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为实现航空发动机装机状态下转子动平衡功能,利用影响系数配平法结合遗传算法建立转子动平衡优化算法,该算法可用于计算真实航空发动机转子动平衡方案。通过发动机低压转子单面配平试验数据验证所建立动平衡优化算法的有效性;最终,利用该算法进行航空发动机转子动平衡方案计算,结果显示,单次配平可将发动机各测点在各转速下的最大振动值降低55.3%,表明其工程应用中的有效性。该算法可利用航线飞行中记录的发动机振动数据进行低压转子动平衡,使低压转子振动始终维持在较小水平,对提高发动机可靠性及使用寿命具有重要意义。
In order to realize the rotor balancing function of the aeroengine under the condition of aeroengine installed, a rotor balancing optimization algorithm is established by using the influence coefficient matching method and the genetic algorithm. The algorithm can be used to calculate the rotor balancing solution of aeroengine. The validity of the proposed dynamic balance optimization algorithm is verified by the single-sided low-pressure rotor trim test data. Finally, the algorithm is used to calculate the dynamic balance of the aero-engine rotor. The results show that a single trim can be used to test the engine at various speeds The maximum vibration value is reduced by 55.3%, indicating the effectiveness of its engineering applications. The algorithm can make use of the engine vibration data recorded in the course of flight to carry out the low-pressure rotor dynamic balance so that the vibration of the low-pressure rotor is always kept at a relatively small level, which is of great significance for improving the reliability and service life of the engine.