Experimental analysis, simulation, and evaluation of process parameters of GFRP composites produced through resin transfer molding

Abstract

Glass fiber reinforced composites are experiencing growing demand across various industries including aerospace, military, and transportation due to their superior mechanical properties compared to traditional materials. A custom Resin Transfer Molding (RTM) setup with a central resin injection system was developed to produce high-quality E-glass chopped strand/polyester composites with different volume fractions and resin injection pressures. Flow visualization techniques were employed to observe resin impregnation into the reinforcement and measure parameters such as filling time, flow front velocity, Reynolds number, permeability, and voids. In this study, three types of composites were fabricated using E-glass chopped strand fiber preforms (with 4, 5, and 6 layers) reinforced with polyester resin at five different resin injection pressures (P1 = 0.2 MPa, P2 = 0.25 MPa, P3 = 0.3 MPa, P4 = 0.35 MPa, and P5 = 0.4 MPa). Simulation studies were undertaken utilizing a control volume-based finite element method, employing commercially available RTM-Worx software to model resin flow behavior and determine Mold filling time. Mold filling times obtained from simulation studies at five selected injection pressures for the three composite types were compared with experimental results. The experimental values closely matched the simulation results with a deviation of only 2.26%. Additionally, impregnation velocities and Reynolds numbers derived from the simulation agreed with experimental results at the specified resin injection pressures. The mechanical properties of the molded laminates, including tensile strength, flexural strength, and impact strength, were evaluated according to ASTM standards. These properties are critical indicators of the composite’s performance in real-world applications. The results revealed that both resin injection pressure and the number of layers significantly affect the composite’s mechanical properties. The findings also highlighted the importance of selecting the appropriate injection pressure to minimize void formation and enhance fiber impregnation.

Keywords

• Microstructure analysis
• RTM method
• simulation
• RTMWorx