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Numerical performance of Poisson method for restricting enclosed voids in topology optimization

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成果类型:
期刊论文
作者:
Wang, Chao;Xu, Bin*;Meng, Qingxuan;Rong, Jianhua;Zhao, Yonghui
通讯作者:
Xu, Bin
作者机构:
[Xu, Bin; Meng, Qingxuan; Wang, Chao; Zhao, Yonghui] Northwestern Polytech Univ, Sch Mech Civil Engn & Architecture, Xian 710072, Peoples R China.
[Xu, Bin; Meng, Qingxuan; Wang, Chao; Zhao, Yonghui] Northwestern Polytech Univ, Inst Struct Hlth Monitoring & Control, Xian 710072, Peoples R China.
[Rong, Jianhua] Changsha Univ Sci & Technol, Sch Automot & Mech Engn, Changsha 410114, Peoples R China.
[Rong, Jianhua] Key Lab Safety Design & Reliabil Technol Engn Veh, Changsha 410114, Peoples R China.
通讯机构:
[Xu, Bin] N
Northwestern Polytech Univ, Sch Mech Civil Engn & Architecture, Xian 710072, Peoples R China.
语种:
英文
关键词:
Design for manufacturing;Topology optimization;Enclosed voids;Additive manufacturing;Traditional manufacturing
期刊:
Computers & Structures
ISSN:
0045-7949
年:
2020
卷:
239
期:
Oct.
页码:
106337
基金类别:
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [11872311,11772070]; Natural Science Basic Research Plan in Shaanxi Province of China [2020JM085]
机构署名:
本校为其他机构
院系归属:
汽车与机械工程学院
摘要:
Suppressing enclosed voids in topology optimization is an important problem in design for manufacturing. The method of Poisson equation-based scalar field constraint (i.e., Poisson method) can effectively address this problem. Nevertheless, the numerical performance of this method is not well understood. This paper investigates the numerical functionality and characteristics of the Poisson method. An electrostatic model is developed to describe this method instead of the previous temperature model. Moreover, an efficient constraint scheme is proposed, which combines density filtering, Heavisid...

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