ADVANCED PERMANENT MAGNET GENERATOR TOPOLOGIES USING MULTIMATERIAL SHAPE OPTIMIZATION AND 3D PRINTING

Latha Sethuraman, Andrew Glaws, Miles Skinner, Mariappan Parans Paranthaman

Research output: Contribution to journalConference articlepeer-review

Abstract

A vast majority of utility-scale wind turbine generators in the United States depend on foreign-sourced rare-earth permanent magnets that are vulnerable to supply chain uncertainties. Many small wind original equipment manufacturers are motivated to pursue continuous improvements to the generator design to lower the material and production costs and improve performance by lowering cogging torque and increasing efficiency. Traditional design and manufacturing offer limited opportunities. In this work, we demonstrate advanced design approaches for a 15-kW baseline wind turbine generator by making use of recent progress in three-dimensional (3D) printing of polymer-bonded magnets and electrical and structural steel. We explore three methods of magnet parametrization using Bézier curves resulting in symmetric, asymmetric and multimaterial magnet designs. We employ a multiphysics approach combining parametric computer-aided-design modeling, finite-element analysis, and targeted sampling to identify novel designs with more opportunities for reducing rare-earth material, improving efficiency and minimizing cogging torque. The results show that asymmetric-pole design and multimaterial-pole designs offer a greater opportunity to minimize rare-earth magnet materials by up to 35% with similar performance as the baseline generator, suggesting newer opportunities with design freedom beyond traditional limits of symmetry and as allowed by 3D printing.

Original languageEnglish
Pages (from-to)478-485
Number of pages8
JournalIET Conference Proceedings
Volume2023
Issue number17
DOIs
StatePublished - 2023
Event12th International Conference on Power Electronics, Machines and Drives, PEMD 2023 - Brussels, Belgium
Duration: Oct 23 2023Oct 24 2023

Funding

feedback. This work was authored by the National Renewable Energy Laboratory, operated by Alliance for Sustainable Energy, LLC, for the U.S. Department of Energy (DOE) under Contract No. DE-AC36-08GO28308. Research at NREL and ORNL were funded by the U.S. Department of Energy Office of Energy Efficiency and Renewable Energy Wind Energy Technologies Office. The views expressed in the article do not necessarily represent the views of the DOE or the U.S. Government. The U.S. Government retains and the publisher, by accepting the article retains a nonexclusive, paid-up, irrevocable, worldwide license for publication, acknowledges that the U.S. Government license to publish or reproduce the published form of this work, or allow others to do so, for U.S. Government purposes.

FundersFunder number
U.S. Department of Energy Office of Energy Efficiency and Renewable Energy Wind Energy Technologies Office
U.S. Department of EnergyDE-AC36-08GO28308

    Keywords

    • BÉZIER CURVES
    • MULTIPHYSICS DESIGN
    • POLYMER-BONDED MAGNETS
    • SHAPE OPTIMIZATION
    • TARGETED SAMPLING

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