主题：Some Ideas Regarding AI in Electronics Cooling
时间：2025年3月17日15：00-16：30
地点：四教127
主持人：曹九稳教授
报告人简介：
Dr. Walter Angelis
Major: Technische Universität München (TUM), Mechanical Engineering MSC Engineering
Doctorate: Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) Aerodynamics (PhD)
Professorship: LiXing Chair Professor at Hangzhou Dianzi University
Talent Program: Acceptance for the Kunpeng Talent Program (Zhejiang Province)
Work experience:
ATB / Wolong: Chief Scientist with support on EC-ventilation and EC-motor development
ZIEHL-ABEGG SE: Director / Head of Technics (Division Ventilation Technology)
Bosch and Siemens Household Appliance GmbH (BSH): Head of Refrigeration Cycle Development ebm-papst St. Georgen GmbH: Head of Research & Development Aerodynamics / Simulation
Valeo Klimasysteme GmbH: Head or Aeroacoustics for Automobile Heating and Air Conditioning Systems
Extra-occupational Activities: Lecturer on Electronics Cooling at Johannes Kepler Universität Linz, Examiner of mechanical engineering an DHBW University Mosbach, Representative of ZIEHL-ABEGG at AMCA association and in mirror committee at NAM/DIN, Representative of ZIEHL-ABEGG at DIN committee for ISO 12759 standardization family
报告摘要：Electronics cooling is one of the key parameters for the performance of electric motors. The better the motor is cooled, the more power it can deliver. The challenges faced in the past have led to motor cooling being improved through certain measures such as optimized cooling fins, adapted motor airflow and improved thermal heat transfer. However, the individual measures often contradict each other. The improvement of one parameter leads to a deterioration of another. So how can AI help to find the optimum configuration for the respective geometry from a large number of influencing parameters without losing sight of the overall goal of optimization? Ideas for this will be discussed in this report.