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Multi-objective free-form shape optimization of a synchronous reluctance machine
- Publication Year :
- 2020
-
Abstract
- This paper deals with the design optimization of a synchronous reluctance machine to be used in an X-ray tube, where the goal is to maximize the torque, by means of gradient-based free-form shape optimization. The presented approach is based on the mathematical concept of shape derivatives and allows to obtain new motor designs without the need to introduce a geometric parametrization. We validate our results by comparing them to a parametric geometry optimization in JMAG by means of a stochastic optimization algorithm. While the obtained designs are of similar shape, the computational time used by the gradient-based algorithm is in the order of minutes, compared to several hours taken by the stochastic optimization algorithm. Finally, we show an extension of the free-form shape optimization algorithm to the case of multiple objective functions and illustrate a way to obtain an approximate Pareto front.<br />Comment: 6 pages, 7 figures, proceedings to IGTE Symposium Graz 2020
Details
- Database :
- arXiv
- Publication Type :
- Report
- Accession number :
- edsarx.2010.10117
- Document Type :
- Working Paper