Skip Navigation
Search
Back to Search Innovations
Topology Optimization of Electric Machines
Spatially optimizes the distribution of material of permanent magnets for power generators
sabnaluck, https://stock.adobe.com/uk/66550467, stock.adobe.com

Background

The widespread adoption of renewable energy and the electrification of transportation has led to an increased need for rare earth materials. The proposed technology aims to mitigate this dependency by strategically optimizing product design elements, including the geometry of permanent magnets, irons, and other electrical system parameters. Through systematic co-optimization, researchers at Stony Brook University (SBU) ensure an optimal design at the system level, thereby reducing reliance on rare-earth metals.

Technology

Researchers at SBU have introduced an innovative approach to lessen reliance on rare-earth materials through the application of topology optimization in electric machine design. Topology optimization, a mathematical technique, optimizes material distribution within a defined design space. In this case, this method is employed on permanent magnets utilized in power generators, effectively reducing material usage while maintaining optimal performance. This methodology is grounded in a level-set-based parametric approach, enabling seamless integration with model-based co-design tools. Through this comprehensive approach, they achieve functional optimization at both the component and system levels of electric machine design.

Advantages

Reduce dependence on expensive rare‑earth materials - Generate innovative designs

Application

Integrates topology optimization with model‑based co‑design tools - Handles multi‑physics and multi‑material magnet topology optimization problems

Inventors

Shikui Chen, Associate Professor, Mechanical Engineering
Jiawei Tian, Ph.D. Candidate, Mechanical Engineering
Fang Luo, Associate Professor, Electrical Engineering
Jon Longtin, Associate Professor, Mechanical Engineering
Xianfeng Gu, Assistant Professor, Computer Science

Licensing Potential

Development partner - Commercial partner - Licensing

Licensing Contact

Donna Tumminello, Assistant Director, Intellectual Property Partners, donna.tumminello@stonybrook.edu, 6316324163

Patent Status

No patent

Tech Id

050-9329