2017 Fiscal Year Final Research Report
Estimation of resin impregnation during LCM using data assimilation of stochastic simulation and electrical measurements and development of impregnation control
| Project/Area Number |
15K05691
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Materials/Mechanics of materials
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| Research Institution | Tokyo University of Science |
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Principal Investigator |
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| Project Period (FY) |
2015-04-01 – 2018-03-31
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| Keywords | 複合材料 / データ同化 |
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| Outline of Final Research Achievements |
In the resin transfer molding of composite materials, the estimation of resin impregnation and permeability is difficult using only observation of the flow front or numerical simulation. This study proposed the integration of stochastic numerical simulation of three-dimensional resin impregnation and flow front observation. The integration was performed using data assimilation techniques to compensate for the lack of measurement data and identify the permeability field, which is a key simulation model parameter for resin impregnation. The developed method was applied to the flat and curved panels, verifying that the impregnation state and permeability field can be simultaneously estimated.
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| Free Research Field |
複合材料
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