汽轮机转子动叶片装配序列智能优化

针对某工厂因动叶片装配序列存在 “不平衡量值大、叶片质量或质径积形成的聚集及特殊叶片排序不稳定”问题,而导致动叶片安装时出现动叶片中间体及围带间间隙超差等现象,在简要分析动叶片装配和称重原理的基础上,结合遗传算法的全局优化和快速收敛的特点,提出了动叶片安装排序的智能优化方法。经统计某级动叶片装配间隙数据及转子动平衡测试数据,结果表明:优化算法的采用,使整级动叶片一次性装配间隙合格率由68.3%提升至86.6%,转子动平衡配重质量块减少约49.2%,在3000r/min时,转子轴颈振动值降低约25.2%。 

Intelligent optimization of turbine rotor blade assembly sequence

There are some problems such as "large unbalance value,aggregations of blades mass or mass-radins product and unstable assembly sequence of special blade" in rotor blades assembly sequences in a factory,which lead to ultra gaps arising between intermediates and shroud rings during the rotor blades installation.Based on a brief analysis of rotor blades assembly and weighing principle,an intelligent optimization method of rotor blades installation sort was presented in combination with the overall optimization and rapid convergence of genetic algorithm.According to fit-up gaps of a certain grade rotor blade and test data of rotor dynamic balance,the optimization algorithm improved the qualification rate of fit-up gap of the whole grade blade from 68.3％ to 86.6％,reduced the rotor balancing counterweight block by about 49.2％,and decreased the journal vibration value by about 25.2％when the rotor rotated at 3 000 r/min.