Generative deep learning approaches for automated gearbox housing design of battery electric vehicles

Institut
Lehrstuhl für Maschinenelemente
Typ
Semesterarbeit / Masterarbeit /
Inhalt
theoretisch / konstruktiv /  
Beschreibung

Motivation:
At the Institute of Machine Elements we do research on drive systems and components. Therefore, we are interested in technologies in drive system development and are about to integrate latest artificial intelligence methods in the process of development and design.

Your task:
The goal of this project is to develop, implement and evaluate generative deep learning approaches that help automating the design of gearbox housings of battery electric vehicles. As part of your work you need to consider diverse requirements like loads, bearings support, manufacturability or oil-tightness. Subsequently, you will implement chosen strategies and evaluate them in the context of automated design.

Voraussetzungen
  • Highly interested in AI-methods generative design
  • Advanced coding skills
  • Strong math skills and knowledge of graph theory
  • Highly motivated and responsible
  • Fluent in English or German
Möglicher Beginn
sofort
Kontakt
M.Sc. Stefan Sendlbeck
Raum: MW 2513
Tel.: +49 89 289 15876
stefan.sendlbecktum.de
Ausschreibung