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复合材料特性的模型化仿真研究是工艺优化设计的重要辅助途径。本文以试验制备的短切碳纤维木质导电功能复合材料(SCFRW)作为检测样板,通过对样本不同参数下的电特性测试分析,构建了基于单元特性分析理论的有限元电特性仿真模型,并利用ANSYS软件进行了模拟仿真。同时,采用实验测得的表电阻率数据作为学习样本,利用支持向量回归机(SVR)算法对有限元仿真模型参数进行回归拟合并进行仿真预测,寻求有限元建模的最优参数。与实验数据的对照分析验证了SVR优化模型的可靠性和准确性,为实现连续变化参数下的有限元分析提供有效依据。利用SVR优化参数的有限元分析不仅为基于模型化的SCFRW复合材料的工艺优化与控制、材料制备提供科学指导,而且可达到减少材料消耗与浪费的预期目的。
Modeling simulation of composite material properties is an important complementary approach to process optimization design. In this paper, SCFRW was used as a test sample. Through the test and analysis of the electrical characteristics under different parameters of the sample, a finite element simulation model based on the element property analysis theory was established. The simulation model of the electrical properties was established by ANSYS Software simulation. At the same time, the experimentally measured sheet resistivity data is used as a learning sample. The support vector regression (SVR) algorithm is used to fit and simulate the finite element simulation model parameters and find the optimal parameters for the finite element modeling. The comparison with experimental data verifies the reliability and accuracy of the SVR optimization model and provides an effective basis for the realization of finite element analysis under continuous changing parameters. Finite element analysis using SVR optimization parameters not only provides scientific guidance for process optimization and control of material based on modeled SCFRW composites, but also achieves the expected goal of reducing material consumption and waste.