STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, vol.37, no.6, pp.635-644, 2009 (SCI-Expanded)
This paper describes the design optimization of a flat-faced disk type of an electromagnet. In order to minimize volume and power dissipation, expressions for consumed power, magnetic attraction force, coil temperature and magnet volume have been obtained, depending on the dimensions. The sequential quadratic programming (SQP) method has been employed to solve the nonlinear optimization problem, and the different optimum solutions have been obtained to emphasize the significance of alterations in the temperature and power consumption. It has been showed that volume minimization has been improved about 25% compared to direct computation and, by the minimisation of power consumption, static characteristic of the magnet has been improved about 20%.