A novel derivative free methodology for multi-material topology optimization based on projective transformations and boolean operations
A novel derivative free methodology for multi-material topology optimization based on projective transformations and boolean operations
A variety of topology optimization (TO) studies have been carried out for the design of a multi-material magnetic system including permanent magnet (PM) and back-iron structures. However, most conventional methodologies update the material distribution iteratively according to the sensitivity information, which is of low accuracy and even unavailable in some cases. Moreover, in reality, the fabrication of permanent magnets with intricate geometries poses significant challenges. However, a limited number of the existing methodologies incorporate geometric controls within the optimization process to guarantee the manufacturability of the optimized topologies. To address the aforementioned issues, a novel derivative free multi-material TO method based on the projective transformations (PT) and Boolean operations (BO) is proposed. Specifically, some elementary components are constructed and then evolved by using PT and BO to generate new topologies. Also, the mechanism that can deal with the interaction of multiple materials is developed. According to the numerical results, the proposed methodology is capable of effectively enhancing the objective function and ensuring the manufacturability of the optimized results.
Analytical models, Boolean operations, Derivative free, Iron, Numerical analysis, Numerical models, Permanent magnets, Solid modeling, Topology, multi-material, projective transformations, topology optimization
1
Xia, Meng
f564f5a8-357e-43b0-a1de-a9a476267522
Li, Jing
1c8f367e-c966-4d7b-b4dc-aa9162070f1b
Li, Yongjian
c3925354-6bc9-4430-b30e-34ef1f93c804
Yang, Shiyou
aadc1ef0-daeb-4b8f-a6ec-3f7e60edc862
Sykulski, Jan
d6885caf-aaed-4d12-9ef3-46c4c3bbd7fb
26 October 2023
Xia, Meng
f564f5a8-357e-43b0-a1de-a9a476267522
Li, Jing
1c8f367e-c966-4d7b-b4dc-aa9162070f1b
Li, Yongjian
c3925354-6bc9-4430-b30e-34ef1f93c804
Yang, Shiyou
aadc1ef0-daeb-4b8f-a6ec-3f7e60edc862
Sykulski, Jan
d6885caf-aaed-4d12-9ef3-46c4c3bbd7fb
Xia, Meng, Li, Jing, Li, Yongjian, Yang, Shiyou and Sykulski, Jan
(2023)
A novel derivative free methodology for multi-material topology optimization based on projective transformations and boolean operations.
IEEE Transactions on Magnetics, .
(doi:10.1109/tmag.2023.3325823).
Abstract
A variety of topology optimization (TO) studies have been carried out for the design of a multi-material magnetic system including permanent magnet (PM) and back-iron structures. However, most conventional methodologies update the material distribution iteratively according to the sensitivity information, which is of low accuracy and even unavailable in some cases. Moreover, in reality, the fabrication of permanent magnets with intricate geometries poses significant challenges. However, a limited number of the existing methodologies incorporate geometric controls within the optimization process to guarantee the manufacturability of the optimized topologies. To address the aforementioned issues, a novel derivative free multi-material TO method based on the projective transformations (PT) and Boolean operations (BO) is proposed. Specifically, some elementary components are constructed and then evolved by using PT and BO to generate new topologies. Also, the mechanism that can deal with the interaction of multiple materials is developed. According to the numerical results, the proposed methodology is capable of effectively enhancing the objective function and ensuring the manufacturability of the optimized results.
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More information
Accepted/In Press date: 2023
Published date: 26 October 2023
Additional Information:
Publisher Copyright:
IEEE
Keywords:
Analytical models, Boolean operations, Derivative free, Iron, Numerical analysis, Numerical models, Permanent magnets, Solid modeling, Topology, multi-material, projective transformations, topology optimization
Identifiers
Local EPrints ID: 486010
URI: http://eprints.soton.ac.uk/id/eprint/486010
ISSN: 0018-9464
PURE UUID: a19e4e9a-9fba-43f7-8bb7-019d743bf849
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Date deposited: 05 Jan 2024 17:48
Last modified: 18 Mar 2024 02:32
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Contributors
Author:
Meng Xia
Author:
Jing Li
Author:
Yongjian Li
Author:
Shiyou Yang
Author:
Jan Sykulski
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