Predicting changes in vibration response of vehicle transmission using first-and second-order iterative embedded sensitivity function
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.
1. Beijing Institute of Technology, Beijing 100081,China;
2. Vehicle Research Center, Beijing 100081,China
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.
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