基于粒子群算法的多级低压涡轮一维气动优化设计方法

推进技术 ›› 2013, Vol. 34 ›› Issue (8): 1042-1049.

基于粒子群算法的多级低压涡轮一维气动优化设计方法

姚李超¹,邹正平¹,张伟昊¹,周琨¹,王雷²

北京航空航天大学能源与动力工程学院航空发动机气动热力国防重点实验室,北京 100191;北京航空航天大学能源与动力工程学院航空发动机气动热力国防重点实验室,北京 100191;北京航空航天大学能源与动力工程学院航空发动机气动热力国防重点实验室,北京 100191;北京航空航天大学能源与动力工程学院航空发动机气动热力国防重点实验室,北京 100191;中国航空工业集团公司沈阳发动机设计研究所涡轮室,辽宁沈阳 110015

发布日期:2021-08-15
作者简介:姚李超(1989—),男,硕士生,研究领域为叶轮机气体动力学及气动设计。E-mail:ylcpersonal@sina.com

An Optimal Method of One-Dimensional Design for Multistage Low Pressure Turbines Based on Particle Swarm Optimization

National Key Laboratory of Science and Technology on Aero-Engines, School of Jet Propulsion, Beijing University of Aeronautics and Astronautics, Beijing 100191, China;National Key Laboratory of Science and Technology on Aero-Engines, School of Jet Propulsion, Beijing University of Aeronautics and Astronautics, Beijing 100191, China;National Key Laboratory of Science and Technology on Aero-Engines, School of Jet Propulsion, Beijing University of Aeronautics and Astronautics, Beijing 100191, China;National Key Laboratory of Science and Technology on Aero-Engines, School of Jet Propulsion, Beijing University of Aeronautics and Astronautics, Beijing 100191, China;Turbine Division, AVIC Shenyang Aero-Engine Design & Research Institute, Shenyang 110015, China

Published:2021-08-15

摘要/Abstract

摘要： 为探究涡轮高效设计技术,从低维优化层面出发,提出了一种基于粒子群优化算法的多级低压涡轮一维设计和优化方法。该方法以涡轮效率为目标,通过建立涡轮子午流道形式以及气动特性等约束条件将涡轮一维设计转化成包含约束限制的极大值优化问题。在验证粒子群算法优化性能的基础上发展了多级低压涡轮一维气动优化设计程序,该程序通过优化地选取涡轮各级的多个设计变量,有效地生成满足多个约束条件的级最佳速度三角形以及最佳初步子午流道形式。利用该程序完成了原型低压涡轮的优化改型工作,三维数值模拟结果表明,优化改型方案在设计点和非设计点的气动性能均获得了不同程度的改善。 

关键词: 低维优化;多级低压涡轮;一维设计;子午流道;粒子群优化算法;改型设计;气动性能 

Abstract: In order to explore an efficient designing technique for turbines, a method of one-dimensional design for multistage low pressure turbines was presented, from the view of low dimensional optimization. Based on the particle swarm optimization(PSO) theory,the method transfers the one-dimensional design into constrained maximum optimization by taking the efficiency of the turbine as objective and a series of functions concerning the meridional channel and aerodynamic characteristics as constraints. The PSO was verified effectively based on which a program for optimized design of multistage low pressure turbines was developed. By selecting some design parameters of each turbine stage optimally, this program can generate an optimized velocity triangle of each stage and a preliminary meridional channel that satisfies the constraint conditions effectively. Furthermore, an improvement design of an original low pressure turbine was accomplished using the program. Based on the three dimensional simulation, this optimized scheme improves the performance to varying degrees in terms of design point and off-design point. 

Key words: Low dimensional optimization; Multistage low pressure turbines; One-dimensional design; Meridional channel; Particle swarm optimization; Improvement design; Aerodynamic performance

姚李超,邹正平,张伟昊,周琨,王雷. 基于粒子群算法的多级低压涡轮一维气动优化设计方法[J]. 推进技术, 2013, 34(8): 1042-1049.

YAO Li-chao¹, ZOU Zheng-ping¹, ZHANG Wei-hao¹, ZHOU Kun¹, WANG Lei². An Optimal Method of One-Dimensional Design for Multistage Low Pressure Turbines Based on Particle Swarm Optimization[J]. Journal of Propulsion Technology, 2013, 34(8): 1042-1049.

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