基于磨削面齿轮工艺参数的分析,在满足产品质量要求和磨削加工条件等设计约束的前提下,建立了以磨齿效率和表面质量为目标函数的多目标优化数学模型。将内点罚函数法与遗传算法相结合用于该数学模型的优化计算,获得了三组最优的磨削用量方案且三组方案均能使磨齿效率和表面质量得到较大提高。根据优化后的结果设计并完成了工艺实验,实验结果也验证了该方法的正确性、有效性和实用性。
Based on the analyses of the grinding parameters of face gears,under the conditions of meeting product quality requirements and other design constrains,a multi-objective optimization mathematical model was established,which took grinding efficiency and surface quality as the objective function.The interior penalty function method and genetic algorithm were used to solve the multi-objective optimization model,and three groups of the best scheme of grinding conditions were obtained,that might make the grinding efficiency and surface quality be improved.Experiments were performed according to optimized results.The effectiveness and practicability of this method were validated by analyses and applications.