Abstract
A tool for solving a nonlinear optimization problem by means of sequential quadratic programming (SQP) and finite element method (FEM) is presented. In this paper both the electromagnetic and mechanical design objectives are considered when optimizing the volume of a 0.2 MJ conduction cooled Nb/sub 3/Sn superconducting magnetic energy storage (SMES) magnet, which is under construction at Tampere University of Technology. The results show that the combination of SQP and FEM provides a useful computational tool for the design of the superconducting applications.
Full Text 
Sign-in/Register to access full text options
Sign-in/Register to access full text options 
Published version (
Free)
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
