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Waveform prediction method of impact testing machine
Published:2024-09-26 author:LIU Bo, YAN Ming, LI Zhenjun, et al. Browse: 653 Check PDF documents
Waveform prediction method of impact testing machine


LIU Bo, YAN Ming, LI Zhenjun, LEI Lei

(School of Mechanical Engineering, Shenyang University of Technology, Shenyang 110870, China)


Abstract: When using impact testing machine to evaluate products, it often fails to reach the peak acceleration and pulse width of the specified pulse waveform, and it needs to be adjusted by the experience of testers and repeated experiments. Therefore, 
in order to accurately predict the shock waveform before the shock test and save debugging time and resources, 
a method was proposed to predict the peak acceleration and pulse width of the waveform using a nonlinear regression model. First, the MooneyRivlin model was used to fit the hyper elastic intrinsic parameters of the waveform generator, a finite element model of the shock system was established, and shock tests were conducted to verify the accuracy of the finite element model. Then, the finite element and orthogonal experimental methods were used to study the effects of parameters such as hardness, thickness, diameter and shock table drop height of the waveform generator on the shock waveform. Finally, the power function was chosen as the functional form of multivariate nonlinear regression and the less significant factor terms were eliminated to establish the prediction model of peak acceleration and pulse width of the shock waveform, and the accuracy of the prediction model was verified by the shock test. The research results show that the thickness and diameter of the waveform generator and their interaction are the main factors affecting the shock waveforms. Comparing the predicted values of the regression model with the shock test data, it is found that the error between the two is not more than 10%, which indicates that the established regression prediction model of impact waveform is effective.

Key words:  peak acceleration of shock waveform; pulse width; waveform generator; finite element model; orthogonal experiment; nonlinear regression; predictive model
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