Transactions of Materials and Heat Treatment

Title：Reliability sensitivity analysis on motion mechanism based on artificial neural network

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ClassificationCode：V19；TB114.3

year,vol(issue):pagenumber：2019,44(8):182-188

Abstract：

The influence of the uncertainty of linkage dimension and assembly position on the motion accuracy was considered during the design, manufacture and assembly processes of the motion mechanism, and a reliability sensitivity analysis method of motion mechanism based on the artificial neural network was studied. Based on the artificial neural network, the function of motion mechanism was constructed by small samples, and its reliability calculation formula was deduced. Then, combing with the global sensitivity analysis, the reliability sensitivity calculation method of the motion mechanism was derived, and the contribution of random variables to the reliability of motion mechanism was obtained, that is, the firstorder index, second-order index, high-order index and total index of the reliability sensitivity. Finally, the fourbar linkage motion mechanism and aeronautical stamping machine motion mechanism were analyzed by the proposed method. The results show that the researched method can identify the contribution of random variables to the reliability of motion mechanism, and the reliability and robustness of motion mechanism can be improved, which has not only higher engineering application value but also provides theoretical guidance for the other mechanism design.

Funds：

陕西省教育厅科研计划项目 (18JK0410)；西安航空学院校级基金项目(2019KY1230)；西安航空学院校级基金项目(2015KY1215)

作者简介：唐成虎（1991-），男，硕士，助教 E-mail：chenghutang@126.com

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