A Numerical Simulation of the Resin Transfer Molding With Variable Thickness of Reinforcement

Samir, Jamal; Echaabi, Jamal; Hattabi, Mohamed

doi:10.1615/jpormedia.v14.i9.80

Cited by 1 publication

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“…Recently, many researchers have studied the resin infiltration stage during RTM processes, mainly investigating on the influence of processing conditions on composite material properties . In addition, Tamma et al introduced the sensitivity analysis method to compare the sensitive degree of resin filling process to the different parameters .…”

Section: Introductionmentioning

confidence: 99%

Sensitivity analysis on resin transfer molding processes with edge effect and curing reaction characteristics

Ding

Jia

2014

Polym. Compos.

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The mold filling time and resin flow front shape are of fundamental importance during resin transfer molding (RTM) processes, because the former influences productivity and the latter affects composites quality. In this article, considering both edge effect and curing reaction characteristics of the resin flow process, the sensitivity analysis method is introduced to investigate the sensitive degree of mold filling time and resin flow front shape to the key material and processing parameters. The function employed to describe the resin flow front shape is defined, and the mathematical relationships of the key physical parameters, such as fluid pressure sensitivity, flow velocity sensitivity, mold filling time sensitivity, and resin flow front shape sensitivity, are established simultaneously. In addition, then the resin infiltration process is simulated by means of a semi‐implicit iterative calculation method and the finite volume method. The simulated results are in agreement with the analytical ones. The results show that under constant injection velocity conditions, both the change in the resin temperature and the alteration of the inlet velocity hardly affect the resin flow front shape, whereas the influence of edge permeability on the resin flow front shape is the greatest. This study is helpful for designing and optimizing RTM processes. POLYM. COMPOS., 36:2008–2016, 2015. © 2014 Society of Plastics Engineer

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Section: Introductionmentioning

confidence: 99%