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Optimum design of Maglev lift system's electromagnet for weight reduction using response surface methodology

Optimum design of Maglev lift system's electromagnet for weight reduction using response surface... Purpose – This paper aims to discuss the optimum design of a Maglev lift system's electromagnet to reduce the weight of the machine with constraint of normal force using response surface methodology (RSM). Design/methodology/approach – The optimum design of Maglev lift system's electromagnet for weight reduction is performed by using RSM. The magnetostatic analysis of Maglev lift system's electromagnet is performed by using ANSYS. Findings – The process is based on minimization of an appropriate objective function, while at each step the response is determined by the 3D finite element method (FEM). Research limitations/implications – It is necessary to compare normal force between the 3D FEM result and the experimental result of the manufactured model. Originality/value – The paper deals with the possibility of using the RSM for optimization of an electromagnet with a higher number of the design variables. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering Emerald Publishing

Optimum design of Maglev lift system's electromagnet for weight reduction using response surface methodology

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References (9)

Publisher
Emerald Publishing
Copyright
Copyright © 2008 Emerald Group Publishing Limited. All rights reserved.
ISSN
0332-1649
DOI
10.1108/03321640810878207
Publisher site
See Article on Publisher Site

Abstract

Purpose – This paper aims to discuss the optimum design of a Maglev lift system's electromagnet to reduce the weight of the machine with constraint of normal force using response surface methodology (RSM). Design/methodology/approach – The optimum design of Maglev lift system's electromagnet for weight reduction is performed by using RSM. The magnetostatic analysis of Maglev lift system's electromagnet is performed by using ANSYS. Findings – The process is based on minimization of an appropriate objective function, while at each step the response is determined by the 3D finite element method (FEM). Research limitations/implications – It is necessary to compare normal force between the 3D FEM result and the experimental result of the manufactured model. Originality/value – The paper deals with the possibility of using the RSM for optimization of an electromagnet with a higher number of the design variables.

Journal

COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic EngineeringEmerald Publishing

Published: Jul 11, 2008

Keywords: Finite element analysis; Optimization techniques; Electromagnetism

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