Optimization of engine cooling module vibration based on a genetic algorithm

Optimization of engine cooling module vibration based on a genetic algorithm
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DOI:
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发表时间:
2013
期刊:
Journal of Vibration and Shock
影响因子:
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通讯作者:
Zhengqi Xu
Zhengqi Xu
中科院分区:
其他
文献类型:
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作者:
Zhengqi Xu

文献摘要

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发动机冷却模块(CRFM)是汽车怠速运行时的主要噪声源和振动源之一,以某V6发动机冷却模块为研究对象,通过仿真和试验,研究了该CRFM在怠速运行和空调运行时的振动问题,分析了影响CRFM振动的因素,利用MATLAB、能量解耦和Newmark-Beta方法建立了CRFM振动的数值模型,考虑了底盘和冷却风扇的振动,采用混合遗传算法对CRFM隔振器进行了优化,并通过仿真和试验对优化结果进行了验证。
The engine cooling module(CRFM) is one of main sources of noise and vibration for an idling automobile.Here,a V6 engine cooling module was taken as a studying object when it was idling and its air conditioner was working,the vibration problem of this CRFM and the related steering wheel was investigated with simulation and tests,the influence factors affecting the vibration of this CRFM were analyzed.The numerical model of the CRFM vibration was built with MATLAB,energy decoupling and Newmark-Beta methodology,taking chassis and cooling fan vibration into account.The optimization of the CRFM isolators was performed based on a hybrid genetic algorithm,the results were validated with simulation and tests.