Lightweight framework of shell models utilizing local heat sensors
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 anal...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2018-11-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1177/1550147718811303 |
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| _version_ | 1850186166743072768 |
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| author | Shengfa Wang Longfei Zhang Baojun Li Zhongxuan Luo |
| author_facet | Shengfa Wang Longfei Zhang Baojun Li Zhongxuan Luo |
| author_sort | Shengfa Wang |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-422740531fd145eeaadde0f1483ebaca |
| institution | OA Journals |
| issn | 1550-1477 |
| language | English |
| publishDate | 2018-11-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-422740531fd145eeaadde0f1483ebaca2025-08-20T02:16:28ZengWileyInternational Journal of Distributed Sensor Networks1550-14772018-11-011410.1177/1550147718811303Lightweight framework of shell models utilizing local heat sensorsShengfa Wang0Longfei Zhang1Baojun Li2Zhongxuan Luo3DUT-RU International School of Information and Software Engineering and Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province, Dalian University of Technology, Dalian, ChinaDUT-RU International School of Information and Software Engineering and Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province, Dalian University of Technology, Dalian, ChinaSchool of Automotive Engineering, Dalian University of Technology, Dalian, ChinaDUT-RU International School of Information and Software Engineering and Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province, Dalian University of Technology, Dalian, ChinaLightweight 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.https://doi.org/10.1177/1550147718811303 |
| spellingShingle | Shengfa Wang Longfei Zhang Baojun Li Zhongxuan Luo Lightweight framework of shell models utilizing local heat sensors International Journal of Distributed Sensor Networks |
| title | Lightweight framework of shell models utilizing local heat sensors |
| title_full | Lightweight framework of shell models utilizing local heat sensors |
| title_fullStr | Lightweight framework of shell models utilizing local heat sensors |
| title_full_unstemmed | Lightweight framework of shell models utilizing local heat sensors |
| title_short | Lightweight framework of shell models utilizing local heat sensors |
| title_sort | lightweight framework of shell models utilizing local heat sensors |
| url | https://doi.org/10.1177/1550147718811303 |
| work_keys_str_mv | AT shengfawang lightweightframeworkofshellmodelsutilizinglocalheatsensors AT longfeizhang lightweightframeworkofshellmodelsutilizinglocalheatsensors AT baojunli lightweightframeworkofshellmodelsutilizinglocalheatsensors AT zhongxuanluo lightweightframeworkofshellmodelsutilizinglocalheatsensors |