Rubber Aging Life Prediction Combining Accelerated Time-temperature Data and Weighted Extrapolation
Aiming at the reasonable bottleneck of accelerated data extrapolation,based on high temperature accelerated test data,a weighted extrapolation method is proposed to achieve accurate prediction of rubber life.Firstly,the nonlinear accelerated degradation model for rubber properties is established,and the nonlinear least squares method is used to realize the identification of acceleration factors at different temperatures.Secondly,the weighted calculation of the activation energy is conducted.Finally,the life at the service temperature is calculated from the activation energy,and the validity of the method is verified by modeling the existing data.The research can provide support for improving the accuracy of accelerated life prediction of rubber parts,and can also provide reference for evaluating the reliability of other mechanical parts.