Project Grant 2213852
- The National Science Foundation (NSF) Engineering Program awarded The Trustees of Princeton University's Office of Research and Project Administration a $338,926 Project Grant to conduct fundamental research on modeling and designing complex power magnetic components for electrical power converters. The goals are to develop systematic methods for modeling and designing multi-winding power magnetics, create software tools for optimal power magnetic design, and demonstrate the effectiveness of the...
- This $500,945 Project Grant awarded by the National Science Foundation (NSF) Engineering program (CFDA 47.041) will support the development and integration of fast, flexible, and accurate electromagnetic, structural, and thermal equivalent circuit models of electric machines. The models will be tailored for topology optimization, enabling novel machine designs that can reduce costs and losses for existing applications and enable the use of electric machines in new applications. This project will...
- The National Science Foundation (NSF) Engineering program (CFDA 47.041) awarded a $290,477 Project Grant to Tennessee Technological University to conduct collaborative research on a new class of electric machines called mixed-pole, multi-phase synchronous reluctance machines. The research aims to develop efficient, flexible, and scalable motor control systems that can reduce dependence on rare-earth magnets, which are critical materials vulnerable to global supply chain disruptions. The...
- This National Science Foundation (NSF) Project Grant award to New York University (NYU) under the Computer and Information Science and Engineering program (CFDA 47.070) aims to develop an advanced software tool that automates the design and optimization of electromagnetic (EM) systems, with a focus on improving the performance of magnetic resonance imaging (MRI) devices. The $1,164,641 award, effective from August 1, 2023 to July 31, 2026, will create a software pipeline that combines geometry...
- The National Science Foundation (NSF) Directorate for Engineering has awarded The Research Foundation for the State University of New York (RF-SUNY) a $240,497 Project Grant under the Engineering program (CFDA 47.041) to develop data-driven digital twin models for solid-state transformers (SSTs) to improve their reliability. The key objectives of this 3-year project are to: 1) develop online health monitoring and diagnostics capabilities to predict and prevent failures of SST components,...
- This $296,743 federal Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) supports collaborative research by Baylor University to develop a new class of electric motors called mixed-pole, multiphase synchronous reluctance machines. The research aims to create high-performance electric motor systems that can operate without the use of rare-earth magnets, addressing supply chain vulnerabilities and reducing dependence on critical materials. The...
- This National Science Foundation Project Grant of $157,420 awarded in October 2022 under the Engineering (47.041) program will fund research to develop new algorithms for the automated computational design of compound machines containing multiple moving parts. Specifically, the principal investigator at Georgia Tech will create topology optimization frameworks to simultaneously design internal topologies of planar domains and optimize their connectivity to form multibody mechanisms. Finite...
- This three-year, $498,773 Project Grant from the National Science Foundation's Engineering program (CFDA 47.041) supports research to bridge locally stress-constrained topology optimization and additive manufacturing. Principal Investigator Princeton University will conduct research to develop unified stress-constrained topology optimization approaches that accommodate infinite load cases and spatially varying material properties. It will also validate optimized multi-material and...
- This Project Grant award from the National Science Foundation (NSF) under the NSF Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) provides $550,000 to develop electric motors that use electromagnetic forces to eliminate bearings. The project aims to transform the reliability, lifetime, efficiency, and utility of electric motors and generators across industries like transportation, manufacturing, and medical equipment. By creating a cost-effective solution that uses...
- The National Science Foundation awarded a $560,000 Project Grant to the Massachusetts Institute of Technology from June 2021 through May 2026 under the Engineering program (CFDA 47.041). The grant funds research to develop integrated design and digital fabrication methods using topology optimization and material extrusion 3D printing. Specifically, the award supports work to advance the use of topology optimization techniques to design lightweight structures that can be readily fabricated...
This Project Grant from the National Science Foundation will fund the development of a level-set-based, multi-physics and multi-material topology optimization software for electric machine design. The $550,000 award, made under the NSF Technology, Innovation, and Partnerships program, will support work at Stony Brook University from August 1, 2022 to July 31, 2025. The software aims to improve electric generator and motor designs through parametric topology optimization of magnets. This will integrate optimization with model-based codesign tools and enable validation through advanced manufacturing of optimized magnets. The level-set approach can handle design-dependent boundary conditions, offering advantages over other topology optimization methods. If successful, the software could reduce design lead times and facilitate high-quality, high-throughput electric machines for applications such as electric vehicles and wind power generation. The Research Foundation for the State University of New York will administer the funding on behalf of Stony Brook University.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $550.0k | 7/29/22 |