Attitude analysis of automobile steering gear based on Monte Carlo algorithm

Zhenfeng Li; Aozhi Li; Liwei Sun

doi:10.1117/12.3038443

5 August 2024 Attitude analysis of automobile steering gear based on Monte Carlo algorithm

Zhenfeng Li, Aozhi Li, Liwei Sun

Proceedings Volume 13226, Third International Conference on Advanced Manufacturing Technology and Manufacturing Systems (ICAMTMS 2024); 1322640 (2024) https://doi.org/10.1117/12.3038443
Event: 3rd International Conference on Advanced Manufacturing Technology and Manufacturing Systems (ICAMTMS 2024), 2024, Changsha, China

Abstract

In the field of automobile engineering, the design and analysis of steering system is very important, which is directly related to the stability of vehicle control. As a key component of the steering system, the accuracy of the steering gear 's attitude has a significant impact on ensuring steering accuracy and reliability. In this paper, the simulation method based on Monte Carlo algorithm is used to analyze the moment of inertia of automobile steering gear and predict its performance under simulation conditions. By applying the algorithm to the analysis of the moment of inertia of the steering gear, the dynamic response of the gear is simulated more accurately. Through multiple calculation and analysis, the frequency distribution of steering gear error parameters is established, and the influence characteristics of different parameter changes on gear performance are obtained. The results show that the application of Monte Carlo simulation can effectively guide the design of steering gear and reduce the risk caused by parameter uncertainty.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zhenfeng Li, Aozhi Li, and Liwei Sun "Attitude analysis of automobile steering gear based on Monte Carlo algorithm", Proc. SPIE 13226, Third International Conference on Advanced Manufacturing Technology and Manufacturing Systems (ICAMTMS 2024), 1322640 (5 August 2024); https://doi.org/10.1117/12.3038443

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