Reliability virtual test method for multi-stage gear reducer

Abstract

The invention discloses a reliability virtual test method for a multi-stage gear reducer. The reliability virtual test method comprises the following steps: 1) establishing a parameterized model of main parts of a multi-stage gear reducer by using Pro / E; 2) according to the established parameterized model, importing LS-DYNA to carry out a virtual prototype simulation test, simulating the working states of the multi-stage speed reducer in various failure modes, and extracting the maximum working stress; 3) obtaining the distribution type and distribution parameter value of the stress and strength data of each part under the actual working condition according to the maximum working stress and material mechanical property statistical data; and 4) according to the distribution type and the distribution parameter value of the stress and strength data, obtaining the reliability of the multi-stage speed reducer by utilizing a stress-strength interference model. According to the reliability virtual test method, the reliability of the multi-stage speed reducer is improved, and the whole speed reducer does not need to be modeled again when part parameters are changed, and the development period of continuously relying on a real prototype for testing to improve the reliability level of the speed reducer is greatly shortened, and the development cost is reduced.

Description

technical field [0001] The invention relates to virtual simulation technology, in particular to a parametric modeling and virtual simulation method of a multi-stage gear reducer. Background technique [0002] With the rapid development of computer simulation technology, virtual simulation experiments of various complex systems have become a reality. This technology does not need to build a real physical prototype, and can complete the dynamic simulation of complex structures in a virtual environment. Compared with conventional physical tests, it has the advantages of saving test costs, improving test efficiency, and shortening the development cycle. However, virtual test technology usually uses a deterministic mechanical model for simulation analysis, which cannot consider system random problems. Parametric modeling technology can modify and control the geometric parameters of the model by adjusting parameters, and update the model by changing some constraint parameters wit...

AI Technical Summary

Problems solved by technology

During the working process, the reducer is always affected by external factors such as impact and vibration loads, as well as its own factors such as installation errors, manufacturing errors, and shaft deformation, making its life uncertain.

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