• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

一种基于利用伴随方法的混合有限元-边界元法的磁性结构拓扑优化算法。

A topology optimization algorithm for magnetic structures based on a hybrid FEM-BEM method utilizing the adjoint approach.

作者信息

Wautischer Gregor, Abert Claas, Bruckner Florian, Slanovc Florian, Suess Dieter

机构信息

Faculty of Physics, University of Vienna, Vienna, Austria.

Research Platform MMM Mathematics-Magnetism-Materials, University of Vienna, Vienna, Austria.

出版信息

Sci Rep. 2022 Jan 21;12(1):1119. doi: 10.1038/s41598-021-04246-z.

DOI:10.1038/s41598-021-04246-z
PMID:35064136
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8782837/
Abstract

A method to optimize the topology of hard as well as soft magnetic structures is implemented using the density approach for topology optimization. The stray field computation is performed by a hybrid finite element-boundary element method. Utilizing the adjoint approach the gradients necessary to perform the optimization can be calculated very efficiently. We derive the gradients using a "first optimize then discretize" scheme. Within this scheme, the stray field operator is self-adjoint allowing to solve the adjoint equation by the same means as the stray field calculation. The capabilities of the method are showcased by optimizing the topology of hard as well as soft magnetic thin film structures and the results are verified by comparison with an analytical solution.

摘要

一种用于优化硬磁和软磁结构拓扑的方法,采用密度法进行拓扑优化。杂散场计算通过有限元-边界元混合方法进行。利用伴随方法,可以非常高效地计算出进行优化所需的梯度。我们使用“先优化后离散”方案推导梯度。在该方案中,杂散场算子是自伴的,这使得可以用与杂散场计算相同的方法求解伴随方程。通过优化硬磁和软磁薄膜结构的拓扑来展示该方法的能力,并通过与解析解比较来验证结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ac8/8782837/cf46c0843594/41598_2021_4246_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ac8/8782837/3c22a1d9b5a8/41598_2021_4246_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ac8/8782837/11dd6755b8bd/41598_2021_4246_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ac8/8782837/96f477e8d092/41598_2021_4246_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ac8/8782837/58c3b39e5936/41598_2021_4246_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ac8/8782837/8992837a55e4/41598_2021_4246_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ac8/8782837/076b464fe8c5/41598_2021_4246_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ac8/8782837/bcde536d07e1/41598_2021_4246_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ac8/8782837/9461d13b7492/41598_2021_4246_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ac8/8782837/2aad7cec8f31/41598_2021_4246_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ac8/8782837/cf46c0843594/41598_2021_4246_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ac8/8782837/3c22a1d9b5a8/41598_2021_4246_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ac8/8782837/11dd6755b8bd/41598_2021_4246_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ac8/8782837/96f477e8d092/41598_2021_4246_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ac8/8782837/58c3b39e5936/41598_2021_4246_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ac8/8782837/8992837a55e4/41598_2021_4246_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ac8/8782837/076b464fe8c5/41598_2021_4246_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ac8/8782837/bcde536d07e1/41598_2021_4246_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ac8/8782837/9461d13b7492/41598_2021_4246_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ac8/8782837/2aad7cec8f31/41598_2021_4246_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ac8/8782837/cf46c0843594/41598_2021_4246_Fig10_HTML.jpg

相似文献

1
A topology optimization algorithm for magnetic structures based on a hybrid FEM-BEM method utilizing the adjoint approach.一种基于利用伴随方法的混合有限元-边界元法的磁性结构拓扑优化算法。
Sci Rep. 2022 Jan 21;12(1):1119. doi: 10.1038/s41598-021-04246-z.
2
Topology optimization for three-dimensional electromagnetic waves using an edge element-based finite-element method.基于棱边元有限元法的三维电磁波拓扑优化
Proc Math Phys Eng Sci. 2016 May;472(2189):20150835. doi: 10.1098/rspa.2015.0835.
3
Topology optimization of a heat-assisted magnetic recording write head to reduce transition curvature using a binary optimization algorithm utilizing the adjoint method.使用基于伴随方法的二元优化算法对热辅助磁记录写头进行拓扑优化以减小过渡曲率。
Sci Rep. 2022 Aug 17;12(1):13986. doi: 10.1038/s41598-022-18112-z.
4
Comparative performance of the finite element method and the boundary element fast multipole method for problems mimicking transcranial magnetic stimulation (TMS).有限元方法与边界元快速多极方法在模拟经颅磁刺激(TMS)问题中的比较性能。
J Neural Eng. 2019 Apr;16(2):024001. doi: 10.1088/1741-2552/aafbb9. Epub 2019 Jan 3.
5
Solving Large-Scale Inverse Magnetostatic Problems using the Adjoint Method.使用伴随方法解决大规模逆静磁问题。
Sci Rep. 2017 Jan 18;7:40816. doi: 10.1038/srep40816.
6
A new approach for fast field calculation in electrostatic electron lens design and optimization.静电电子透镜设计与优化中快速场计算的一种新方法。
Sci Rep. 2024 Feb 28;14(1):4859. doi: 10.1038/s41598-024-55518-3.
7
A coupled finite element-boundary element method for modeling Diffusion equation in 3D multi-modality optical imaging.一种用于三维多模态光学成像中扩散方程建模的耦合有限元-边界元方法。
Biomed Opt Express. 2010 Sep 1;1(2):398-413. doi: 10.1364/BOE.1.000398. Epub 2010 Aug 2.
8
A numerical method to enhance the accuracy of mass-spring systems for modeling soft tissue deformations.一种提高用于软组织变形建模的质量-弹簧系统精度的数值方法。
J Appl Biomech. 2009 Aug;25(3):271-8. doi: 10.1123/jab.25.3.271.
9
The discrete adjoint method for parameter identification in multibody system dynamics.多体系统动力学中参数识别的离散伴随方法。
Multibody Syst Dyn. 2018;42(4):397-410. doi: 10.1007/s11044-017-9600-9. Epub 2017 Nov 3.
10
Lead field computation for the electrocardiographic inverse problem--finite elements versus boundary elements.心电图逆问题的导联场计算——有限元法与边界元法
Comput Methods Programs Biomed. 2005 Mar;77(3):241-52. doi: 10.1016/j.cmpb.2004.10.005.

引用本文的文献

1
Topology optimization of a heat-assisted magnetic recording write head to reduce transition curvature using a binary optimization algorithm utilizing the adjoint method.使用基于伴随方法的二元优化算法对热辅助磁记录写头进行拓扑优化以减小过渡曲率。
Sci Rep. 2022 Aug 17;12(1):13986. doi: 10.1038/s41598-022-18112-z.