Resin Film Infusion Process: Numerical Algorithm

Authors

  • Ahmed Ouezgan Applied Research Team on Composites, Management and Innovation, High National School of Electricity and Mechanics, Hassan II University of Casablanca, BP 8118, Oasis, Casablanca, Morocco
  • Mouad Bellahkim Applied Research Team on Composites, Management and Innovation, High National School of Electricity and Mechanics, Hassan II University of Casablanca, BP 8118, Oasis, Casablanca, Morocco
  • Said Adima Applied Research Team on Composites, Management and Innovation, High National School of Electricity and Mechanics, Hassan II University of Casablanca, BP 8118, Oasis, Casablanca, Morocco
  • Aziz Maziri Applied Research Team on Composites, Management and Innovation, High National School of Electricity and Mechanics, Hassan II University of Casablanca, BP 8118, Oasis, Casablanca, Morocco
  • El Hassan Mallil Applied Research Team on Composites, Management and Innovation, High National School of Electricity and Mechanics, Hassan II University of Casablanca, BP 8118, Oasis, Casablanca, Morocco
  • Jamal Echaabi Applied Research Team on Composites, Management and Innovation, High National School of Electricity and Mechanics, Hassan II University of Casablanca, BP 8118, Oasis, Casablanca, Morocco

DOI:

https://doi.org/10.37934/arfmts.90.2.2031

Keywords:

Liquid composite molding, resin film infusion, numerical algorithm, resin

Abstract

The liquid composite molding (LCM) belongs to the composite manufacturing processes. In this family, a fabric preform material is placed into the mold cavity, and then it is impregnated with a thermosetting resin of low viscosity, until the fiber skeleton is entirely filled and finally polymerized to create a polymeric composite product. Due to its advantages, LCM has gained attention and competitiveness against other composite manufacturing processes. The resin film infusion (RFI) belongs to the LCM family, but unlike the other variants, such as resin transfer molding (RTM) and vacuum assisted resin infusion (VARI), in which the liquid resin is injected or infused into the mold cavity, the resin in the RFI process is placed into the mold cavity in the semi-cured state. Then, under pressure and temperature, the resin film will be liquefied and impregnated the fibrous reinforcement in the thickness direction. This particularity permits to RFI to fabricate large complex composite structures and reduce significantly the equipment cost as compared to the conventional resin transfer molding processes. However, as this variant used only a vacuum bag as the upper half-mold, the fabricated part has non-uniformity in the thickness, low dimensional tolerances and low fiber volume fraction. The main objective of this paper is to propose a numerical algorithm allowing to study the influence of part thickness on the RFI’ filling time. Numerical simulation is based on the explicit finite difference method. The results obtained show that the filling time increases parabolically with the part thickness.

Author Biographies

Ahmed Ouezgan, Applied Research Team on Composites, Management and Innovation, High National School of Electricity and Mechanics, Hassan II University of Casablanca, BP 8118, Oasis, Casablanca, Morocco

ahmed.ouezgan@ensem.ac.ma

Mouad Bellahkim, Applied Research Team on Composites, Management and Innovation, High National School of Electricity and Mechanics, Hassan II University of Casablanca, BP 8118, Oasis, Casablanca, Morocco

mouad.bellahkim@ensem.ac.ma

Said Adima, Applied Research Team on Composites, Management and Innovation, High National School of Electricity and Mechanics, Hassan II University of Casablanca, BP 8118, Oasis, Casablanca, Morocco

s.adima@ensem.ac.ma

Aziz Maziri, Applied Research Team on Composites, Management and Innovation, High National School of Electricity and Mechanics, Hassan II University of Casablanca, BP 8118, Oasis, Casablanca, Morocco

a.maziri@ensem.ac.ma

El Hassan Mallil, Applied Research Team on Composites, Management and Innovation, High National School of Electricity and Mechanics, Hassan II University of Casablanca, BP 8118, Oasis, Casablanca, Morocco

e.mallil@ensem.ac.ma

Jamal Echaabi, Applied Research Team on Composites, Management and Innovation, High National School of Electricity and Mechanics, Hassan II University of Casablanca, BP 8118, Oasis, Casablanca, Morocco

j.echaabi@ensem.ac.ma

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Published

2021-12-28

How to Cite

Ahmed Ouezgan, Mouad Bellahkim, Said Adima, Aziz Maziri, El Hassan Mallil, & Jamal Echaabi. (2021). Resin Film Infusion Process: Numerical Algorithm. Journal of Advanced Research in Fluid Mechanics and Thermal Sciences, 90(2), 20–31. https://doi.org/10.37934/arfmts.90.2.2031

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Articles