témavezető: Orosz Tamás
helyszín (magyar oldal): Széchenyi István Egyetem helyszín rövidítés: SZE
A kutatási téma leírása:
Considering the manufacturing uncertainties from the beginning of a design process has a substantial computational burden. There are many designs of experiments and artificial intelligence tools used in the literature to reduce the computational demand of the problem. However, these methods usually significantly underestimate the tolerances' impact. The research aims to examine the available novel discretization schemas, model order reduction techniques, and artificial intelligence tools. Then apply these methodologies to electrical machine optimization problems.