Design and Simulation of Vehicle Cab Noise Reduction based on Symplectic Geometry Method

Ziyu Zheng

2019

Abstract

The noise caused by the vibration of the car body will reduce the comfort of the car. In order to reduce the indoor noise, through the experimental modal analysis of the cab, the change of natural frequency and basic mode of vibration is obtained. It is found that when the frequency is 120.44 Hz, the cab noise has the greatest impact. Through symplectic geometric analysis and panel acoustic contribution analysis, it is found that the cab panel has the greatest influence on the sound pressure near the ear of the roof driver. In order to solve the above problems, the noise reduction method of the cab roof using stiffened panels and the sound radiation theory is used to simulate the noise reduction effect of the improved cab. It is found that the sound pressure of the improved cab is significantly reduced, the low-frequency noise is effectively suppressed, and the comfort of the car is improved.

Paper Citation

in Harvard Style

Zheng Z. (2019). Design and Simulation of Vehicle Cab Noise Reduction based on Symplectic Geometry Method.In Proceedings of 5th International Conference on Vehicle, Mechanical and Electrical Engineering - Volume 1: ICVMEE, ISBN 978-989-758-412-1, pages 102-107. DOI: 10.5220/0008870401020107

in Bibtex Style

@conference{icvmee19,
author={Ziyu Zheng},
title={Design and Simulation of Vehicle Cab Noise Reduction based on Symplectic Geometry Method},
booktitle={Proceedings of 5th International Conference on Vehicle, Mechanical and Electrical Engineering - Volume 1: ICVMEE,},
year={2019},
pages={102-107},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008870401020107},
isbn={978-989-758-412-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of 5th International Conference on Vehicle, Mechanical and Electrical Engineering - Volume 1: ICVMEE,
TI - Design and Simulation of Vehicle Cab Noise Reduction based on Symplectic Geometry Method
SN - 978-989-758-412-1
AU - Zheng Z.
PY - 2019
SP - 102
EP - 107
DO - 10.5220/0008870401020107