Multi-objective free-form shape optimization of a synchronous reluctance machine

Purpose This paper aims to deal with the design optimization of a synchronous reluctance machine be used in an X-ray tube, where goal is maximize torque while keeping low amount material used, by means gradient-based free-form shape optimization. Design/methodology/approach The presented approach based on mathematical concept derivatives and allows obtain new motor designs without need introduce geometric parametrization. presents extension standard algorithm case multiple objective functions determining updates, which represent descent all involved criteria. Moreover, this illustrates way approximate Pareto front. Findings method optimal arbitrary, non-parametric very computational cost. validates results comparing them parametric geometry JMAG stochastic algorithm. While obtained are similar shape, time order minutes, compared several hours taken Originality/value applies multi-objective context using derivatives. authors set Pareto-optimal designs, each that not represented fixed parameters. To best authors’ knowledge, novel electric machines.