Research on the vibration characteristics of the commercial-vehicle cabin based on experimental design and genetic algorithm
| Autor: | Li-ya Wang, Zheng-yin Ding, Yang Zhao, Lan-ping Li |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
Optimal matching
Computer science Computation lcsh:Mechanical engineering and machinery design of experiment 02 engineering and technology 01 natural sciences Automotive engineering 0103 physical sciences Genetic algorithm 0202 electrical engineering electronic engineering information engineering genetic algorithm General Materials Science lcsh:TJ1-1570 010301 acoustics business.industry Mechanical Engineering Design of experiments Structural engineering Vibration commercial vehicle cabin Vibration isolation 020201 artificial intelligence & image processing vibration Focus (optics) business Reduction (mathematics) |
| Zdroj: | Journal of Vibroengineering, Vol 18, Iss 7, Pp 4664-4677 (2016) |
| ISSN: | 2538-8460 1392-8716 |
| Popis: | Most of the published researches on the vibration isolation performance of the commercial vehicle focus on the suspension system and the power-train system, and few of them focus on the cabin. Moreover, the researches on the cabin mostly focus on how to reduce the interior noise, and the interior vibration characteristics have not received adequate attention. Therefore, this paper tries to research the vibration characteristics of the commercial-vehicle cabin in order to improve ride comfort. Firstly, the vibration characteristic of the cabin was tested on the actual road. Then, the rigid-flexible coupling dynamic model of the commercial vehicle was built, and the computational results were compared with the experimental results. It was found that the results were consistent with each other, which showed that the computational model was reliable. Finally, based on the verified computation model, some parameters that influenced the vibration characteristic of the cabin were explored. As a result, the influencing tendency of each parameter to the cabin vibration under each working condition was obtained, but influencing levels of each parameter cannot be analyzed quantitatively. In order to research the contribution degree of each parameter to the vibration in cabin, DOE (Design of Experiment) method was used for the analysis to provide references for the optimal matching of a cabin suspension system. Then, the vibration in the cabin was optimized based on genetic algorithm to obtain the optimal performance. This research can provide a reference for the other researches on the reduction vibration for the cabin. |
| Databáze: | OpenAIRE |
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