Simulation Research of Gear Recovery Noise in Electric Opening Branch with the Vehicle Door Latch
Authors: 
Xu Su, Lubin Hang, Hui Guo, Mingyuan Wang, Zhe Liu, Yong Chen, Yong Hua, Jinliang DuAuthors Info & Claims
Pages 122 - 126
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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Index Terms
- Simulation Research of Gear Recovery Noise in Electric Opening Branch with the Vehicle Door Latch
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Published In
September 2019
803 pages
ISBN:9781450372985
DOI:10.1145/3366194
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Association for Computing Machinery
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Publication History
Published: 20 September 2019
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- Research-article
- Research
- Refereed limited
Funding Sources
- shanghai Automotive Industry Science and Technology Development Foundation
- Shanghai University of Engineering Science
Conference
RICAI 2019
RICAI 2019: 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence
September 20 - 22, 2019
Shanghai, China
Acceptance Rates
RICAI '19 Paper Acceptance Rate 140 of 294 submissions, 48%;
Overall Acceptance Rate 140 of 294 submissions, 48%
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