A Computational Approach Based on Flow Front Shape Dynamic Behavior for the Process Characterization during Filling in Liquid Resin Infusion

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Abstract:

Resin Infusion (RI) process is one of the common techniques used in the industry for large composite parts production. This technique uses vacuum pressure to drive the resin into a laminate. Preform is laid dry into the mold and the vacuum is applied before the resin is introduced. Once a complete vacuum is achieved, resin is sucked into the laminate via placed tubing. Fig.1 shows a diagram of this process.An appropriate modeling of flow front’s shapes constrained by LRI process during filling can be based on the continuous deformation of the vent oriented flow pattern due to the driving pressure from the inlet. One of the main objectives is that the flow achieves the contour vent uniformly to avoid pressure drop and ensuring complete filling. In LRI, the flow front shape progression is mainly conditioned by the initial arrangement of the injection line allocation and the permeability of the preform that can evolve along the mold

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Key Engineering Materials (Volumes 611-612)

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265-272

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May 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] E. Cueto, C. Ghnatios, F. Chinesta, N. Montes, F. Sanchez, A. Falco, Improving computational efficiency in LCM by using computational geometry and model reduction techniques, ESAFORM 2014, to appear.

DOI: 10.4028/www.scientific.net/kem.611-612.339

Google Scholar

[2] F. Sánchez, J.A. García, F. Chinesta, Ll. Gascón, C. Zhang, Z. Liang, B. Wang, A process performance index based on gate-distance and incubation time for the optimization of gate locations in liquid composite molding processes. Compos Part A, 903-912, Vol. 37/6, (2005).

DOI: 10.1016/j.compositesa.2005.01.016

Google Scholar

[3] Jiang S. Zhang C. Wang B. Optimum arrangement of gate and vent locations for RTM process design using a mesh distance-based approach. Compos Part A 2002; 33: 471-81.

DOI: 10.1016/s1359-835x(01)00146-4

Google Scholar

[4] N. Montés, F. Sánchez. A New Computational Tool for Liquid Composite Moulding Process Design Based on Configuration Spaces. Compos Part A. Vol 41, Is 1, pp.58-77. January (2010).

DOI: 10.1016/j.compositesa.2009.07.003

Google Scholar

[5] S. Osher and R. Fedkiw. Level set methods and dynamic implicit surfaces. Springer Verlag New York, (2003).

Google Scholar