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Direct numerical simulation of infusion and flow-front tracking in materials with heterogeneous permeability using a pressure mapping sensor
Arthur Lévy, James Kratz

Direct numerical simulation of infusion and flow-front tracking in materials with heterogeneous permeability using a pressure mapping sensor

Author / Organization:
Science & Mathematics Published 2019 Verification Pending

Overview & Synopsis

This paper explores the use of thin film piezoresistive pressure mapping sensors as a means to improve resin transfer moulding processes. The pressure mapping sensor was located between the preform and mould, giving information regarding the permeability map prior to infusion. The permeability map is used as an input to a direct numerical simulation of the infusion step of a highly variable reclaimed carbon fibre preform. The pressure sensor was also used to track the flow front position in-situ, due to a change in load sharing between the preform and liquid during the infusion experiment. Flow front tracking with the pressure mapping sensor was validated against conventional camera images taken through a transparent mould. The direct numerical simulation was able to account for local permeability variation in the preform, providing improved flow-front prediction than homogeneous permeability only, and could be part of a wider strategy to improve resin transfer moulding process robustness.

Indexed from repository: HAL Open Science (hal.science)
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Document Information

Document Title Direct numerical simulation of infusion and flow-front tracking in materials with heterogeneous permeability using a pressure mapping sensor
Author / Organization Arthur Lévy, James Kratz
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2019
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-144370
Original Source Link Visit Source Page on hal.science »