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surface method</title> <meta name="description" content="Search results for: response surface method"> <meta name="keywords" content="response surface method"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block 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action="https://publications.waset.org/abstracts/search"> <div id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="response surface method"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 27306</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: response surface method</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">27306</span> Evaluation of a Surrogate Based Method for Global Optimization</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=David%20Lindstr%C3%B6m">David Lindström</a> </p> <p class="card-text"><strong>Abstract:</strong></p> We evaluate the performance of a numerical method for global optimization of expensive functions. The method is using a response surface to guide the search for the global optimum. This metamodel could be based on radial basis functions, kriging, or a combination of different models. We discuss how to set the cycling parameters of the optimization method to get a balance between local and global search. We also discuss the eventual problem with Runge oscillations in the response surface. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=expensive%20function" title="expensive function">expensive function</a>, <a href="https://publications.waset.org/abstracts/search?q=infill%20sampling%20criterion" title=" infill sampling criterion"> infill sampling criterion</a>, <a href="https://publications.waset.org/abstracts/search?q=kriging" title=" kriging"> kriging</a>, <a href="https://publications.waset.org/abstracts/search?q=global%20optimization" title=" global optimization"> global optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=response%20surface" title=" response surface"> response surface</a>, <a href="https://publications.waset.org/abstracts/search?q=Runge%20phenomenon" title=" Runge phenomenon"> Runge phenomenon</a> </p> <a href="https://publications.waset.org/abstracts/24538/evaluation-of-a-surrogate-based-method-for-global-optimization" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/24538.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">578</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">27305</span> Study on Optimization Design of Pressure Hull for Underwater Vehicle</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Qasim%20Idrees">Qasim Idrees</a>, <a href="https://publications.waset.org/abstracts/search?q=Gao%20Liangtian"> Gao Liangtian</a>, <a href="https://publications.waset.org/abstracts/search?q=Liu%20Bo"> Liu Bo</a>, <a href="https://publications.waset.org/abstracts/search?q=Miao%20Yiran"> Miao Yiran</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In order to improve the efficiency and accuracy of the pressure hull structure, optimization of underwater vehicle based on response surface methodology, a method for optimizing the design of pressure hull structure was studied. To determine the pressure shell of five dimensions as a design variable, the application of thin shell theory and the Chinese Classification Society (CCS) specification was carried on the preliminary design. In order to optimize variables of the feasible region, different methods were studied and implemented such as Opt LHD method (to determine the design test sample points in the feasible domain space), parametric ABAQUS solution for each sample point response, and the two-order polynomial response for the surface model of the limit load of structures. Based on the ultimate load of the structure and the quality of the shell, the two-generation genetic algorithm was used to solve the response surface, and the Pareto optimal solution set was obtained. The final optimization result was 41.68% higher than that of the initial design, and the shell quality was reduced by about 27.26%. The parametric method can ensure the accuracy of the test and improve the efficiency of optimization. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=parameterization" title="parameterization">parameterization</a>, <a href="https://publications.waset.org/abstracts/search?q=response%20surface" title=" response surface"> response surface</a>, <a href="https://publications.waset.org/abstracts/search?q=structure%20optimization" title=" structure optimization"> structure optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=pressure%20hull" title=" pressure hull"> pressure hull</a> </p> <a href="https://publications.waset.org/abstracts/77052/study-on-optimization-design-of-pressure-hull-for-underwater-vehicle" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/77052.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">233</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">27304</span> Seismic Vulnerability Analysis of Arch Dam Based on Response Surface Method</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Serges%20Mendomo%20Meye">Serges Mendomo Meye</a>, <a href="https://publications.waset.org/abstracts/search?q=Li%20Guowei"> Li Guowei</a>, <a href="https://publications.waset.org/abstracts/search?q=Shen%20Zhenzhong"> Shen Zhenzhong</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Earthquake is one of the main loads threatening dam safety. Once the dam is damaged, it will bring huge losses of life and property to the country and people. Therefore, it is very important to research the seismic safety of the dam. Due to the complex foundation conditions, high fortification intensity, and high scientific and technological content, it is necessary to adopt reasonable methods to evaluate the seismic safety performance of concrete arch dams built and under construction in strong earthquake areas. Structural seismic vulnerability analysis can predict the probability of structural failure at all levels under different intensity earthquakes, which can provide a scientific basis for reasonable seismic safety evaluation and decision-making. In this paper, the response surface method (RSM) is applied to the seismic vulnerability analysis of arch dams, which improves the efficiency of vulnerability analysis. Based on the central composite test design method, the material-seismic intensity samples are established. The response surface model (RSM) with arch crown displacement as performance index is obtained by finite element (FE) calculation of the samples, and then the accuracy of the response surface model (RSM) is verified. To obtain the seismic vulnerability curves, the seismic intensity measure ??(?1) is chosen to be 0.1~1.2g, with an interval of 0.1g and a total of 12 intensity levels. For each seismic intensity level, the arch crown displacement corresponding to 100 sets of different material samples can be calculated by algebraic operation of the response surface model (RSM), which avoids 1200 times of nonlinear dynamic calculation of arch dam; thus, the efficiency of vulnerability analysis is improved greatly. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=high%20concrete%20arch%20dam" title="high concrete arch dam">high concrete arch dam</a>, <a href="https://publications.waset.org/abstracts/search?q=performance%20index" title=" performance index"> performance index</a>, <a href="https://publications.waset.org/abstracts/search?q=response%20surface%20method" title=" response surface method"> response surface method</a>, <a href="https://publications.waset.org/abstracts/search?q=seismic%20vulnerability%20analysis" title=" seismic vulnerability analysis"> seismic vulnerability analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=vector-valued%20intensity%20measure" title=" vector-valued intensity measure"> vector-valued intensity measure</a> </p> <a href="https://publications.waset.org/abstracts/140363/seismic-vulnerability-analysis-of-arch-dam-based-on-response-surface-method" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/140363.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">240</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">27303</span> Multi Response Optimization in Drilling Al6063/SiC/15% Metal Matrix Composite</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hari%20Singh">Hari Singh</a>, <a href="https://publications.waset.org/abstracts/search?q=Abhishek%20Kamboj"> Abhishek Kamboj</a>, <a href="https://publications.waset.org/abstracts/search?q=Sudhir%20Kumar"> Sudhir Kumar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This investigation proposes a grey-based Taguchi method to solve the multi-response problems. The grey-based Taguchi method is based on the Taguchi’s design of experimental method, and adopts Grey Relational Analysis (GRA) to transfer multi-response problems into single-response problems. In this investigation, an attempt has been made to optimize the drilling process parameters considering weighted output response characteristics using grey relational analysis. The output response characteristics considered are surface roughness, burr height and hole diameter error under the experimental conditions of cutting speed, feed rate, step angle, and cutting environment. The drilling experiments were conducted using L27 orthogonal array. A combination of orthogonal array, design of experiments and grey relational analysis was used to ascertain best possible drilling process parameters that give minimum surface roughness, burr height and hole diameter error. The results reveal that combination of Taguchi design of experiment and grey relational analysis improves surface quality of drilled hole. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=metal%20matrix%20composite" title="metal matrix composite">metal matrix composite</a>, <a href="https://publications.waset.org/abstracts/search?q=drilling" title=" drilling"> drilling</a>, <a href="https://publications.waset.org/abstracts/search?q=optimization" title=" optimization"> optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=step%20drill" title=" step drill"> step drill</a>, <a href="https://publications.waset.org/abstracts/search?q=surface%20roughness" title=" surface roughness"> surface roughness</a>, <a href="https://publications.waset.org/abstracts/search?q=burr%20height" title=" burr height"> burr height</a>, <a href="https://publications.waset.org/abstracts/search?q=hole%20diameter%20error" title=" hole diameter error"> hole diameter error</a> </p> <a href="https://publications.waset.org/abstracts/5901/multi-response-optimization-in-drilling-al6063sic15-metal-matrix-composite" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/5901.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">319</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">27302</span> Establishment and Application of Numerical Simulation Model for Shot Peen Forming Stress Field Method</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Shuo%20Tian">Shuo Tian</a>, <a href="https://publications.waset.org/abstracts/search?q=Xuepiao%20Bai"> Xuepiao Bai</a>, <a href="https://publications.waset.org/abstracts/search?q=Jianqin%20Shang"> Jianqin Shang</a>, <a href="https://publications.waset.org/abstracts/search?q=Pengtao%20Gai"> Pengtao Gai</a>, <a href="https://publications.waset.org/abstracts/search?q=Yuansong%20Zeng"> Yuansong Zeng</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Shot peen forming is an essential forming process for aircraft metal wing panel. With the development of computer simulation technology, scholars have proposed a numerical simulation method of shot peen forming based on stress field. Three shot peen forming indexes of crater diameter, shot speed and surface coverage are required as simulation parameters in the stress field method. It is necessary to establish the relationship between simulation and experimental process parameters in order to simulate the deformation under different shot peen forming parameters. The shot peen forming tests of the 2024-T351 aluminum alloy workpieces were carried out using uniform test design method, and three factors of air pressure, feed rate and shot flow were selected. The second-order response surface model between simulation parameters and uniform test factors was established by stepwise regression method using MATLAB software according to the results. The response surface model was combined with the stress field method to simulate the shot peen forming deformation of the workpiece. Compared with the experimental results, the simulated values were smaller than the corresponding test values, the maximum and average errors were 14.8% and 9%, respectively. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=shot%20peen%20forming" title="shot peen forming">shot peen forming</a>, <a href="https://publications.waset.org/abstracts/search?q=process%20parameter" title=" process parameter"> process parameter</a>, <a href="https://publications.waset.org/abstracts/search?q=response%20surface%20model" title=" response surface model"> response surface model</a>, <a href="https://publications.waset.org/abstracts/search?q=numerical%20simulation" title=" numerical simulation"> numerical simulation</a> </p> <a href="https://publications.waset.org/abstracts/163364/establishment-and-application-of-numerical-simulation-model-for-shot-peen-forming-stress-field-method" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/163364.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">87</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">27301</span> Seismic Investigation on the Effect of Surface Structures and Twin Tunnel on the Site Response in Urban Areas</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Seyed%20Abolhasan%20Naeini">Seyed Abolhasan Naeini</a>, <a href="https://publications.waset.org/abstracts/search?q=Saeideh%20Mohammadi"> Saeideh Mohammadi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Site response has a profound effect on earthquake damages. Seismic interaction of urban tunnels with surface structures could also affect seismic site response<strong><span dir="RTL">.</span></strong> Here, we use FLAC 2D to investigate the interaction of a single tunnel and twin tunnels-surface structures on the site response. Soil stratification and properties are selected based on Line. No 7 of the Tehran subway. The effect of surface structure is considered in two ways: Equivalent surcharge and geometrical modeling of the structure. Comparison of the results shows that consideration of the structure geometry is vital in dynamic analysis and leads to the changes in the magnitude of displacements, accelerations and response spectrum. Therefore it is necessary for the surface structures to be wholly modeled and not just considered as a surcharge in dynamic analysis. The use of twin tunnel also leads to the reduction of dynamic residual settlement<span dir="RTL">.</span> <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=superstructure" title="superstructure">superstructure</a>, <a href="https://publications.waset.org/abstracts/search?q=tunnel" title=" tunnel"> tunnel</a>, <a href="https://publications.waset.org/abstracts/search?q=site%20response" title=" site response"> site response</a>, <a href="https://publications.waset.org/abstracts/search?q=surcharge" title=" surcharge"> surcharge</a>, <a href="https://publications.waset.org/abstracts/search?q=interaction" title=" interaction"> interaction</a> </p> <a href="https://publications.waset.org/abstracts/106616/seismic-investigation-on-the-effect-of-surface-structures-and-twin-tunnel-on-the-site-response-in-urban-areas" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/106616.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">164</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">27300</span> Modeling of Austenitic Stainless Steel during Face Milling Using Response Surface Methodology</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=A.%20A.%20Selaimia">A. A. Selaimia</a>, <a href="https://publications.waset.org/abstracts/search?q=H.%20Bensouilah"> H. Bensouilah</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20A.%20Yallese"> M. A. Yallese</a>, <a href="https://publications.waset.org/abstracts/search?q=I.%20Meddour"> I. Meddour</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20Belhadi"> S. Belhadi</a>, <a href="https://publications.waset.org/abstracts/search?q=T.%20Mabrouki"> T. Mabrouki</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The objective of this work is to model the output responses namely; surface roughness (Ra), cutting force (Fc), during the face milling of the austenitic stainless steel X2CrNi18-9 with coated carbide tools (GC4040). For raison, response surface methodology (RMS) is used to determine the influence of each technological parameter. A full factorial design (L27) is chosen for the experiments, and the ANOVA is used in order to evaluate the influence of the technological cutting parameters namely; cutting speed (Vc), feed per tooth, and depth of cut (ap) on the out-put responses. The results reveal that (Ra) is mostly influenced by (fz) and (Fc) is found considerably affected by (ap). <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=austenitic%20stainless%20steel" title="austenitic stainless steel">austenitic stainless steel</a>, <a href="https://publications.waset.org/abstracts/search?q=ANOVA" title=" ANOVA"> ANOVA</a>, <a href="https://publications.waset.org/abstracts/search?q=coated%20carbide" title=" coated carbide"> coated carbide</a>, <a href="https://publications.waset.org/abstracts/search?q=response%20surface%20methodology%20%28RSM%29" title=" response surface methodology (RSM)"> response surface methodology (RSM)</a> </p> <a href="https://publications.waset.org/abstracts/75643/modeling-of-austenitic-stainless-steel-during-face-milling-using-response-surface-methodology" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/75643.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">369</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">27299</span> Application of Response Surface Methodology (RSM) for Optimization of Fluoride Removal by Using Banana Peel</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Pallavi%20N.">Pallavi N.</a>, <a href="https://publications.waset.org/abstracts/search?q=Gayatri%20Jadhav"> Gayatri Jadhav</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Good quality water is of prime importance for a healthy living. Fluoride is one such mineral present in water which causes many health problems in humans and specially children. Fluoride is said to be a double edge sword because lesser and higher concentration of fluoride in drinking water can cause both dental and skeletal fluorosis. Fluoride is one of the important mineral usually present at a higher concentration in ground water. There are many researches being carried out for defluoridation method. In the present research, fluoride removal is demonstrated using banana peel which is a biowaste as a biocoagulant. Response Surface Methodology (RSM) is a statistical design tool which is used to design the experiment. Central Composite Design (CCD) was used to determine the influence of the pH and dosage of the coagulant on the optimal removal of fluoride from a simulated water sample. 895 of fluoride removal were obtained in a acidic pH range of 4 – 9 and bio coagulant dosage of dosage of 18 – 20mg/L. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Fluoride" title="Fluoride">Fluoride</a>, <a href="https://publications.waset.org/abstracts/search?q=Response%20Surface%20Methodology" title=" Response Surface Methodology"> Response Surface Methodology</a>, <a href="https://publications.waset.org/abstracts/search?q=Dosage" title=" Dosage"> Dosage</a>, <a href="https://publications.waset.org/abstracts/search?q=banana%20peel" title=" banana peel"> banana peel</a> </p> <a href="https://publications.waset.org/abstracts/122011/application-of-response-surface-methodology-rsm-for-optimization-of-fluoride-removal-by-using-banana-peel" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/122011.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">160</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">27298</span> Photo-Fenton Decolorization of Methylene Blue Adsolubilized on Co2+ -Embedded Alumina Surface: Comparison of Process Modeling through Response Surface Methodology and Artificial Neural Network</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Prateeksha%20Mahamallik">Prateeksha Mahamallik</a>, <a href="https://publications.waset.org/abstracts/search?q=Anjali%20Pal"> Anjali Pal</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In the present study, Co(II)-adsolubilized surfactant modified alumina (SMA) was prepared, and methylene blue (MB) degradation was carried out on Co-SMA surface by visible light photo-Fenton process. The entire reaction proceeded on solid surface as MB was embedded on Co-SMA surface. The reaction followed zero order kinetics. Response surface methodology (RSM) and artificial neural network (ANN) were used for modeling the decolorization of MB by photo-Fenton process as a function of dose of Co-SMA (10, 20 and 30 g/L), initial concentration of MB (10, 20 and 30 mg/L), concentration of H2O2 (174.4, 348.8 and 523.2 mM) and reaction time (30, 45 and 60 min). The prediction capabilities of both the methodologies (RSM and ANN) were compared on the basis of correlation coefficient (R2), root mean square error (RMSE), standard error of prediction (SEP), relative percent deviation (RPD). Due to lower value of RMSE (1.27), SEP (2.06) and RPD (1.17) and higher value of R2 (0.9966), ANN was proved to be more accurate than RSM in order to predict decolorization efficiency. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=adsolubilization" title="adsolubilization">adsolubilization</a>, <a href="https://publications.waset.org/abstracts/search?q=artificial%20neural%20network" title=" artificial neural network"> artificial neural network</a>, <a href="https://publications.waset.org/abstracts/search?q=methylene%20blue" title=" methylene blue"> methylene blue</a>, <a href="https://publications.waset.org/abstracts/search?q=photo-fenton%20process" title=" photo-fenton process"> photo-fenton process</a>, <a href="https://publications.waset.org/abstracts/search?q=response%20surface%20methodology" title=" response surface methodology"> response surface methodology</a> </p> <a href="https://publications.waset.org/abstracts/55686/photo-fenton-decolorization-of-methylene-blue-adsolubilized-on-co2-embedded-alumina-surface-comparison-of-process-modeling-through-response-surface-methodology-and-artificial-neural-network" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/55686.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">254</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">27297</span> Mecano-Reliability Coupled of Reinforced Concrete Structure and Vulnerability Analysis: Case Study</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kernou%20Nassim">Kernou Nassim</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The current study presents a vulnerability and a reliability-mechanical approach that focuses on evaluating the seismic performance of reinforced concrete structures to determine the probability of failure. In this case, the performance function reflecting the non-linear behavior of the structure is modeled by a response surface to establish an analytical relationship between the random variables (strength of concrete and yield strength of steel) and mechanical responses of the structure (inter-floor displacement) obtained by the pushover results of finite element simulations. The push over-analysis is executed by software SAP2000. The results acquired prove that properly designed frames will perform well under seismic loads. It is a comparative study of the behavior of the existing structure before and after reinforcement using the pushover method. The coupling indirect mechanical reliability by response surface avoids prohibitive calculation times. Finally, the results of the proposed approach are compared with Monte Carlo Simulation. The comparative study shows that the structure is more reliable after the introduction of new shear walls. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=finite%20element%20method" title="finite element method">finite element method</a>, <a href="https://publications.waset.org/abstracts/search?q=surface%20response" title=" surface response"> surface response</a>, <a href="https://publications.waset.org/abstracts/search?q=reliability" title=" reliability"> reliability</a>, <a href="https://publications.waset.org/abstracts/search?q=reliability%20mechanical%20coupling" title=" reliability mechanical coupling"> reliability mechanical coupling</a>, <a href="https://publications.waset.org/abstracts/search?q=vulnerability" title=" vulnerability"> vulnerability</a> </p> <a href="https://publications.waset.org/abstracts/123462/mecano-reliability-coupled-of-reinforced-concrete-structure-and-vulnerability-analysis-case-study" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/123462.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">117</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">27296</span> Optimization of Wear during Dry Sliding Wear of AISI 1042 Steel Using Response Surface Methodology</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sukant%20Mehra">Sukant Mehra</a>, <a href="https://publications.waset.org/abstracts/search?q=Parth%20Gupta"> Parth Gupta</a>, <a href="https://publications.waset.org/abstracts/search?q=Varun%20Arora"> Varun Arora</a>, <a href="https://publications.waset.org/abstracts/search?q=Sarvoday%20Singh"> Sarvoday Singh</a>, <a href="https://publications.waset.org/abstracts/search?q=Amit%20Kohli"> Amit Kohli</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The study was emphasised on dry sliding wear behavior of AISI 1042 steel. Dry sliding wear tests were performed using pin-on-disk apparatus under normal loads of 5, 7.5 and 10 kgf and at speeds 600, 750 and 900 rpm. Response surface methodology (RSM) was utilized for finding optimal values of process parameter and experiment was based on rotatable, central composite design (CCD). It was found that the wear followed linear pattern with the load and rpm. The obtained optimal process parameters have been predicted and verified by confirmation experiments. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=central%20composite%20design%20%28CCD%29" title="central composite design (CCD)">central composite design (CCD)</a>, <a href="https://publications.waset.org/abstracts/search?q=optimization" title=" optimization"> optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=response%20surface%20methodology%20%28RSM%29" title=" response surface methodology (RSM)"> response surface methodology (RSM)</a>, <a href="https://publications.waset.org/abstracts/search?q=wear" title=" wear"> wear</a> </p> <a href="https://publications.waset.org/abstracts/14478/optimization-of-wear-during-dry-sliding-wear-of-aisi-1042-steel-using-response-surface-methodology" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/14478.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">577</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">27295</span> Non-Destructive Evaluation for Physical State Monitoring of an Angle Section Thin-Walled Curved Beam</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Palash%20Dey">Palash Dey</a>, <a href="https://publications.waset.org/abstracts/search?q=Sudip%20Talukdar"> Sudip Talukdar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this work, a cross-breed approach is presented for obtaining both the amount of the damage intensity and location of damage existing in thin-walled members. This cross-breed approach is developed based on response surface methodology (RSM) and genetic algorithm (GA). Theoretical finite element (FE) model of cracked angle section thin walled curved beam has been linked to the developed approach to carry out trial experiments to generate response surface functions (RSFs) of free, forced and heterogeneous dynamic response data. Subsequently, the error between the computed response surface functions and measured dynamic response data has been minimized using GA to find out the optimum damage parameters (amount of the damage intensity and location). A single crack of varying location and depth has been considered in this study. The presented approach has been found to reveal good accuracy in prediction of crack parameters and possess great potential in crack detection as it requires only the current response of a cracked beam. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=damage%20parameters" title="damage parameters">damage parameters</a>, <a href="https://publications.waset.org/abstracts/search?q=finite%20element" title=" finite element"> finite element</a>, <a href="https://publications.waset.org/abstracts/search?q=genetic%20algorithm" title=" genetic algorithm"> genetic algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=response%20surface%20methodology" title=" response surface methodology"> response surface methodology</a>, <a href="https://publications.waset.org/abstracts/search?q=thin%20walled%20curved%20beam" title=" thin walled curved beam"> thin walled curved beam</a> </p> <a href="https://publications.waset.org/abstracts/61679/non-destructive-evaluation-for-physical-state-monitoring-of-an-angle-section-thin-walled-curved-beam" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/61679.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">248</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">27294</span> Analysis of Surface Hardness, Surface Roughness and near Surface Microstructure of AISI 4140 Steel Worked with Turn-Assisted Deep Cold Rolling Process</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=P.%20R.%20Prabhu">P. R. Prabhu</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20M.%20Kulkarni"> S. M. Kulkarni</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20S.%20Sharma"> S. S. Sharma</a>, <a href="https://publications.waset.org/abstracts/search?q=K.%20Jagannath"> K. Jagannath</a>, <a href="https://publications.waset.org/abstracts/search?q=Achutha%20Kini%20U."> Achutha Kini U. </a> </p> <p class="card-text"><strong>Abstract:</strong></p> In the present study, response surface methodology has been used to optimize turn-assisted deep cold rolling process of AISI 4140 steel. A regression model is developed to predict surface hardness and surface roughness using response surface methodology and central composite design. In the development of predictive model, deep cold rolling force, ball diameter, initial roughness of the workpiece, and number of tool passes are considered as model variables. The rolling force and the ball diameter are the significant factors on the surface hardness and ball diameter and numbers of tool passes are found to be significant for surface roughness. The predicted surface hardness and surface roughness values and the subsequent verification experiments under the optimal operating conditions confirmed the validity of the predicted model. The absolute average error between the experimental and predicted values at the optimal combination of parameter settings for surface hardness and surface roughness is calculated as 0.16% and 1.58% respectively. Using the optimal processing parameters, the hardness is improved from 225 to 306 HV, which resulted in an increase in the near surface hardness by about 36% and the surface roughness is improved from 4.84µm to 0.252 µm, which resulted in decrease in the surface roughness by about 95%. The depth of compression is found to be more than 300µm from the microstructure analysis and this is in correlation with the results obtained from the microhardness measurements. Taylor Hobson Talysurf tester, micro Vickers hardness tester, optical microscopy and X-ray diffractometer are used to characterize the modified surface layer. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=hardness" title="hardness">hardness</a>, <a href="https://publications.waset.org/abstracts/search?q=response%20surface%20methodology" title=" response surface methodology"> response surface methodology</a>, <a href="https://publications.waset.org/abstracts/search?q=microstructure" title=" microstructure"> microstructure</a>, <a href="https://publications.waset.org/abstracts/search?q=central%20composite%20design" title=" central composite design"> central composite design</a>, <a href="https://publications.waset.org/abstracts/search?q=deep%20cold%20rolling" title=" deep cold rolling"> deep cold rolling</a>, <a href="https://publications.waset.org/abstracts/search?q=surface%20roughness" title=" surface roughness"> surface roughness</a> </p> <a href="https://publications.waset.org/abstracts/26087/analysis-of-surface-hardness-surface-roughness-and-near-surface-microstructure-of-aisi-4140-steel-worked-with-turn-assisted-deep-cold-rolling-process" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/26087.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">422</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">27293</span> Effect of Process Variables of Wire Electrical Discharge Machining on Surface Roughness for AA-6063 by Response Surface Methodology</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Deepak">Deepak</a> </p> <p class="card-text"><strong>Abstract:</strong></p> WEDM is an amazingly potential electro-wire process for machining of hard metal compounds and metal grid composites without making contact. Wire electrical machining is a developing noncustomary machining process for machining hard to machine materials that are electrically conductive. It is an exceptionally exact, precise, and one of the most famous machining forms in nontraditional machining. WEDM has turned into the fundamental piece of many assembling process ventures, which require precision, variety, and accuracy. In the present examination, AA-6063 is utilized as a workpiece, and execution investigation is done to discover the critical control factors. Impact of different parameters like a pulse on time, pulse off time, servo voltage, peak current, water pressure, wire tension, wire feed upon surface hardness has been researched while machining on AA-6063. RSM has been utilized to advance the yield variable. A variety of execution measures with input factors was demonstrated by utilizing the response surface methodology. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=AA-6063" title="AA-6063">AA-6063</a>, <a href="https://publications.waset.org/abstracts/search?q=response%20surface%20methodology" title=" response surface methodology"> response surface methodology</a>, <a href="https://publications.waset.org/abstracts/search?q=WEDM" title=" WEDM"> WEDM</a>, <a href="https://publications.waset.org/abstracts/search?q=surface%20roughness" title=" surface roughness"> surface roughness</a> </p> <a href="https://publications.waset.org/abstracts/119358/effect-of-process-variables-of-wire-electrical-discharge-machining-on-surface-roughness-for-aa-6063-by-response-surface-methodology" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/119358.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">116</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">27292</span> Study of the Effect of the Continuous Electric Field on the Rd Cancer Cell Line by Response Surface Methodology</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Radia%20Chemlal">Radia Chemlal</a>, <a href="https://publications.waset.org/abstracts/search?q=Salim%20Mehenni"> Salim Mehenni</a>, <a href="https://publications.waset.org/abstracts/search?q=Dahbia%20Leila%20Anes-boulahbal"> Dahbia Leila Anes-boulahbal</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohamed%20Kherat"> Mohamed Kherat</a>, <a href="https://publications.waset.org/abstracts/search?q=Nabil%20Mameri"> Nabil Mameri</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The application of the electric field is considered to be a very promising method in cancer therapy. Indeed, cancer cells are very sensitive to the electric field, although the cellular response is not entirely clear. The tests carried out consisted in subjecting the RD cell line under the effect of the continuous electric field while varying certain parameters (voltage, exposure time, and cell concentration). The response surface methodology (RSM) was used to assess the effect of the chosen parameters, as well as the existence of interactions between them. The results obtained showed that the voltage, the cell concentration as well as the interaction between voltage and exposure time have an influence on the mortality rate of the RD cell line. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=continuous%20electric%20field" title="continuous electric field">continuous electric field</a>, <a href="https://publications.waset.org/abstracts/search?q=RD%20cancer%20cell%20line" title=" RD cancer cell line"> RD cancer cell line</a>, <a href="https://publications.waset.org/abstracts/search?q=RSM" title=" RSM"> RSM</a>, <a href="https://publications.waset.org/abstracts/search?q=voltage" title=" voltage"> voltage</a> </p> <a href="https://publications.waset.org/abstracts/159144/study-of-the-effect-of-the-continuous-electric-field-on-the-rd-cancer-cell-line-by-response-surface-methodology" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/159144.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">113</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">27291</span> Optimization Analysis of a Concentric Tube Heat Exchanger with Field Synergy Principle</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=M.%20C.%20Lin">M. C. Lin</a>, <a href="https://publications.waset.org/abstracts/search?q=C.%20W.%20Su"> C. W. Su</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The paper investigates the optimization analysis to the heat exchanger design, mainly with response surface method and genetic algorithm to explore the relationship between optimal fluid flow velocity and temperature of the heat exchanger using field synergy principle. First, finite volume method is proposed to calculate the flow temperature and flow rate distribution for numerical analysis. We identify the most suitable simulation equations by response surface methodology. Furthermore, a genetic algorithm approach is applied to optimize the relationship between fluid flow velocity and flow temperature of the heat exchanger. The results show that the field synergy angle plays vital role in the performance of a true heat exchanger. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=optimization%20analysis" title="optimization analysis">optimization analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=field%20synergy" title=" field synergy"> field synergy</a>, <a href="https://publications.waset.org/abstracts/search?q=heat%20exchanger" title=" heat exchanger"> heat exchanger</a>, <a href="https://publications.waset.org/abstracts/search?q=genetic%20algorithm" title=" genetic algorithm"> genetic algorithm</a> </p> <a href="https://publications.waset.org/abstracts/50449/optimization-analysis-of-a-concentric-tube-heat-exchanger-with-field-synergy-principle" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/50449.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">307</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">27290</span> Multi-Response Optimization of CNC Milling Parameters Using Taguchi Based Grey Relational Analysis for AA6061 T6 Aluminium Alloy</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Varsha%20Singh">Varsha Singh</a>, <a href="https://publications.waset.org/abstracts/search?q=Kishan%20Fuse"> Kishan Fuse</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents a study of the grey-Taguchi method to optimize CNC milling parameters of AA6061 T6 aluminium alloy. Grey-Taguchi method combines Taguchi method based design of experiments (DOE) with grey relational analysis (GRA). Multi-response optimization of different quality characteristics as surface roughness, material removal rate, cutting forces is done using grey relational analysis (GRA). The milling parameters considered for experiments include cutting speed, feed per tooth, and depth of cut. Each parameter with three levels is selected. A grey relational grade is used to estimate overall quality characteristics performance. The Taguchi’s L9 orthogonal array is used for design of experiments. MINITAB 17 software is used for optimization. Analysis of variance (ANOVA) is used to identify most influencing parameter. The experimental results show that grey relational analysis is effective method for optimizing multi-response characteristics. Optimum results are finally validated by performing confirmation test. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ANOVA" title="ANOVA">ANOVA</a>, <a href="https://publications.waset.org/abstracts/search?q=CNC%20milling" title=" CNC milling"> CNC milling</a>, <a href="https://publications.waset.org/abstracts/search?q=grey%20relational%20analysis" title=" grey relational analysis"> grey relational analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=multi-response%20optimization" title=" multi-response optimization"> multi-response optimization</a> </p> <a href="https://publications.waset.org/abstracts/61719/multi-response-optimization-of-cnc-milling-parameters-using-taguchi-based-grey-relational-analysis-for-aa6061-t6-aluminium-alloy" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/61719.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">307</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">27289</span> Novel Technique for calculating Surface Potential Gradient of Overhead Line Conductors</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sudip%20Sudhir%20Godbole">Sudip Sudhir Godbole</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In transmission line surface potential gradient is a critical design parameter for planning overhead line, as it determines the level of corona loss (CL), radio interference (RI) and audible noise (AN).With increase of transmission line voltage level bulk power transfer is possible, using bundle conductor configuration used, it is more complex to find accurate surface stress in bundle configuration. The majority of existing models for surface gradient calculations are based on analytical methods which restrict their application in simulating complex surface geometry. This paper proposes a novel technique which utilizes both analytical and numerical procedure to predict the surface gradient. One of 400 kV transmission line configurations has been selected as an example to compare the results for different methods. The different strand shapes are a key variable in determining. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=surface%20gradient" title="surface gradient">surface gradient</a>, <a href="https://publications.waset.org/abstracts/search?q=Maxwell%20potential%20coefficient%20method" title=" Maxwell potential coefficient method"> Maxwell potential coefficient method</a>, <a href="https://publications.waset.org/abstracts/search?q=market%20and%20Mengele%E2%80%99s%20method" title=" market and Mengele’s method"> market and Mengele’s method</a>, <a href="https://publications.waset.org/abstracts/search?q=successive%20images%20method" title=" successive images method"> successive images method</a>, <a href="https://publications.waset.org/abstracts/search?q=charge%20simulation%20method" title=" charge simulation method"> charge simulation method</a>, <a href="https://publications.waset.org/abstracts/search?q=finite%20element%20method" title=" finite element method "> finite element method </a> </p> <a href="https://publications.waset.org/abstracts/15407/novel-technique-for-calculating-surface-potential-gradient-of-overhead-line-conductors" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/15407.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">538</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">27288</span> Statistical Analysis of Surface Roughness and Tool Life Using (RSM) in Face Milling </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mohieddine%20Benghersallah">Mohieddine Benghersallah</a>, <a href="https://publications.waset.org/abstracts/search?q=Lakhdar%20Boulanouar"> Lakhdar Boulanouar</a>, <a href="https://publications.waset.org/abstracts/search?q=Salim%20Belhadi"> Salim Belhadi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Currently, higher production rate with required quality and low cost is the basic principle in the competitive manufacturing industry. This is mainly achieved by using high cutting speed and feed rates. Elevated temperatures in the cutting zone under these conditions shorten tool life and adversely affect the dimensional accuracy and surface integrity of component. Thus it is necessary to ﬁnd optimum cutting conditions (cutting speed, feed rate, machining environment, tool material and geometry) that can produce components in accordance with the project and having a relatively high production rate. Response surface methodology is a collection of mathematical and statistical techniques that are useful for modelling and analysis of problems in which a response of interest is influenced by several variables and the objective is to optimize this response. The work presented in this paper examines the effects of cutting parameters (cutting speed, feed rate and depth of cut) on to the surface roughness through the mathematical model developed by using the data gathered from a series of milling experiments performed. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Statistical%20analysis%20%28RSM%29" title="Statistical analysis (RSM)">Statistical analysis (RSM)</a>, <a href="https://publications.waset.org/abstracts/search?q=Bearing%20steel" title=" Bearing steel"> Bearing steel</a>, <a href="https://publications.waset.org/abstracts/search?q=Coating%20inserts" title=" Coating inserts"> Coating inserts</a>, <a href="https://publications.waset.org/abstracts/search?q=Tool%20life" title=" Tool life"> Tool life</a>, <a href="https://publications.waset.org/abstracts/search?q=Surface%20Roughness" title=" Surface Roughness"> Surface Roughness</a>, <a href="https://publications.waset.org/abstracts/search?q=End%20milling." title=" End milling."> End milling.</a> </p> <a href="https://publications.waset.org/abstracts/21079/statistical-analysis-of-surface-roughness-and-tool-life-using-rsm-in-face-milling" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/21079.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">432</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">27287</span> Synergistic Studies of Multi-Flame Retarders Using Silica Nanoparticles, and Nitrogen and Phosphorus-Based Compounds for Polystyrene Using Response Surface Methodology</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Florencio%20D.%20De%20Los%20Reyes">Florencio D. De Los Reyes</a>, <a href="https://publications.waset.org/abstracts/search?q=Magdaleno%20R.%20Vasquez%20Jr."> Magdaleno R. Vasquez Jr.</a>, <a href="https://publications.waset.org/abstracts/search?q=Mark%20Daniel%20G.%20De%20Luna"> Mark Daniel G. De Luna</a>, <a href="https://publications.waset.org/abstracts/search?q=Peerasak%20Paoprasert"> Peerasak Paoprasert</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The effect of adding silica nanoparticles (SiNPs) obtained from rice husk, and phosphorus and nitrogen based compounds namely 9,10-dihydro-9-oxa-10-phosphaphenantrene-10-oxide (DOPO) and melamine, respectively, on the flammability of polystyrene (PS) was studied using response surface methodology (RSM). The flammability of PS was reduced as the limiting oxygen index (LOI) values increased when the flame retardant additives were added. DOPO exhibited the best retarding property increasing the LOI value of PS by 42.4%. A quadratic model for LOI was obtained from the RSM results, with percent loading of SiNPs, DOPO, and melamine, as independent variables. The observed increase in the LOI value as the percent loading of the flame retardant additives is increased, was attributed both to the main effects and synergistic effects of the parameters, as the LOI response of SiNPs is greatly enhanced by the addition of DOPO and melamine, as shown by the response surface plots. This indicates the potential of producing a cheaper, effective, and non-toxic multi-flame retardant system for the polymeric system via different flame retarding mechanisms. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=flame%20retardancy" title="flame retardancy">flame retardancy</a>, <a href="https://publications.waset.org/abstracts/search?q=polystyrene" title=" polystyrene"> polystyrene</a>, <a href="https://publications.waset.org/abstracts/search?q=response%20surface%20methodology" title=" response surface methodology"> response surface methodology</a>, <a href="https://publications.waset.org/abstracts/search?q=rice%20husk" title=" rice husk"> rice husk</a>, <a href="https://publications.waset.org/abstracts/search?q=silica%20nanoparticle" title=" silica nanoparticle"> silica nanoparticle</a> </p> <a href="https://publications.waset.org/abstracts/52222/synergistic-studies-of-multi-flame-retarders-using-silica-nanoparticles-and-nitrogen-and-phosphorus-based-compounds-for-polystyrene-using-response-surface-methodology" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/52222.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">285</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">27286</span> Signal Processing of Barkhausen Noise Signal for Assessment of Increasing Down Feed in Surface Ground Components with Poor Micro-Magnetic Response</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tanmaya%20Kumar%20Dash">Tanmaya Kumar Dash</a>, <a href="https://publications.waset.org/abstracts/search?q=Tarun%20Karamshetty"> Tarun Karamshetty</a>, <a href="https://publications.waset.org/abstracts/search?q=Soumitra%20Paul"> Soumitra Paul</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The Barkhausen Noise Analysis (BNA) technique has been utilized to assess surface integrity of steels. But the BNA technique is not very successful in evaluating surface integrity of ground steels that exhibit poor micro-magnetic response. A new approach has been proposed for the processing of BN signal with Fast Fourier transforms while Wavelet transforms has been used to remove noise from the BN signal, with judicious choice of the ‘threshold’ value, when the micro-magnetic response of the work material is poor. In the present study, the effect of down feed induced upon conventional plunge surface grinding of hardened bearing steel has been investigated along with an ultrasonically cleaned, wet polished and a sample ground with spark out technique for benchmarking. Moreover, the FFT analysis has been established, at different sets of applied voltages and applied frequency and the pattern of the BN signal in the frequency domain is analyzed. The study also depicts the wavelet transforms technique with different levels of decomposition and different mother wavelets, which has been used to reduce the noise value in BN signal of materials with poor micro-magnetic response, in order to standardize the procedure for all BN signals depending on the frequency of the applied voltage. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=barkhausen%20noise%20analysis" title="barkhausen noise analysis">barkhausen noise analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=grinding" title=" grinding"> grinding</a>, <a href="https://publications.waset.org/abstracts/search?q=magnetic%20properties" title=" magnetic properties"> magnetic properties</a>, <a href="https://publications.waset.org/abstracts/search?q=signal%20processing" title=" signal processing"> signal processing</a>, <a href="https://publications.waset.org/abstracts/search?q=micro-magnetic%20response" title=" micro-magnetic response"> micro-magnetic response</a> </p> <a href="https://publications.waset.org/abstracts/29867/signal-processing-of-barkhausen-noise-signal-for-assessment-of-increasing-down-feed-in-surface-ground-components-with-poor-micro-magnetic-response" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/29867.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">667</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">27285</span> Response Surface Methodology for Optimum Hardness of TiN on Steel Substrate</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=R.%20Joseph%20Raviselvan">R. Joseph Raviselvan</a>, <a href="https://publications.waset.org/abstracts/search?q=K.%20Ramanathan"> K. Ramanathan</a>, <a href="https://publications.waset.org/abstracts/search?q=P.%20Perumal"> P. Perumal</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20R.%20Thansekhar"> M. R. Thansekhar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Hard coatings are widely used in cutting and forming tool industries. Titanium Nitride (TiN) possesses good hardness, strength and corrosion resistant. The coating properties are influenced by many process parameters. The coatings were deposited on steel substrate by changing the process parameters such as substrate temperature, nitrogen flow rate and target power in a D.C planer magnetron sputtering. The structure of coatings were analysed using XRD. The hardness of coatings was found using Micro hardness tester. From the experimental data, a regression model was developed and the optimum response was determined using Response Surface Methodology (RSM). <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=hardness" title="hardness">hardness</a>, <a href="https://publications.waset.org/abstracts/search?q=RSM" title=" RSM"> RSM</a>, <a href="https://publications.waset.org/abstracts/search?q=sputtering" title=" sputtering"> sputtering</a>, <a href="https://publications.waset.org/abstracts/search?q=TiN%20XRD" title=" TiN XRD"> TiN XRD</a> </p> <a href="https://publications.waset.org/abstracts/42534/response-surface-methodology-for-optimum-hardness-of-tin-on-steel-substrate" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/42534.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">321</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">27284</span> Interaction between Trapezoidal Hill and Subsurface Cavity under SH Wave Incidence</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yuanrui%20Xu">Yuanrui Xu</a>, <a href="https://publications.waset.org/abstracts/search?q=Zailin%20Yang"> Zailin Yang</a>, <a href="https://publications.waset.org/abstracts/search?q=Yunqiu%20Song"> Yunqiu Song</a>, <a href="https://publications.waset.org/abstracts/search?q=Guanxixi%20Jiang"> Guanxixi Jiang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> It is an important subject of seismology on the influence of local topography on ground motion during earthquake. In mountainous areas with complex terrain, the construction of the tunnel is often the most effective transportation scheme. In these projects, the local terrain can be simplified into hills with different shapes, and the underground tunnel structure can be regarded as a subsurface cavity. The presence of the subsurface cavity affects the strength of the rock mass and changes the deformation and failure characteristics. Moreover, the scattering of the elastic waves by underground structures usually interacts with local terrains, which leads to a significant influence on the surface displacement of the terrains. Therefore, it is of great practical significance to study the surface displacement of local terrains with underground tunnels in earthquake engineering and seismology. In this work, the region is divided into three regions by the method of region matching. By using the fractional Bessel function and Hankel function, the complex function method, and the wave function expansion method, the wavefield expression of SH waves is introduced. With the help of a constitutive relation between the displacement and the stress components, the hoop stress and radial stress is obtained subsequently. Then, utilizing the continuous condition at different region boundaries, the undetermined coefficients in wave fields are solved by the Fourier series expansion and truncation of the finite term. Finally, the validity of the method is verified, and the surface displacement amplitude is calculated. The surface displacement amplitude curve is discussed in the numerical results. The results show that different parameters, such as radius and buried depth of the tunnel, wave number, and incident angle of the SH wave, have a significant influence on the amplitude of surface displacement. For the underground tunnel, the increase of buried depth will make the response of surface displacement amplitude increases at first and then decreases. However, the increase of radius leads the response of surface displacement amplitude to appear an opposite phenomenon. The increase of SH wave number can enlarge the amplitude of surface displacement, and the change of incident angle can obviously affect the amplitude fluctuation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=method%20of%20region%20matching" title="method of region matching">method of region matching</a>, <a href="https://publications.waset.org/abstracts/search?q=scattering%20of%20SH%20wave" title=" scattering of SH wave"> scattering of SH wave</a>, <a href="https://publications.waset.org/abstracts/search?q=subsurface%20cavity" title=" subsurface cavity"> subsurface cavity</a>, <a href="https://publications.waset.org/abstracts/search?q=trapezoidal%20hill" title=" trapezoidal hill"> trapezoidal hill</a> </p> <a href="https://publications.waset.org/abstracts/116536/interaction-between-trapezoidal-hill-and-subsurface-cavity-under-sh-wave-incidence" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/116536.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">133</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">27283</span> Surface Roughness Analysis, Modelling and Prediction in Fused Deposition Modelling Additive Manufacturing Technology</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yusuf%20S.%20Dambatta">Yusuf S. Dambatta</a>, <a href="https://publications.waset.org/abstracts/search?q=Ahmed%20A.%20D.%20Sarhan"> Ahmed A. D. Sarhan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Fused deposition modelling (FDM) is one of the most prominent rapid prototyping (RP) technologies which is being used to efficiently fabricate CAD 3D geometric models. However, the process is coupled with many drawbacks, of which the surface quality of the manufactured RP parts is among. Hence, studies relating to improving the surface roughness have been a key issue in the field of RP research. In this work, a technique of modelling the surface roughness in FDM is presented. Using experimentally measured surface roughness response of the FDM parts, an ANFIS prediction model was developed to obtain the surface roughness in the FDM parts using the main critical process parameters that affects the surface quality. The ANFIS model was validated and compared with experimental test results. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=surface%20roughness" title="surface roughness">surface roughness</a>, <a href="https://publications.waset.org/abstracts/search?q=fused%20deposition%20modelling%20%28FDM%29" title=" fused deposition modelling (FDM)"> fused deposition modelling (FDM)</a>, <a href="https://publications.waset.org/abstracts/search?q=adaptive%20neuro%20fuzzy%20inference%20system%20%28ANFIS%29" title=" adaptive neuro fuzzy inference system (ANFIS)"> adaptive neuro fuzzy inference system (ANFIS)</a>, <a href="https://publications.waset.org/abstracts/search?q=orientation" title=" orientation"> orientation</a> </p> <a href="https://publications.waset.org/abstracts/55529/surface-roughness-analysis-modelling-and-prediction-in-fused-deposition-modelling-additive-manufacturing-technology" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/55529.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">460</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">27282</span> Multi-Objective Optimization of Wear Parameters of Tube Like Clay Mineral Filled Thermoplastic Polymer Using Response Surface Methodology</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Vasu%20Velagapudi">Vasu Velagapudi</a>, <a href="https://publications.waset.org/abstracts/search?q=G.%20Suresh"> G. Suresh </a> </p> <p class="card-text"><strong>Abstract:</strong></p> PTFE/HNTs nanocomposites are fabricated with 4%, 6%, and 8% by weight fraction, and the optimization study of wear parameters are performed using response surface methodology (RSM). The experiments are carried out on a pin on disc (POD) wear tester under different operating parameters planned according to Taguchi L27 orthogonal array. The input factors considered are wt% HNTs addition, sliding velocity, load, and distance with three levels for each factor. From ANOVA: The factors load, speed and distance and their interactions have a significant effect on COF. Also for SWR, composition factor and interaction of load and speed are observed to be significant ( < 0.05) Optimum input parameters corresponding to desirability 1 are found to be: COF (0.11) and SWR (17.5)×10⁻⁶ (mm3/N-m) at 6.34 wt% of composition, 5N of load, 2 km of distance and 1 m/sec of velocity. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=PTFE%2FHNT" title="PTFE/HNT">PTFE/HNT</a>, <a href="https://publications.waset.org/abstracts/search?q=nanocomposites" title=" nanocomposites"> nanocomposites</a>, <a href="https://publications.waset.org/abstracts/search?q=response%20surface%20methodology%20%28RSM%29" title=" response surface methodology (RSM)"> response surface methodology (RSM)</a>, <a href="https://publications.waset.org/abstracts/search?q=specific%20wear%20rate" title=" specific wear rate"> specific wear rate</a> </p> <a href="https://publications.waset.org/abstracts/67177/multi-objective-optimization-of-wear-parameters-of-tube-like-clay-mineral-filled-thermoplastic-polymer-using-response-surface-methodology" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/67177.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">395</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">27281</span> Design and Fabrication of ZSO Nanocomposite Thin Film Based NO2 Gas Sensor</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Bal%20Chandra%20Yadav">Bal Chandra Yadav</a>, <a href="https://publications.waset.org/abstracts/search?q=Rakesh%20K.%20Sonker"> Rakesh K. Sonker</a>, <a href="https://publications.waset.org/abstracts/search?q=Anjali%20%20Sharma"> Anjali Sharma</a>, <a href="https://publications.waset.org/abstracts/search?q=Punit%20Tyagi"> Punit Tyagi</a>, <a href="https://publications.waset.org/abstracts/search?q=Vinay%20Gupta"> Vinay Gupta</a>, <a href="https://publications.waset.org/abstracts/search?q=Monika%20Tomar"> Monika Tomar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In the present study, ZnO doped SnO2 thin films of various compositions were deposited on the surface of a corning substrate by dropping the two sols containing the precursors for composite (ZSO) with subsequent heat treatment. The sensor materials used for selective detection of nitrogen dioxide (NO2) were designed from the correlation between the sensor composition and gas response. The available NO2 sensors are operative at very high temperature (150-800 °C) with low sensing response (2-100) even in higher concentrations. Efforts are continuing towards the development of NO2 gas sensor aiming with an enhanced response along with a reduction in operating temperature by incorporating some catalysts or dopants. Thus in this work, a novel sensor structure based on ZSO nanocomposite has been fabricated using chemical route for the detection of NO2 gas. The structural, surface morphological and optical properties of prepared films have been studied by using X-ray diffraction (XRD), Atomic force microscopy (AFM), Transmission electron microscope (TEM) and UV-visible spectroscopy respectively. The effect of thickness variation from 230 nm to 644 nm of ZSO composite thin film has been studied and the ZSO thin film of thickness ~ 460 nm was found to exhibit the maximum gas sensing response ~ 2.1×103 towards 20 ppm NO2 gas at an operating temperature of 90 °C. The average response and recovery times of the sensor were observed to be 3.51 and 6.91 min respectively. Selectivity of the sensor was checked with the cross-exposure of vapour CO, acetone, IPA, CH4, NH3 and CO2 gases. It was found that besides the higher sensing response towards NO2 gas, the prepared ZSO thin film was also highly selective towards NO2 gas. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ZSO%20nanocomposite%20thin%20film" title="ZSO nanocomposite thin film">ZSO nanocomposite thin film</a>, <a href="https://publications.waset.org/abstracts/search?q=ZnO%20tetrapod%20structure" title=" ZnO tetrapod structure"> ZnO tetrapod structure</a>, <a href="https://publications.waset.org/abstracts/search?q=NO2%20gas%20sensor" title=" NO2 gas sensor"> NO2 gas sensor</a>, <a href="https://publications.waset.org/abstracts/search?q=sol-gel%20method" title=" sol-gel method"> sol-gel method</a> </p> <a href="https://publications.waset.org/abstracts/66929/design-and-fabrication-of-zso-nanocomposite-thin-film-based-no2-gas-sensor" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/66929.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">339</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">27280</span> Evaluation of Forming Properties on AA 5052 Aluminium Alloy by Incremental Forming </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=A.%20Anbu%20Raj">A. Anbu Raj</a>, <a href="https://publications.waset.org/abstracts/search?q=V.%20Mugendiren"> V. Mugendiren</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Sheet metal forming is a vital manufacturing process used in automobile, aerospace, agricultural industries, etc. Incremental forming is a promising process providing a short and inexpensive way of forming complex three-dimensional parts without using die. The aim of this research is to study the forming behaviour of AA 5052, Aluminium Alloy, using incremental forming and also to study the FLD of cone shape AA 5052 Aluminium Alloy at room temperature and various annealing temperature. Initially the surface roughness and wall thickness through incremental forming on AA 5052 Aluminium Alloy sheet at room temperature is optimized by controlling the effects of forming parameters. The central composite design (CCD) was utilized to plan the experiment. The step depth, feed rate, and spindle speed were considered as input parameters in this study. The surface roughness and wall thickness were used as output response. The process performances such as average thickness and surface roughness were evaluated. The optimized results are taken for minimum surface roughness and maximum wall thickness. The optimal results are determined based on response surface methodology and the analysis of variance. Formability Limit Diagram is constructed on AA 5052 Aluminium Alloy at room temperature and various annealing temperature by using optimized process parameters from the response surface methodology. The cone has higher formability than the square pyramid and higher wall thickness distribution. Finally the FLD on cone shape and square pyramid shape at room temperature and the various annealing temperature is compared experimentally and simulated with Abaqus software. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=incremental%20forming" title="incremental forming">incremental forming</a>, <a href="https://publications.waset.org/abstracts/search?q=response%20surface%20methodology" title=" response surface methodology"> response surface methodology</a>, <a href="https://publications.waset.org/abstracts/search?q=optimization" title=" optimization"> optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=wall%20thickness" title=" wall thickness"> wall thickness</a>, <a href="https://publications.waset.org/abstracts/search?q=surface%20roughness" title=" surface roughness"> surface roughness</a> </p> <a href="https://publications.waset.org/abstracts/66474/evaluation-of-forming-properties-on-aa-5052-aluminium-alloy-by-incremental-forming" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/66474.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">338</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">27279</span> Appraisal of the Impact Strength on Mild Steel Cladding Weld Metal Geometry </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Chukwuemeka%20Daniel%20Ezeliora">Chukwuemeka Daniel Ezeliora</a>, <a href="https://publications.waset.org/abstracts/search?q=Chukwuebuka%20Lawrence%20Ezeliora"> Chukwuebuka Lawrence Ezeliora</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The research focused on the appraisal of impact strength on mild steel cladding weld metal geometry. Over the years, poor welding has resulted in failures in engineering components, poor material quality, the collapse of welded materials, and failures in material strength. This is as a result of poor selection and combination of welding input process parameters. The application of the Tungsten Inert Gas (TIG) welding method with weld specimen of length 60; width 40, and thickness of 10 was used for the experiment. A butt joint method was prepared for the welding, and tungsten inert gas welding process was used to perform the twenty (20) experimental runs. A response surface methodology was used to model and to analyze the system. For an adequate polynomial approximation, the experimental design was used to collect the data. The key parameters considered in this work are welding current, gas flow rate, welding speed, and voltage. The range of the input process parameters was selected from the literature and the design. The steps followed to achieve the experimental design and results is the use of response surface method (RSM) implemented in central composite design (CCD) to generate the design matrix, to obtain quadratic model, and evaluate the interactions in the factors as well as optimizing the factors and the response. The result expresses that the best impact strength of the mild steel cladding weld metal geometry is 115.419 Joules. However, it was observed that the result of the input factors is; current 180.4 amp, voltage 23.99 volt, welding speed 142.7 mm.s and gas flow rate 10.8 lit/min as the optimum of the input process parameters. The optimal solution gives a guide for optimal impact strength of the weldment when welding with tungsten inert gas (TIG) under study. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=mild%20steel" title="mild steel">mild steel</a>, <a href="https://publications.waset.org/abstracts/search?q=impact%20strength" title=" impact strength"> impact strength</a>, <a href="https://publications.waset.org/abstracts/search?q=response%20surface" title=" response surface"> response surface</a>, <a href="https://publications.waset.org/abstracts/search?q=bead%20geometry" title=" bead geometry"> bead geometry</a>, <a href="https://publications.waset.org/abstracts/search?q=welding" title=" welding"> welding</a> </p> <a href="https://publications.waset.org/abstracts/121742/appraisal-of-the-impact-strength-on-mild-steel-cladding-weld-metal-geometry" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/121742.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">119</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">27278</span> Optimization of Surface Roughness by Taguchi’s Method for Turning Process</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ashish%20Ankus%20Yerunkar">Ashish Ankus Yerunkar</a>, <a href="https://publications.waset.org/abstracts/search?q=Ravi%20Terkar"> Ravi Terkar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Study aimed at evaluating the best process environment which could simultaneously satisfy requirements of both quality as well as productivity with special emphasis on reduction of cutting tool flank wear, because reduction in flank wear ensures increase in tool life. The predicted optimal setting ensured minimization of surface roughness. Purpose of this paper is focused on the analysis of optimum cutting conditions to get lowest surface roughness in turning SCM 440 alloy steel by Taguchi method. Design for the experiment was done using Taguchi method and 18 experiments were designed by this process and experiments conducted. The results are analyzed using ANOVA method. Taguchi method has depicted that the depth of cut has significant role to play in producing lower surface roughness followed by feed. The Cutting speed has lesser role on surface roughness from the tests. The vibrations of the machine tool, tool chattering are the other factors which may contribute poor surface roughness to the results and such factors ignored for analyses. The inferences by this method will be useful to other researches for similar type of study and may be vital for further research on tool vibrations, cutting forces etc. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=surface%20roughness%20%28ra%29" title="surface roughness (ra)">surface roughness (ra)</a>, <a href="https://publications.waset.org/abstracts/search?q=machining" title=" machining"> machining</a>, <a href="https://publications.waset.org/abstracts/search?q=dry%20turning" title=" dry turning"> dry turning</a>, <a href="https://publications.waset.org/abstracts/search?q=taguchi%20method" title=" taguchi method"> taguchi method</a>, <a href="https://publications.waset.org/abstracts/search?q=turning%20process" title=" turning process"> turning process</a>, <a href="https://publications.waset.org/abstracts/search?q=anova%20method" title=" anova method"> anova method</a>, <a href="https://publications.waset.org/abstracts/search?q=mahr%20perthometer" title=" mahr perthometer"> mahr perthometer</a> </p> <a href="https://publications.waset.org/abstracts/30598/optimization-of-surface-roughness-by-taguchis-method-for-turning-process" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/30598.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">367</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">27277</span> PPB-Level H₂ Gas-Sensor Based on Porous Ni-MOF Derived NiO@CuO Nanoflowers for Superior Sensing Performance</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Shah%20Sufaid">Shah Sufaid</a>, <a href="https://publications.waset.org/abstracts/search?q=Hussain%20Shahid"> Hussain Shahid</a>, <a href="https://publications.waset.org/abstracts/search?q=Tianyan%20You"> Tianyan You</a>, <a href="https://publications.waset.org/abstracts/search?q=Liu%20Guiwu"> Liu Guiwu</a>, <a href="https://publications.waset.org/abstracts/search?q=Qiao%20Guanjun"> Qiao Guanjun</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Nickel oxide (NiO) is an optimal material for precise detection of hydrogen (H₂) gas due to its high catalytic activity and low resistivity. However, the gas response kinetics of H₂ gas molecules with the surface of NiO concurrence limitation imposed by its solid structure, leading to a diminished gas response value and slow electron-hole transport. Herein, NiO@CuO NFs with porous sharp-tip and nanospheres morphology were successfully synthesized by using a metal-organic framework (MOFs) as a precursor. The fabricated porous 2 wt% NiO@CuO NFs present outstanding selectivity towards H₂ gas, including a high sensitivity of a response value (170 to 20 ppm at 150 °C) higher than that of porous Ni-MOF (6), low detection limit (300 ppb) with a notable response (21), short response and recovery times at (300 ppb, 40/63 s and 20 ppm, 100/167 s), exceptional long-term stability and repeatability. Furthermore, an understanding of NiO@CuO sensor functioning in an actual environment has been obtained by using the impact of relative humidity as well. The boosted hydrogen sensing properties may be attributed due to synergistic effects of numerous facts including p-p heterojunction at the interface between NiO and CuO nanoflowers. Particularly, a porous Ni-MOF structure combined with the chemical sensitization effect of NiO with the rough surface of CuO nanosphere, are examined. This research presents an effective method for development of Ni-MOF derived metal oxide semiconductor (MOS) heterostructures with rigorous morphology and composition, suitable for gas sensing application. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=NiO%40CuO%20NFs" title="NiO@CuO NFs">NiO@CuO NFs</a>, <a href="https://publications.waset.org/abstracts/search?q=metal%20organic%20framework" title=" metal organic framework"> metal organic framework</a>, <a href="https://publications.waset.org/abstracts/search?q=porous%20structure" title=" porous structure"> porous structure</a>, <a href="https://publications.waset.org/abstracts/search?q=H%E2%82%82" title=" H₂"> H₂</a>, <a href="https://publications.waset.org/abstracts/search?q=gas%20sensing" title=" gas sensing"> gas sensing</a> </p> <a href="https://publications.waset.org/abstracts/186504/ppb-level-h2-gas-sensor-based-on-porous-ni-mof-derived-nio-at-cuo-nanoflowers-for-superior-sensing-performance" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/186504.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">45</span> </span> </div> </div> <ul class="pagination"> <li class="page-item disabled"><span class="page-link">&lsaquo;</span></li> <li class="page-item active"><span class="page-link">1</span></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=response%20surface%20method&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=response%20surface%20method&page=3">3</a></li> <li class="page-item"><a class="page-link" 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