跨声速压气机转子多目标优化设计

发布时间：2018-06-25 06:50

本文选题：跨声速压气机 + 多目标优化　；参考：《大连海事大学学报》2017年02期

【摘要】：为提高某型跨声速压气机转子的总性能,基于全三维优化设计平台,采用人工神经网络与遗传算法相结合的方法,对一跨声速压气机转子进行三维叶型多目标优化设计,优化目标是在流量基本不变的基础上提高转子的压比和效率.结果表明,设计点时,与原型转子相比,优化方案1(opt1)效率提高0.81%,压比提高1.55%;优化方案2(opt2)效率提高0.36%,压比提高3.09%.同时,opt1与opt2的喘振裕度与原型转子相比,分别增加1.58%和0.89%.因此,减小50%叶高并增大95%叶高叶型的安装角,结合调整吸力面前、尾缘楔角可有效控制跨声速压气机转子叶片表面载荷分布,进而提高转子总性能.
[Abstract]:In order to improve the overall performance of the rotor of a transonic compressor, a multi-objective optimization design of a transonic compressor rotor is carried out by using the method of combining artificial neural network and genetic algorithm based on the full three-dimensional optimization design platform. The objective of the optimization is to improve the pressure ratio and efficiency of the rotor on the basis of the basic invariance of the flow rate. The results show that, compared with the prototype rotor, the efficiency of the optimization scheme 1 (opt1) is increased by 0.81and the pressure ratio is increased by 1.550.The efficiency of the optimization scheme 2 (opt2) is increased by 0.366and the pressure ratio is increased by 3.09. At the same time, the surge margin of OPT1 and opt2 increased by 1.58% and 0.89%, respectively, compared with the prototype rotor. Therefore, reducing 50% blade height and increasing the mounting angle of 95% blade height, combined with adjusting suction front, the tail edge wedge angle can effectively control the load distribution on the rotor blade surface of transonic compressor, and then improve the total performance of the rotor.
【作者单位】：大连海事大学轮机工程学院;
【基金】：国家自然科学基金重点资助项目(51436002) 辽宁省高等学校创新团队项目(LT2015004) 中央高校基本科研业务费专项资金资助项目(3132016334)
【分类号】：TH45

【相似文献】