Benefits of collaborative tuning of blade sectional profiles and their spatial positions for axial flow compressors

摘要：

　　A collaborative variation of axial flow compressor blade sectional profiles and their stacking lines are realized and significant potential optimization design benefits are obtained.This is facilitated by an efficient global optimization method,where the improved CCEA(Cooperative Co-Evolution Algorithm)optimizer and adaptively updated kriging surrogate model are incorporated.The former divides the high-dimension blade design problem into readily-solved ones; the latter treats the high-nonlinearity of blade shape optimization,and it enables the optimizer to find the global solution rather than being trapped around the local optimum.Both sectional profiles and their relative positions are varied.The spatial position of each profile varies in term of sweep and lean,i.e.it moves with both axial and angular displacement.To look at the benefits and cost for a rise of design freedom,we respectively used 3 sections(i.e.hub,50%span,and shroud)and 4 sections(.i.e.hub,33%span,67%span and shroud)in sectional profile parameterization.The total optimization variables for both are respectively 22 and 38.Blade design optimization is conducted for NASA Rotor67 at design flow on a single workstation of Dell 7500 with 2 processors.Performance gains are significant: At design flow,overall efficiency and pressure ratio are increased respectively by 1.27%and 6.53%for 3 sectional profiles of parameterization,they are increased respectively by 1.42%and 7.24%with 4 sectional profiles of parameterization; the off-design performance are also improved over the entire flow range.Apparently the developed method is well-suited for dealing with the high-dimension and highly nonlinear blade design optimization with limited computation resources; a more flexible blade shape tuning permits more optimization benefits.

关键词： Axial flow compressor Blade optimization Sectional profiles Stacking line CCEA Adaptive surrogate model Global optimization

作者: Peng Song Jinju Sun

作者单位: School of Energy and Power Engineering,Xian Jiaotong University,Xian,Shaan Xi Province,710049,China;Collaborative Innovation Center for Advance Aero-Engine(CICAAE),37 Xueyuan Road,Beijing,100191,China

会议类型: 国际会议

会议名称: The 5th International Symposium on Jet Propulsion and Power Engineering(第五届喷气推进与动力工程国际会议)

会议地点: 北京

会议语种:英文

页码: 1-8

在线出版日期: 2014-09-15（万方平台首次上网日期，不代表论文的发表时间）