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Fuzzy Reliability-Optimization Design for Differential Mechanism Based on Genetic Algorithm

机译:基于遗传算法的微分机制模糊可靠性优化设计

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To the widely used simple symmetric bevel gear differential, a fuzzy reliability-optimization mathematical model of a pair of bevel gear transmission is established, which used the bevel gear transmission as the research object, used the smallest volume of the gear transmission as the objective function, and used the end face module, the number of teeth and the coefficient of tooth face width as the design variables. Considering the randomness and fuzziness of the design parameters, an genetic algorithm control scheme was proposed for the optimal design, the numerical simulation results show that the volume of the gear transmission can be decreased by 3.36%, and the optimization design algorithm is more corresponded to engineering practice.
机译:为了广泛使用的简单对称锥齿轮差异,建立了一对锥齿轮传输的模糊可靠性优化数学模型,其使用锥齿轮传输作为研究对象,使用齿轮传输的最小体积作为目标函数,并使用了端面模块,齿数和齿面宽度的系数作为设计变量。考虑到设计参数的随机性和模糊性,提出了一种遗传算法控制方案,用于最佳设计,数值模拟结果表明,齿轮传输的体积可以降低3.36%,并且优化设计算法更符合工程实践。

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