Fuzzy Reliabiliyty-Optimization And CAD/CAE Research Of Involutes Few Teeth Difference Planetary Transmission

The involute few teeth difference planetary transmission is suitable for all powers, the speed range and all working condition. It causes many countries'widespread attention, becomes one of key research directions in mechanical transmission. So, structural analysis and optimization in design are important for improving the product quality and reducing the production cost. For those, on the base of introducing research background and significance, with fuzzy reliability optimization technology, object-oriented software development technology, parametrization modeling technology, artificial neural network technology, genetic algorithm and finite element analysis technology, this paper optimized design parameter of the involute few teeth difference planetary transmission organization, developed the involute few teeth difference planetary transmission organization parametrization system by using Pro/TOOLKIT and VC++6.0, and carried on the contact analysis of inner meshing gears by using finite element principle in the simulation software AWE. This can enhance the modernized design level of the few teeth difference planetary transmission, has certain theory value for mechanical design.Firstly, this paper introduced the involute few teeth difference planetary transmission organization and its structural design., analyzed determined parameter, meshed transmission limiting condition and the dislodgement coefficient choice of the few teeth difference planetary transmission organization. This established the theory foundation for following optimization design and CAD/CAE analysis.Secondly, based on traditional design, for the design requirements and the working condition, this paper established a fuzzy reliability model by using principle of fuzzy mathematics and analysis of fuzzy reliability of the involute few teeth difference planetary transmission organization. Accordingly, the fuzzy-optimization model was changed to routine-optimization model. Optimization codes were also programmed to solve the problem by means of another powerful software MATLAB. And then, by comparing the traditional optimization algorithm result and genetic algorithm optimization result, this paper obtained the best result of the few teeth difference planetary transmission optimization design. At the same time, this paper solved the correlation coefficient by using the non-linear mapping ability of artificial neural network. It was feasible that BP neural network mapped non-linear...