Abstract:

The traditional R & D process of new materials, which is based on a large number of experiments and experiences, is inefficient, time - consuming, and costly. The Materials Genome Initiative is of great guiding significance for engineering design. By coordinately integrating efficient experimental techniques with rapid computational simulation and prediction, it can significantly shorten the R & D cycle of new materials and their engineering application process and reduce costs. The short - cut basalt fiber - reinforced polylactic acid (BF/PLA) composite material is naturally green, environmentally friendly, and degradable. As one of the ideal alternative materials for some interior and exterior parts of automobiles, it has broad development prospects. To study the influence mechanism of different fiber parameter ratios on the thermal properties of BF/PLA composite materials and rapidly develop suitable materials for automotive parts, this paper first conducts experiments on the thermal properties of BF/PLA composite materials with various fiber parameter ratios. Through data correlation analysis, the influence of different fiber parameter ratios on the thermal properties of the composite materials is explored. Using the F - value from the three - factor analysis of variance method, a method for quasi - centralizing fiber parameters is proposed. Fitting regression functions between the glass transition temperature, crystallinity, and the centralized variables are established to predict the thermal properties. The determination coefficients R² are 0.8870 and 0.8551 respectively, and the prediction accuracy is within the acceptable range of practical engineering. A finite element analysis of the thermal properties of the inner door panel of an actual vehicle model of an automobile enterprise is carried out. The simulation results of the predicted data are compared with those of the original vehicle. The results show that the thermal properties of the composite material with the optimal ratio selected by the method proposed in this paper are slightly better, and the R & D efficiency is significantly improved, which verifies the effectiveness of the method proposed in this paper. It provides important theoretical guidance and method reference for the rapid development, cost reduction, material substitution, and green design of automotive composite materials in the future.

Key words: basalt fiber, polylactic acid, fitting regression function, thermal property, inner panel of automobile door