个人信息Personal Information
副教授
博士生导师
硕士生导师
性别:男
毕业院校:大连理工大学
学位:博士
所在单位:软件学院、国际信息与软件学院
学科:软件工程. 计算机应用技术. 计算数学
办公地点:信息楼317
联系方式:0411-62274427 250066715@qq.com
电子邮箱:sfwang@dlut.edu.cn
Lightweight framework of shell models utilizing local heat sensors
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论文类型:期刊论文
发表时间:2018-11-14
发表刊物:INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS
收录刊物:SCIE、Scopus
卷号:14
期号:11
ISSN号:1550-1477
关键字:Lightweight; shell model; heat sensor; diffusion; three-dimensional printing
摘要:Lightweight is one of the most important research subjects in modern manufacturing. However, the research on lightweight of shell models is rare, and most limited in topological changes. This article proposes a local heat sensor-based lightweight framework of shell models that consists of model analysis, lightweight modeling and analysis, and three-dimensional printing and practical validation in an optimum iterative procedure. Specifically, first, both geometric features and empirical features are introduced to construct a frame structure. Second, a local diffusion-based heat sensor network is exploited to simulate the stress distribution due to two reasons: one is that they have the similar physical transmissibility and the other is that the heat diffusion is smooth, and it guarantees that the thickness variation is smooth and natural without restriction on the degrees of freedom. Then, a local iteration consists of heat simulation and stress analysis is utilized to further improve the efficiency. Finally, we use three-dimensional printer to manufacture testing models and apply them to practical verification and feedback. Our extensive experiments have exhibited many attractive properties, including the flexibility and freedom of the thickness variation, the effectiveness, and credibility of the lightweight.