Multi-objective Optimal Design Of Cycloidal Pinwheel Reducer Based On Genetic Algorithms

Due to the advantages of high efficiency, heavy overload capacity, light weight and large gear ratio, cycloid drives are widely used in many industries, such as machinery, mine, metallurgy, etc.. The design of cycloid drives involves many factors and the design process is complex. The cycloid drive based on traditional design method is able to meet the performance requirements, but structural parameters of the design are not reasonable. It will result in disadvantages of low efficiency and large volume. The design limitations of these traditional restricted the dissemination and use of cycloid drive. With many effecting factors considered, this paper presented a muti-objective optimal design method of cycloidal pinwheel reducer based on genetic algorithms.The main contents presented in this paper are as follows:1) Based on transmission fearures of cycloid drive, meshing forces of cycloidal pinwheel reducer are analyzed. The calculation formulas of transmission efficiency and volume are deduced. The transmission mode l of cycloidal pinwheel reducer is built. The results can provide theoretical basis for muti-objective optimal design.2) The influes of the parameters on efficiency and volume of cycloidal pinwheel reducer are discussed. Taking high efficiency and small volume as target functions, and seven parameters as design variables, the mathematical model s of single-objective optimal design and muti-objective optimal design of cycloidal pinwheel reducer based on genetic algorithms are built respectively. NSGA-II method is used to the solving of muti-objective optimal design. The flow of genetic algorithms is given. Optimal design software of cycloidal pinwheel reducer is developed. It can provide important references to practical engineering application of cycloid drives.3) Taking XW3 cycloidal pinwheel reducer as an example, the influes of design variables on objective functions are analyzed. Taking high efficiency and small volume as target functions, single-objective optimal design and muti-objective optimal design of cycloidal pinwheel reducer based on genetic algorithms are calculated. A comparison study of optimal design results with original data is also carried out. The results show different optimal design method is applicabl e to different practical demand. The key to solve optimal problem is targeted selection of optimization schemes. The research on optimal design based on genetic algorithm has important practical significance and theory value.