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Axial Flux Permanent Magnet Motor Design and Optimization by Using Artificial Neural Networks
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/></div></noscript> <!-- /Yandex.Metrika counter --> <!-- Matomo --> <!-- End Matomo Code --> <title>Axial Flux Permanent Magnet Motor Design and Optimization by Using Artificial Neural Networks</title> <meta name="description" content="Axial Flux Permanent Magnet Motor Design and Optimization by Using Artificial Neural Networks"> <meta name="keywords" content="AFPM, ANSYS Maxwell, cogging torque, design optimisation, efficiency, NNTOOL"> <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 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class="card"> <div class="card-body"><strong>Paper Count:</strong> 87351</div> </div> </div> </div> <div class="card publication-listing mt-3 mb-3"> <h5 class="card-header" style="font-size:.9rem">Axial Flux Permanent Magnet Motor Design and Optimization by Using Artificial Neural Networks</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tugce%20Talay">Tugce Talay</a>, <a href="https://publications.waset.org/abstracts/search?q=Kadir%20Erkan"> Kadir Erkan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this study, the necessary steps for the design of axial flow permanent magnet motors are shown. The design and analysis of the engine were carried out based on ANSYS Maxwell program. The design parameters of the ANSYS Maxwell program and the artificial neural network system were established in MATLAB and the most efficient design parameters were found with the trained neural network. The results of the Maxwell program and the results of the artificial neural networks are compared and optimal working design parameters are found. The most efficient design parameters were submitted to the ANSYS Maxwell 3D design and the cogging torque was examined and design studies were carried out to reduce the cogging torque. <iframe src="https://publications.waset.org/abstracts/107516.pdf" style="width:100%; height:400px;" frameborder="0"></iframe> <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=AFPM" title="AFPM">AFPM</a>, <a href="https://publications.waset.org/abstracts/search?q=ANSYS%20Maxwell" title=" ANSYS Maxwell"> ANSYS Maxwell</a>, <a href="https://publications.waset.org/abstracts/search?q=cogging%20torque" title=" cogging torque"> cogging torque</a>, <a href="https://publications.waset.org/abstracts/search?q=design%20optimisation" title=" design optimisation"> design optimisation</a>, <a href="https://publications.waset.org/abstracts/search?q=efficiency" title=" efficiency"> efficiency</a>, <a href="https://publications.waset.org/abstracts/search?q=NNTOOL" title=" NNTOOL"> NNTOOL</a> </p> <a href="https://publications.waset.org/abstracts/107516/axial-flux-permanent-magnet-motor-design-and-optimization-by-using-artificial-neural-networks" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/107516.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">219</span> </span> </div> </div> </div> </main> <footer> <div id="infolinks" class="pt-3 pb-2"> <div class="container"> <div style="background-color:#f5f5f5;" class="p-3"> <div class="row"> <div class="col-md-2"> <ul class="list-unstyled"> About <li><a href="https://waset.org/page/support">About Us</a></li> <li><a href="https://waset.org/page/support#legal-information">Legal</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/WASET-16th-foundational-anniversary.pdf">WASET celebrates its 16th 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