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中文摘要：
为探索非轴对称端壁对对转压气机流场影响机理,采用端壁造型进一步提高对转压气机性能,以某对转压气机双排转子为研究对象,应用人工神经网络与遗传算法在整机环境下先后对转子1（R1）和转子2（R2）进行了非轴对称端壁造型优化,并对比分析了优化前后流场结构及性能.结果表明：在优化工况点,非轴对称端壁改变了各转子轮毂附近的静压分布,减小了周向静压梯度,降低了二次流强度;同时改变了各转子沿径向的通流能力,提高了各转子靠近尖部区域的效率;最终对转压气机整机效率上升了0.78%.
英文摘要：
In order to explore the effects of non-axisymmetric endwall on counter-rotating compressor,taking the rotors of a counter-rotating compressor as research object,based on artificial neural network and genetic algorithm,the optimization of non-axisymmetric endwall contouring was carried out successively on rotor 1（R1）and rotor 2（R2）in multistage environment.The changes of flow field and performance before and after optimization were compared and analyzed.The purpose was to further improve the performance of the counterrotating compressor with implementation of non-axisymmetric endwall contouring.The results show that on the optimization condition point,the non-axisymmetric endwall changes the static pressure distribution near rotors＇hub endwall,decreases the circumferential static pressure gradient,and reduces the intensity of secondary flow;meanwhile it also changes the flow capacity along the radial span of rotors,and improves the efficiency of upper area;finally the efficiency of the counter-rotating compressor is increased by 0.78%.
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