CAREER: High-Resolution Lumped Parameter Network Multiphysics Models for Electric Machine Topology Optimization

NSF Award Search · 01002526DB NSF RESEARCH & RELATED ACTIVIT · $500,945 · view on nsf.gov ↗

Abstract

Electric machines are critical to society, converting power between electricity and motion. However, innovations in electric machines are necessary to reduce costs, increase efficiency, and improve their capabilities for challenging applications, such as space exploration. Therefore, this project will develop and integrate fast, flexible, and accurate electromagnetic, structural, and thermal equivalent circuit models of electric machines. These models will be tailored for topology optimization (TO), which yields novel shapes that would not result from conventional optimization. Previously, TO has only been applied to portions of electric machines and has not considered electromagnetic, structural, and thermal performance simultaneously. However, the speed, flexibility, and accuracy of the developed models will enable TO of entire electric machines considering electromagnetic, structural, and thermal performance simultaneously. The resulting new designs will reduce costs and losses for existing applications and enable the use of electric machines in new applications. Other broader impacts of the project include research opportunities for high school, undergraduate, and graduate students and the development of assignment modules teaching students to combine coding and discipline-specific knowledge to develop models for solving engineering problems; these assignment modules will be designed to be incorporated into various engineering classes. This project will develo

Key facts

NSF award ID
2440024
Awardee
University of Texas at Dallas (TX)
SAM.gov UEI
EJCVPNN1WFS5
PI
Matthew Gardner
Primary program
01002526DB NSF RESEARCH & RELATED ACTIVIT
All programs
OPTIMIZATION & DECISION MAKING, CAREER-Faculty Erly Career Dev, Energy efficient electronics, ENERGY CONVERSION
Estimated total
$500,945
Funds obligated
$500,945
Transaction type
Standard Grant
Period
10/01/2025 → 09/30/2030