Semantic Scholar Open Access 2018 250 sitasi

Modern Electrical Machine Design Optimization: Techniques, Trends, and Best Practices

G. Bramerdorfer J. Tapia J. Pyrhönen A. Cavagnino

Abstrak

Disruptive innovations in electrical machine design optimization are observed in this paper, motivated by emerging trends. Improvements in mathematics and computer science enable more detailed optimization scenarios that cover evermore aspects of physics. In the past, electrical machine design was equivalent to investigating the electromagnetic performance. Nowadays, thermal, rotor dynamics, power electronics, and control aspects are included. The material and engineering science have introduced new dimensions on the optimization process and impact of manufacturing, and unavoidable tolerances should be considered. Consequently, multifaceted scenarios are analyzed and improvements in numerous fields take effect. This paper is a reference for both academics and practicing engineers regarding recent developments and future trends. It comprises the definition of optimization scenarios regarding geometry specification and goal setting. Moreover, a materials-based perspective and techniques for solving optimization problems are included. Finally, a collection of examples from the literature is presented and two particular scenarios are illustrated in detail.

Topik & Kata Kunci

Penulis (4)

G

G. Bramerdorfer

J

J. Tapia

J

J. Pyrhönen

A

A. Cavagnino

Format Sitasi

Bramerdorfer, G., Tapia, J., Pyrhönen, J., Cavagnino, A. (2018). Modern Electrical Machine Design Optimization: Techniques, Trends, and Best Practices. https://doi.org/10.1109/TIE.2018.2801805

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Informasi Jurnal
Tahun Terbit
2018
Bahasa
en
Total Sitasi
250×
Sumber Database
Semantic Scholar
DOI
10.1109/TIE.2018.2801805
Akses
Open Access ✓