Optimization and experiment study on start-up temperature control curve of turbine rotor

The process of engine fast start-up will generate huge thermal stress on rotor, which affects the thermal fatigue life of rotor. Based on the genetic algorithm and structure thermal analysis, the temperature control curve for engine start-up process is parameterized non-monotonically, and the temperature rising control curve of engine rotor on fast start-up process is optimized. The maximum thermal stress on rotor is set as the objective function, the optimal temperature control curve is searched, and the impact of the temperature rising control curve on maximum thermal stress on rotor is investigated. Results show that the maximum thermal stress and start-up time are reduced effectively by the genetic algorithm optimized temperature rising control curve. In order to validate the proposed method, a thermal impact test rig for rotor is established. Comparison between the original temperature rising curve and the optimized curve validates the proposed method. The proposed method could be an effective reference for engine design on the first stage.