Master’s Thesis: Development and Experimental Validation of Lumped-Parameter Thermal Network Models for Electric Motors.
On-site
Core
Develop and experimentally validate lumped-parameter thermal network (LPTN) models for electric motors to predict temperatures under various operating conditions.
Role type
Master's Thesis Researcher (Thermal Modeling)
Builds
Simplified thermal models for electric motor design iterations
Domain
Water technology / Electric motor thermal management
Required skills
Python, thermal modeling, experimental validation, data analysis
Preferred skills
Creo, motor geometry exploration
Technologies
Python, Creo
Responsibilities
Build thermal networks capturing heat sources and transfer paths, parameterize models using motor data and measurements, assess accuracy via steady-state temperature comparisons, conduct experimental verification at test facility
Seniority
Master's Thesis Candidate
