ANALYSIS OF SHEARER'S GEAR BASED ON MULTI-FIELD COUPLING AND NEURAL NETWORK

摘要

In order to study the thermal equilibrium process of rocker arm's gear system, the flexible virtual prototype coupling model of shearer's rocker arm system was established, the load file outputted by dynamic simulation software ADAMS was loaded. The temperaturestructure coupling analysis and fatigue life prediction of gear had been done by using the finite element software ANSYS, the temperature field nephogram and structure field nephogram of gear were obtained. Combining multi-field coupling technique and neural network could predict the safe working condition data of the low speed and heavy load gear of shearer, the error was 1.25e-5, providing a unequivocal basis for the design and optimization of gear type parts, which can improve the working reliability of this kind of parts effectively, this method also has instruction significance to shearer's practical productions.