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Abstract

The core goal of this paper is to put forward a feasible scheme of noise reduction for a target forklift on the basis of solving the problem of vibration and acoustic radiation from complex structures in infinite domain. Based on the previous report and vibration acceleration tests, the acoustic virtual wind tunnel model of forklift power compartment was established using finite element method and boundary element method, in which the perfectly matched layer was first applied to simulate the attenuation propagation of sound waves in air. In addition, according to the distribution characteristics of sound pressure field with different frequencies, the acoustic energy mainly radiated through the bottom and right side, and concentrated in the low frequency. Consequently, the acoustic packaging design for the whole forklift power compartment was presented, and a satisfying noise reduction effect was achieved.
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Bibliography

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Authors and Affiliations

Enlai Zhang
1 2
Zhiqi Liu
2
Jingjing Zhang
3
Jiahe Lin
4

  1. School of Mechanical and Automotive Engineering, Xiamen University of Technology, Xiamen, China
  2. Chengyi University College, Jimei University, Xiamen, China
  3. College of Applied Science and Technology, Hainan University, Danzhou, China
  4. Department of Mechanical and Electrical Engineering, Xiamen University, Xiamen, China
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Abstract

There is no doubt that traffic noise has become one of the main sources of urban noise, and the electric bus, as an important means of transport frequently used by people in daily life, has a direct impact on the psychological and auditory health of passengers due to its interior noise characteristics. Consequently, studying electric bus sound quality is an important way to improve vehicle performance and comfort. In this paper, eight electric buses were selected and 64 noise samples were measured. Acoustic comfort was taken as an evaluation index, professionals were organized to complete the subjective evaluation tests for all noise samples based on rank score comparison (RSC). And nine psycho-acoustic objective parameters such as loudness, sharpness and roughness were calculated using ArtemiS software to establish the sound quality database of electric buses. Aiming at the practical application requirements of high-precision modeling of acoustic comfort in vehicles, this paper presented two improved extreme gradient boosting (XGBoost) algorithms based on grid search (GS) method and particle swarm optimization (PSO), respectively, with objective parameters and acoustic comfort as input and output variables, and established three regression models of standard XGBoost, GS-XGBoost and PSO-XGBoost through data training. Finally, the calculation results of three indexes of average relative error, square root error and correlation coefficient indicate that the proposed PSO-XGBoost model is significantly better than GS-XGBoost and standard XGBoost, with its prediction accuracy as high as 97.6 %. This model is determined as the evaluation model of interior acoustic comfort for this case, providing a key technical support for future sound quality optimization of electric buses.
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Authors and Affiliations

Enlai Zhang
1 2
Yi Chen
1
ORCID: ORCID
Liang Su
3
Ruoyu Zhonglian
1
Xianyi Chen
1
Shangfeng Jiang
1

  1. School of Mechanical and Automotive Engineering, Xiamen University of Technology, Xiamen, China
  2. Xiamen Key Laboratory of Robot Systems and Digital Manufacturing, Xiamen, China
  3. Bus Engineering Research Institute, Xiamen King Long United Automotive Industry Co., Ltd, Xiamen, China

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