Parameter Identification of Dynamic Model of Glass Fiber Reinforced Polypropylene under Adiabatic Temperature Rise Effect

doi:10.3901/JME.260117

Abstract

Abstract: Considering the high temperatures and large deformations that occur during airbag deployment tests on vehicle instrument panels, it is necessary to conduct material-level tests and constitutive parameter identification studies on the materials used in the instrument panel in order to improve the simulation accuracy of the airbag module airbag door tear-off deployment. Taking glass fiber reinforced polypropylene(PPGF) used in vehicle instrument panels as the research object, material mechanical properties tests are conducted under quasi-static, high-temperature, high strain rate, and different stress state conditions to obtain the stress-strain curves of the material under different conditions. At the same time, it is found that the fracture strain of the material increased with increasing strain rate during dynamic stretching process. Through this phenomenon, it is found that this is the exothermic warming effect. Based on the test results, the Johnson-Cook (J-C) model parameter identification method is improved by considering the exothermic warming effect in the dynamic stretching process. First, the effect of strain rate and temperature softening on material properties is studied from a macroscopic perspective. Then, the model parameters of the J-C constitutive model and the fracture failure model are identified based on the experimental data, considering the effect of exothermic warming in the dynamic stretching condition. The model parameters describing the properties of PPGF material are well fitted. Finally, a three-dimensional model of the high-speed stretching and three-point bending test are established using finite element software, and the J-C model parameter values identified before and after the improvement are used for numerical simulation calculations. By comparing the experimental and numerical simulation results, the validity of the model and the improved identification method is verified. The results show that the J-C model parameter values obtained using the improved identification method can effectively describe the stress flow behavior and fracture failure behavior of PPGF material under large deformation and high strain rate conditions.

Key words: PPGF material, constitutive model, fracture failure model, adiabatic temperature, strain rate effect

CLC Number:

TQ311

LIU Xiaoang, WANG Siyao, ZHENG Weijun, CHEN Guang, ZHANG Qu, GU Chenguang, SHANGGUAN Wenbin. Parameter Identification of Dynamic Model of Glass Fiber Reinforced Polypropylene under Adiabatic Temperature Rise Effect[J]. Journal of Mechanical Engineering, 2026, 62(4): 190-202.

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