由于汽车等行业新产品设计及零部件装配时,其原型样机在质量、阻尼、刚度等组件发生变化时常出现振动、噪声问题,需对修改后系统的振动进行预测。嵌入灵敏度函数在减小线性振动实现最优设计方面的作用已得到证实,在非线性系统中借助基于统计方法对响应特性进行评价并用于灵敏度中。采用两种灵敏度技术对车辆传动系统非线性模型振动响应的统计特性进行预测。结果表明,两种方法的预测精度在单自由度模型及车辆传动系统模型中获得验证。该方法为在系统设计参数局部摄动获得最优响应提供理论基础。
Abstract
In product manufacturing and test environments, engineers must predict how mechanical components will vibrate when design modifications are made to the mass, damping, or stiffness properties of the components. Which makes predicting changes in vibration response of the modified system being based on the vibration characteristics of original system very important. Embedded sensitivity functions have previously been applied to identify optimal design modifications for reducing linear vibration resonance problems in certain frequency ranges. And it’s also a good way that evaluating the vibration characteristics of nonlinear system bases on statistical method. Two techniques for predicting the forced response of mechanical components for local changes in properties based on (a) first-order multi-step iterative prediction and (b) second-order iterative sensitivity functions are developed. The methods are applied to a single degree of freedom analytical model to determine the accuracy of the predictions. So it is with in vehicle transmission system model. It can gives some suggestions for NVH engineers to acquire local optimal vibration response characteristics according to the technique mentioned above.
关键词
嵌入灵敏度 /
振动响应预测 /
非线性系统 /
车辆传动
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Key words
embedded sensitivity function /
predicting response changes /
nonlinear systems /
vehicle transmission
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脚注
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