There are some problems such as “large unbalance value
aggregations of blades mass or massradins 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 fitup gaps of a certain grade rotor blade and test data of rotor dynamic balance
the optimization algorithm improved the qualification rate of fitup gap of the whole grade blade from 683% to 866%
reduced the rotor balancing counterweight block by about 492%
and decreased the journal vibration value by about 252% when the rotor rotated at 3000r/min.