Session: 02-06-01: Product and Sustainable Design

Paper Number: 111662

111662 - Inversion Method of Material Parameters in Different Areas of Automotive Tires Based on Stiffness Experiment 

Accurate tire model can provide support for the simulation of wheel mechanical performance. However, due to the large number of materials contained in the tire and the complexity of the tire structure,, there are many difficulties in tire modeling. And for wheel enterprises, it is difficult to obtain the tire material parameters directly from the tire factory, and it is costly and time-consuming to obtain the material parameters by testing the materials in the tire. In order to solve this problem, this paper proposes a method based on the tire stiffness test, in the case of reasonable simplification of the tire structure, with the help of finite element software and optimization software to inversion and identification of tire material parameters.

Firstly, the radial stiffness and lateral stiffness of the selected tire are tested, and the load-displacement curves of the tire under different tire pressures and different loads are obtained. Then, the material composition in the tire structure is simplified to avoid that the inversion process is difficult to converge due to too many types of material composition in the tire structure. After that, the finite element models of radial and lateral stiffness test of the tire are established in Abaqus simulation software, and the load-displacement curves of the tire under different working conditions are simulated. The variance between the obtained test data and the simulation data is used as the judgment standard for the later optimization of tire parameters. In addition, in the Isight optimization design software, the material parameters for each part of the tire are set as the optimization parameters. And the multi-island genetic algorithm is used to iteratively change the tire material parameters according to the simulation results of radial and lateral stiffness of the tire under different material parameters. Until the difference between the simulation results and the test results of tire stiffness under different conditions meets the convergence requirements, the optimum tire material parameters can be obtained. Finally, the method is used to retrieve material parameters of various tire sizes, and the effectiveness of the tire material parameter inversion method is verified by comparing the experimental and simulation results of the radial stiffness and lateral stiffness of each tire. That is, the tire finite element model with the material parameters obtained by inversion can accurately reflect the overall stiffness performance. The tire model built by this method can be used for the simulation of radial fatigue test, biaxial fatigue test, 13-degree and 90-degree impact test of the wheel, which provides strong support for the evaluation of wheel mechanical properties. Additionally, based on the stiffness test and simulation results of tires of different sizes, the influence laws of tire size, shape and other parameters on its stiffness characteristics are analyzed.

Presenting Author: Yuling Lang CITIC Dicastal Co., Ltd

Presenting Author Biography: Yuling Lang is the director and senior engineer of the Engineering Simulation Center of CITIC Dicastal Co., Ltd.Her main research fields are the research on the full-cycle simulation method of automobile chassis components and the establishment of intelligent simulation system.
Yuling Lang is a member of the First Manufacturing System Simulation Professional Committee of the China Simulation Society; She has been granted 28 patents.

Authors:

Yuling Lang CITIC Dicastal Co., Ltd
Yizhuo Wang Beihang University
Shenglong Yuan CITIC Dicastal Co., Ltd
Jintao Luo Beihang University
Decai Kong CITIC Dicastal Co., Ltd
Yingchun Shan Beihang University
Shiwen Xu CITIC Dicastal Co., Ltd