1、 图书分类号： 密 级： 毕业设计(论文) 基于遗传算法的齿轮减速器模型优化设计基于遗传算法的齿轮减速器模型优化设计 OPTIMAL DESIGN FOR GEAR REDUCER BASED ON GENETIC ALGORITHM 学生姓名 学院名称 专业名称 指导教师 20*年 5 月 27 日 摘要 齿轮减速器是原动机和工作机之间的减速传动装置，它广泛应用于日常生活和生产 中，但传统设计中仍存在着体积过大、效率过低的问题，因此有必要对齿轮减速器进行优 化设计。针对一级齿轮减速器，选取合理的设计变量，以减速器体积最小为目标建立优化 设计的数学模型，并根据齿宽系数、模数、齿轮的应力和轴的弯
2、曲强度等约束条件来确定 约束函数。采用遗传算法对模型进行优化，经过实数交叉、高斯变异和可行性规则选择反 复循环得出优化后的参数，经过机械校核得出优化出的参数是满足约束条件，实现了齿轮 减速器体积最小的优化目标。 关键词关键词 减速器；遗传算法；优化设计； Abstract Gear reducer is the transmission device for speed deceleration, connecting prime motor and working machine，which has been widely used in our daily life and product
3、ion.But there still exist some problems in traditional design and manufacture, such as over-large volume and low efficiency. Therefore it is necessary to optimize the design of gear reducer. After selecting reasonable design variables to the gear reducer model, optimum mathematical model is set up a
4、iming at the least volume. And the constraint functions are acquired based on constraint condition, such as tooth width coefficient, stress conditions of gears, bending strength of shaft, etc. Then, genetic algorithm is adopted to optimize the model, after repeated cycle of arithmetic crossover and Gaussian mutation, selection based on feasible solution.Optimized parameters of the gear reducer is obtained realizing the objective of the least optimized volume.By mechanical calculation,
