2018
DOI: 10.1109/tie.2017.2748046
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Application-Oriented Robust Design Optimization Method for Batch Production of Permanent-Magnet Motors

et al.

Abstract: Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. 1 Abstract-From the perspective of industrial production, the design and optimization of electrical machines are application oriented, including maximizing production quality and minimizi… Show more

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Cited by 73 publications
(48 citation statements)
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“…It will also enable the designers to develop production cost models of electrical machines. Currently, estimation of production cost is a big challenge for electrical machines [116][117][118]. Integrated product and process development method can be employed to address this challenge [118,119].…”
Section: A Suggestions For Development Of Robust Design Optimization mentioning
confidence: 99%
“…It will also enable the designers to develop production cost models of electrical machines. Currently, estimation of production cost is a big challenge for electrical machines [116][117][118]. Integrated product and process development method can be employed to address this challenge [118,119].…”
Section: A Suggestions For Development Of Robust Design Optimization mentioning
confidence: 99%
“…The manufacturing process of SMC cores can be totally different from those cores made of steel sheets. Taking advantage of the powder metallurgy technology, the SMC cores can be produced by molding technology [1,[7][8][9]. This kind of technology can be used to produce SMC cores with complex structures that may be hard or even impossible to manufacture by the traditional lamination method [10].…”
Section: Introductionmentioning
confidence: 99%
“…High-performance NdFeB magnets have been used in many PM-SMC motors, such as transverse flux machine and axial flux motor to achieve good performance [1][2][3][4][5][6][7][8][9]11]. However, they are very expensive.…”
Section: Introductionmentioning
confidence: 99%
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“…To reduce the computational time and the cost as well, the optimization algorithms, such as genetic algorithm [24], particle swarm optimization algorithm [25] and difference evolution algorithm [26], have been presented. Recently, many alternatives such as surrogate-assisted model [27] which emulates the behavior of the real machine performance, is less accurate but much faster, have also been emerged to improve the optimization efficiency of electrical machines, especially for those machines with 3-D flux topologies which requires 3-D FEM, such as the transverse and axial flux as well as claw pole machine. The characteristics of several optimization design models, methods and strategies for electrical machine are summarized and analyzed in [28].…”
mentioning
confidence: 99%