Shape Optimization of PM Devices using Constrained Gradient Based Inverse Problem Methodology

Authors

Abd A. Arkadan, Marquette UniversityFollow
Srisivane Subramaniam-Sivanesan, Marquette University
Nabeel Demerdash, Marquette UniversityFollow

Document Type

Article

Language

eng

Format of Original

4 p.

Publication Date

5-1996

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Source Publication

IEEE Transactions on Magnetics

Source ISSN

0018-9464

Abstract

Permanent magnets (PMs) are widely used in a variety of industrial equipment and devices. In magnet design, the shape of a PM plays an important role and minimization of the leakage flux improves the performance of the device. The shape optimization of PM devices using gradient based inverse problem methodology (GIPM) is presented. The paper describes for the first time the use of analytical sensitivities for shape optimization of PM devices. Furthermore, the adjoint method of the direct differentiation approach is used for the computation of the sensitivities of the object function. Two case studies are presented. The first involves a magnetic circuit with an air gap and PM excitation, the second is that of a PM pole face. In both cases, design optimization is employed to obtain a desired flux density profile in the air gap with a minimum leakage flux and minimum size of the PM material.

Comments

IEEE Transactions on Magnetics, Vol. 32, No. 3 (May 1996): 1222-1225. DOI.

Recommended Citation

Arkadan, Abd A.; Subramaniam-Sivanesan, Srisivane; and Demerdash, Nabeel, "Shape Optimization of PM Devices using Constrained Gradient Based Inverse Problem Methodology" (1996). Electrical and Computer Engineering Faculty Research and Publications. 174.
https://epublications.marquette.edu/electric_fac/174