ODT - THESIS TOPIC: Tamás Orosz: Acceleration FEM-based robust design ...


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Thesis topic proposal

Acceleration FEM-based robust design optimization with artificial intelligence

THESIS TOPIC PROPOSAL

Institute: Széchenyi István University, Győr
computer sciences
Multidisciplinary Doctoral School of Engineering Sciences

Thesis supervisor: Tamás Orosz
Location of studies (in Hungarian): Széchenyi István University
Abbreviation of location of studies: SZE

Description of the research topic:

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.

Number of students who can be accepted: 1

Deadline for application: 2023-05-31

2024. IV. 17.
ODT ülés
Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).