A tool for solving a non-linear 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 Nb3Sn
Superconducting Magnetic Energy Storage (SMES) magnet, which is under const
ruction at Tampere University of Technology. The results show that the comb
ination of SQP and FEM provides an useful computational tool for the design
of the superconducting applications.