Research on process parameters of composite components based on Simulation
DOI:
https://doi.org/10.63313/FE.2003Keywords:
Composite Materials, Process Parameter Optimization, Molding Process, Orthogonal Experimental Design, Genetic Algorithm, Molding QualityAbstract
This study systematically investigates the effects of process parameters (mold temperature, curing pressure, resin flow rate, curing time) on composite molding quality via simulation analysis, orthogonal experiments, and simulation-driven genetic algorithm optimization. Physical mechanism modeling reveals key processes (resin flow, curing reaction, fiber impregnation), supporting defect prediction and parameter optimization. Orthogonal experiments clarify parameter interactions, while optimization using genetic algorithms significantly 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 production efficiency and product reliability. Future work will extend to other composites, refine multi-physics coupling models, and develop smarter algorithms to advance industrial applications.
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