基于模糊优化轮边减速系统可靠性优化分析

Optimization Design of Wheel Reducer System Reliability Based on Fuzzy Optimization

针对矿用汽车轮边减速系统中,第一级行星齿轮传动系统可靠性很高,而第二级轮边减速齿轮传动系统的可靠度较低的问题。运用模糊优化设计理论,结合可靠性优化设计,将体积最小和可靠性最高作为优化目标,对两级轮边减速器进行优化。同时根据遗传算法特点,利用遗传算法进行优化运算,对于权重系数的选择和搜索空间都有明显的改善。与传统优化结果相比,模糊优化的结果对轮边减速系统的可靠性有进一步的提高。第一级传动系统体积减小了9.36%,第二级传动系统可靠度提高了约为2.3%,整个传动系统的可靠度提高了约2%。

In view of the mining vehicle wheel reduction system,the first level planetary gear transmission system reliability is very high and the reliability of the second stage gear drive system is lower. Based on the reliability results,fuzzy theory has been applied to the Taguchi method. Using the theory of fuzzy optimization design and reliability optimization design,the minimum and reliability of the optimization objective,the optimization of the two stage wheel hub reducer. According to the characteristics of genetic algorithm,genetic algorithm is used to optimize the calculation,the weight coefficient of the selection and search space are significantly improved. The results of robust design were compared with the reliability optimization design results and they are of great coherence ,which has proved the correctness of fuzzy optimization results and been some theory guarantee to the optimization results. The first level transmission system is further reduced by 9.36% ,the reliability of the second level transmission system is further improved by about 2.3%,and the reliability of the whole transmission system is improved by about 2%.