局部进气涡轮优化设计研究  

Investigation of Optimization Design of Partial Admission Turbine

作　　者：陈帝云 韩吉昂[1] 钟兢军 CHEN Di-Yun;HAN Ji-Ang;ZHONG Jing-Jun(Marine Engineering College,Dalian Maritime University,Dalian 116026,China;Merchant Marine College,Shanghai Maritime University,Shanghai 201306,China)

机构地区：[1]大连海事大学轮机工程学院,大连116026 [2]上海海事大学商船学院,上海201306

出　　处：《工程热物理学报》2020年第4期829-839,共11页Journal of Engineering Thermophysics

基　　金：辽宁省高等学校创新团队资助项目(No.LT2015004)。

摘　　要：为了能够有效优化局部进气涡轮性能,通过对现有软件模块进行二次开发,并利用人工神经网络结合粒子群-遗传混合算法,建立了局部进气涡轮气动优化设计平台,分别在全周进气单流道和局部进气环境下对涡轮进行了分步优化。结果表明:在全周进气单流道条件下,通过对各排动静叶进出口几何角、安装角和第一级动叶积叠规律的优化,改善了涡轮内部流动状态,使涡轮总静效率在全周进气单流道条件下累计提升了3.24%;通过对全周进气单流道优化结果进行局部进气构型,并进一步在局部进气环境下对第一级动叶叶型进行优化,消除了第一级动叶排根部因局部进气气动参数周向分布不均匀而导致的流动分离,使优化后的局部进气涡轮总静效率较原型累计提升了3.72%。In order to optimize the performance of partial admission turbine effectively,By means of secondary development of existing software modules and a combined use of artificial neural network and a hybrid optimization algorithms based on particle swarm optimization and genetic algorithm,an aerodynamic numerical optimization platform for partial admission turbine was constructed.Under full admission single passage and partial admission environment,the turbine were optimized step by step.The results show that under full admission single passage environment,with the optimization of in/out blade angles and stagger angles of each blade row and the stacking law of first stage rotor,the internal flow state is improved and the total to static efficiency is cumulatively increased by3.24%.After that,the optimized full admission single passage model was constructed to partial admission model and the blade profile of first stage rotor was then optimized under partial admission environment,the flow separation caused by circumferential non-uniform aerodynamic parameters distribution under partial admission condition is eliminated and the total to static efficiency of the optimized partial admission turbine is increased by 3.72%in comparison with the prototype.

关 键 词：局部进气涡轮 优化设计平台 智能优化算法 性能优化 

分 类 号：V236[航空宇航科学与技术—航空宇航推进理论与工程]