Optimal Design for Rear Drive Axle House Based on Fuzzy Reliability Robust Analysis
Zhijun Wu, Lihua Zhang · Advances in engineering research/Advances in Engineering Research · 2015
In this paper, the rear drive axle house of Dong Fang Hong 40 tractor was selected as the research object, through Finite Element Analysis by ANSYS Workbench, critical sections and conditions were obtained.Based on results by FEA, multi-objective fuzzy reliability robustness design model of rear drive axle house was built.Applying genetic algorithm to solve the design model, multi-objective fuzzy reliability robustness design model was changed into several single-objective fuzzy reliability design models.Though adding the deflection constraint, static strength constraint, fatigue strength constraint, dimension constraint and fuzzy boundary condition constraint, the optimal design parameters were obtained.Compared with the original design, the mass of axis house was reduced by 20.54%, the sensitivity was also cut down by 33.08%, and the reliability and robustness were also improved.Combined with genetic algorithm, the fuzzy reliability robustness design method has obvious advantages than traditional methods, and the optimal results have been successfully applied.