| Description |
1 online resource (14 pages) : illustrations (chiefly color). |
|
text txt rdacontent |
|
computer c rdamedia |
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online resource cr rdacarrier |
| Series |
NREL/PR ; 5000-81582 |
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NREL/PR ; 5000-81582.
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| Note |
"2022 Joint MMM-INTERMAG conference, January 10-14, 2022, New Orleans, Louisiana, USA"--Cover. |
| Bibliography |
Includes bibliographical references. |
| Funding |
U.S. Department of Energy DE-AC36-08GO28308 |
| Note |
Description based on online resource, PDF version; title from cover (NREL, viewed July 8, 2022). |
| Summary |
Minimizing the mass in electric machines while maintaining superior performance has become a new requirement for the advancement of drivetrains used in wind energy and electric mobility. Topology optimization for light-weighting electric machines using traditional approaches typically explore a restricted design space allowed by standard parametrizable geometry and manufacturing, while advanced methods like cell-based density approaches suffer from a lack of robust manufacturability constraints during the optimization process. To overcome these drawbacks, we explore a grid-independent, boundary TO where the outer shape of the magnet is parameterized using Bezier curves. We conduct a design of experiments (DOE) to study the effect of different magnet shapes on machine performance by varying the control points on the Bezier curves. A machine-learning based surrogate model is constructed using the data from the DOE to quantify the relationship between the control points, air-gap torque and mass. The control points are then optimized to maximize the torque density. The approach is used for minimizing electrical steel mass in the IEA-15MW radial flux direct-drive wind turbine generator. The free-from boundary TO resulted in smooth and concise shapes that can be easily additively manufactured with upto 20-ton reduction in electrical steel mass. |
| Subject |
Wind turbines -- Design and construction -- Mathematical models.
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Wind power plants -- Mathematical models.
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Centrales éoliennes -- Modèles mathématiques.
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| Indexed Term |
additive manufacturing |
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Bezier curves |
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parametric design |
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topology optimization |
| Added Author |
Vijayakumar, Ganesh, author.
|
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National Renewable Energy Laboratory (U.S.), issuing body.
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| Standard No. |
1845274 OSTI ID |
|
0000-0001-6270-0430 |
| Gpo Item No. |
0430-P-09 (online) |
| Sudoc No. |
E 9.22:NREL/PR-5000-81582 |
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