摘要
以双离合变速器齿轮传动系统为研究对象,运用Romax软件,建立了齿轮传动系统虚拟样机模型,分析了修形前1挡齿轮的承载能力、接触斑点和传动误差;基于斜齿轮螺旋线修形和齿廓修形的理论基础,利用最优拉丁抽样原理对1挡齿轮三维综合修形参数进行设计分配,运用神经网络遗传算法寻优,得到最优三维修形参数组合。仿真计算结果表明,齿轮三维修形可以较大幅度的降低齿轮接触应力,优化齿轮接触斑点,降低啮合传动误差。优化前后结果对比,也能证明文中所用方法的有效性,对变速器齿轮设计优化方面具有一定借鉴作用。
Taking the double clutch transmission gear system as the research object,the virtual prototype model of the gear transmission system is established by using Romax software. The bearing capacity,contact spot and transmission error of the unmodified first gear are analyzed. Based on the theoretical basis of helical gear axial modification and tooth profile modification,the optimum three-dimensional comprehensive modification parameters of the first gear are designed by applying the optimal Latin sampling principle. Then,the optimal three-dimensional modification parameters are obtained with the help of the neural network and genetic algorithm. The simulating calculation results indicated that the three-dimensional modification of the gear can greatly reduce the gear contact stress,optimize the gear contact spots and reduce the meshing transmission error.The comparison of the results before and after optimization also proved the effectiveness of this method and it can be used as a reference for optimum design of transmission gears.
作者
周新建
毛乐
李广兴
Zhou Xinjian;Mao Le;Li Guangxing(School of Electromechanical and Vehicle Engineering,East China Jiaotong University,Nanchang 330013,China)
出处
《机械传动》
CSCD
北大核心
2018年第8期28-33,111,共7页
Journal of Mechanical Transmission
基金
江西省科技计划项目(20151BBE50035)
DCT双离合自动变速器振动噪声识别与控制(20151BBE50035)
关键词
变速器
三维修形
神经网络
遗传算法
传动误差
Transmission
3D modification
Neural network
Genetic algorithm
Transmission error
