Assembly Process Parameters Optimization of Turbine Engine Rotor System Based on Non-dominated Sorting Genetic Algorithm

doi:10.3969/j.issn.1000-1093.2021.05.022

Abstract

Abstract: An optimization determination method of different matrices of assembly angle was proposed to explore the optimal method for assembly process parameters to guarantee the dynamic balance of rotor system and grasp the changing law of dynamic balance at high temperature. According to the thermal-structure dynamic balance theory model at high temperature and the nonlinear change of material characteristics with temperature, a analytical equation is established for calculating the temperature change of dynamic balance of rotor system with temperature at high temperature. Then, according to the difference between system unbalance and offset torque under the different assembly parameters, the NSGA-Ⅱbased solution is presented by converting the high temperature dynamic balance optimization into multi-objective and multivariable optimization. Taking the assembly of high-pressure rotor system of a missile turbine engine as an example, the proposed method was verified in 600 ℃ working environment, and the optimal assembly angle matrix was obtained, which minimizes the influence of high temperature on the dynamic balance of rotor system and improves the assembly quality. The results show that the assembly angles have great influence on the dynamic balance of rotor system at high temperature, and the influence of high temperature conditions on the dynamic balance of multi-part rotor system can be significantly reduced through the optimization of assembly parameters.

Key words: turboengine, rotorsystem, assemblyangle, unbalance, offsettorque, non-dominatedsortinggeneticalgorithm

CLC Number:

TJ760.5

FENG Kuikui， ZHANG Faping， WANG Wuhong， ZHANG Wenjie， ZHANG Tianhui. Assembly Process Parameters Optimization of Turbine Engine Rotor System Based on Non-dominated Sorting Genetic Algorithm[J]. Acta Armamentarii, 2021, 42(5): 1092-1100.

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