Paper
20 September 2022 Analysis and optimization design of front wheel alignment parameters of commercial vehicle based on ADAMS
Genge Zhang, Yi Wei, Jialun Shen
Author Affiliations +
Proceedings Volume 12261, International Conference on Mechanical Design and Simulation (MDS 2022); 122614E (2022) https://doi.org/10.1117/12.2639033
Event: Second International Conference on Mechanical Design and Simulation (MDS 2022), 2022, Wuhan, China
Abstract
The front wheel positioning parameters have a very important influence on the steering performance and handling stability. Based on the structural parameters of a heavy-duty commercial vehicle provided by a main engine factory, the front suspension simulation model is constructed based on ADAMS software, and the motion characteristics of the front wheel positioning parameters and their influence on handling and stability are analyzed, and the optimal design variables are determined. After the optimization function is established, the sample points are obtained through the Latin hypercube experimental design. Finally, under the same working conditions of steady-state rotation and single-lane transformation, the handling and stability of heavy-duty commercial vehicles are optimized, and the data before and after optimization are compared to verify the effectiveness of the optimization method in this study. The optimization method is of great practical significance to the analysis and optimization design of front wheel positioning parameters.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Genge Zhang, Yi Wei, and Jialun Shen "Analysis and optimization design of front wheel alignment parameters of commercial vehicle based on ADAMS", Proc. SPIE 12261, International Conference on Mechanical Design and Simulation (MDS 2022), 122614E (20 September 2022); https://doi.org/10.1117/12.2639033
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KEYWORDS
Optimization (mathematics)

Genetic algorithms

Manufacturing

Mathematical modeling

Motion models

Systems modeling

Solids

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