Curing deformation prediction and process parameters optimization of stiffened composite panel in autoclave molding

doi:10.19936/j.cnki.2096-8000.20260628.014

Abstract

Abstract: A finite element method was used to establish a multi-physics curing deformation simulation model for stiffened composite panel formed by autoclave pressing. The temperature and curing degree during the process were introduced as initial conditions into the simulation model. A material constitutive model was defined to enable the calculation of curing deformation. The model was validated using an L-type part, with an error of 1.24% for curing degree and -11.4% for curing deformation. The optimization design of process parameters had been achieved by combination of multi-objective genetic algorithm and a surrogate model for the curing deformation simulation of stiffened composite panel. The ensemble of finite element simulation and optimization algorithms for stiffened composite panel structures can improve curing uniformity and reduce curing deformation, so as to help us to improve molding quality and increase efficiency of process optimization.

Key words: composite materials, stiffened panel, autoclave molding, prediction of curing deformation, parameter optimization design

CLC Number:

TB332

LI Xueqin, ZHAI Quansheng, CHEN Zhigang, YE Hongjun. Curing deformation prediction and process parameters optimization of stiffened composite panel in autoclave molding[J]. COMPOSITES SCIENCE AND ENGINEERING, 2026, 0(6): 126-136.

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