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<form method="get" action="https://publications.waset.org/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="two-way."> <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> 2</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: two-way.</h1> <div class="card publication-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2</span> Classification of Initial Stripe Height Patterns using Radial Basis Function Neural Network for Proportional Gain Prediction</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/search?q=Prasit%20Wonglersak">Prasit Wonglersak</a>, <a href="https://publications.waset.org/search?q=Prakarnkiat%20Youngkong"> Prakarnkiat Youngkong</a>, <a href="https://publications.waset.org/search?q=Ittipon%20Cheowanish"> Ittipon Cheowanish</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper aims to improve a fine lapping process of hard disk drive (HDD) lapping machines by removing materials from each slider together with controlling the strip height (SH) variation to minimum value. The standard deviation is the key parameter to evaluate the strip height variation, hence it is minimized. In this paper, a design of experiment (DOE) with factorial analysis by twoway analysis of variance (ANOVA) is adopted to obtain a statistically information. The statistics results reveal that initial stripe height patterns affect the final SH variation. Therefore, initial SH classification using a radial basis function neural network is implemented to achieve the proportional gain prediction. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=Stripe%20height%20variation" title="Stripe height variation">Stripe height variation</a>, <a href="https://publications.waset.org/search?q=Two-way%20analysis%20ofvariance%20%28ANOVA%29" title=" Two-way analysis ofvariance (ANOVA)"> Two-way analysis ofvariance (ANOVA)</a>, <a href="https://publications.waset.org/search?q=Radial%20basis%20function%20neural%20network" title=" Radial basis function neural network"> Radial basis function neural network</a>, <a href="https://publications.waset.org/search?q=Proportional%20gain%20prediction." title="Proportional gain prediction.">Proportional gain prediction.</a> </p> <a href="https://publications.waset.org/12622/classification-of-initial-stripe-height-patterns-using-radial-basis-function-neural-network-for-proportional-gain-prediction" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/12622/apa" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">APA</a> <a href="https://publications.waset.org/12622/bibtex" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">BibTeX</a> <a href="https://publications.waset.org/12622/chicago" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Chicago</a> <a href="https://publications.waset.org/12622/endnote" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">EndNote</a> <a href="https://publications.waset.org/12622/harvard" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Harvard</a> <a href="https://publications.waset.org/12622/json" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">JSON</a> <a href="https://publications.waset.org/12622/mla" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">MLA</a> <a href="https://publications.waset.org/12622/ris" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">RIS</a> <a href="https://publications.waset.org/12622/xml" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">XML</a> <a href="https://publications.waset.org/12622/iso690" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">ISO 690</a> <a href="https://publications.waset.org/12622.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">1647</span> </span> </div> </div> <div class="card publication-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1</span> Three Dimensional Large Eddy Simulation of Blood Flow and Deformation in an Elastic Constricted Artery</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/search?q=Xi%20Gu">Xi Gu</a>, <a href="https://publications.waset.org/search?q=Guan%20Heng%20Yeoh"> Guan Heng Yeoh</a>, <a href="https://publications.waset.org/search?q=Victoria%20Timchenko"> Victoria Timchenko</a> </p> <p class="card-text"><strong>Abstract:</strong></p> <p>In the current work, a three-dimensional geometry of a 75% stenosed blood vessel is analyzed. Large eddy simulation (LES) with the help of a dynamic subgrid scale Smagorinsky model is applied to model the turbulent pulsatile flow. The geometry, the transmural pressure and the properties of the blood and the elastic boundary were based on clinical measurement data. For the flexible wall model, a thin solid region is constructed around the 75% stenosed blood vessel. The deformation of this solid region was modelled as a deforming boundary to reduce the computational cost of the solid model. Fluid-structure interaction is realized via a twoway coupling between the blood flow modelled via LES and the deforming vessel. The information of the flow pressure and the wall motion was exchanged continually during the cycle by an arbitrary Lagrangian-Eulerian method. The boundary condition of current time step depended on previous solutions. The fluctuation of the velocity in the post-stenotic region was analyzed in the study. The axial velocity at normalized position Z=0.5 shows a negative value near the vessel wall. The displacement of the elastic boundary was concerned in this study. In particular, the wall displacement at the systole and the diastole were compared. The negative displacement at the stenosis indicates a collapse at the maximum velocity and the deceleration phase.</p> <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=Large%20Eddy%20Simulation" title="Large Eddy Simulation">Large Eddy Simulation</a>, <a href="https://publications.waset.org/search?q=Fluid%20Structural%20Interaction" title=" Fluid Structural Interaction"> Fluid Structural Interaction</a>, <a href="https://publications.waset.org/search?q=Constricted%20Artery" title=" Constricted Artery"> Constricted Artery</a>, <a href="https://publications.waset.org/search?q=Computational%20Fluid%20Dynamics." title=" Computational Fluid Dynamics."> Computational Fluid Dynamics.</a> </p> <a href="https://publications.waset.org/10001189/three-dimensional-large-eddy-simulation-of-blood-flow-and-deformation-in-an-elastic-constricted-artery" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/10001189/apa" 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