Research on process parameters of composite components based on Simulation

This study systematically investigates the effects of process parameters (mold temperature, curing pressure, resin flow rate, curing time) on composite mold-ing quality via simulation analysis, orthogonal experiments, and simula-tion-driven genetic algorithm optimization. Physical mechanism modeling re-veals key processes (resin flow, curing reaction, fiber impregnation), supporting defect prediction and parameter optimization. Orthogonal experiments clarify parameter interactions, while optimization using genetic algorithms signifi-cantly enhances molding quality (reducing defects, improving curing uniformity and mechanical properties), validated by experiments. Results confirm these parameters are critical for quality, with the proposed method improving pro-duction efficiency and product reliability. Future work will extend to other composites, refine multi-physics coupling models, and develop smarter algo-rithms to advance industrial applications.