2017 Fiscal Year Final Research Report
An efficient approach for shape modeling of microstructure
Project/Area Number |
15K17958
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Research Category |
Grant-in-Aid for Young Scientists (B)
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Allocation Type | Multi-year Fund |
Research Field |
Design engineering/Machine functional elements/Tribology
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Research Institution | The University of Tokyo |
Principal Investigator |
Nagai Yukie 東京大学, 大学院工学系研究科(工学部), 助教 (20586002)
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Project Period (FY) |
2015-04-01 – 2018-03-31
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Keywords | X線CTスキャン / 織物構造 / 形状モデリング |
Outline of Final Research Achievements |
Nowadays materials with complex inner structures have been gathering attention in the manufacturing industry due to their abilities to realize higher stiffness with lighter weight than the traditional solid structures. In this project, we dealt with such a structure consisting of woven strips. For guaranteeing the material’s physical advantages mentioned above, investigating the structure is necessary. X-ray CT scanning is the best way for this purpose, because of its ability of non-destructive measurement. However, for woven structures which are consisting of thin strips, it is hard to properly decompose strips and obtaining high resolution CT volumes. Here we first investigated the parameter setting suitable for CT scanning of woven strip structures and then we developed an algorithm to extract individual strip edges from CT volumes of woven structures. We also showed the efficiency of this algorithm with real CT data.
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Free Research Field |
形状モデリング
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