Simulation Research of Gear Recovery Noise in Electric Opening Branch with the Vehicle Door Latch

Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence Pub Date : 2019-09-20 DOI:10.1145/3366194.3366215

Xu Su, Lubin Hang, Hui Guo, Mingyuan Wang, Zhe Liu, Yong Chen, Yong Hua, Jinliang Du

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Abstract

The sound quality of the vehicle door latch directly affects the subjective evaluation of the passengers. Aiming at studying gear position recovering noise externally produced by the novel electric opening branch inside the latch, the relationship between gear's torque, angular velocity, and angular acceleration are analyzed. With the gear shaft taken as the center axis of rotation and the other direction of freedom constrained, a three-dimensional gear meshing finite element simulation model is established. The acceleration of gear is calculated using Abaqus software. Based on the boundary element method, the latch embodiments are abstracted into a physical model. The acceleration data is imported into the acoustic transient boundary element module, then the acoustic radiation analysis of the gear high-speed light-load transmission is carried out. The results show that the model can reflect the nonlinear force of the gears during high-speed light-load transmission and the position recovering characteristics of the electric opening branch. Finally, the time-domain acoustic response of the electric opening branch gears is calculated and has a good matching relationship with the input torque of gear. It has certain reference significance for the analysis and optimization of the vehicle door latch sound quality.c

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汽车门闩电动开启支路齿轮恢复噪声仿真研究

汽车门闩的音质直接影响到乘客的主观评价。针对锁存器内新型电动开启分支产生的齿轮位置恢复噪声，分析了齿轮转矩、角速度和角加速度之间的关系。以齿轮轴为中心旋转轴，在其他方向的自由约束下，建立了三维齿轮啮合有限元仿真模型。采用Abaqus软件计算齿轮加速度。基于边界元方法，将闩锁实施例抽象为物理模型。将加速度数据导入声瞬态边界元模块，对齿轮高速轻载传动进行声辐射分析。结果表明，该模型能较好地反映齿轮在高速轻载传动过程中的非线性受力和电动开路分支的位置恢复特性。最后，计算了电动开路分支齿轮的时域声响应与齿轮输入转矩具有良好的匹配关系。对汽车门闩音质的分析与优化具有一定的参考意义

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence

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