CORC  > 北京大学  > 工学院
STATISTICAL EVALUATION OF THE PERFORMANCE IMPACT OF MANUFACTURING VARIATIONS FOR STEAM TURBINES
Xiong, Juntao ; Yang, Jing ; McBean, Ivan ; Havakechian, Said ; Liu, Feng
2016
英文摘要A fast method is presented for evaluating the impact of blade manufacturing variations on the aerodynamic performance of turbomachines. The method consists of two parts. Firstly, an adjoint method is developed to evaluate the aerodynamic sensitivities for multistage turbomachines. This sensitivity information may then be used to perform fast direct Monte Carlo simulations to obtain the statistical distribution of the variations of aerodynamic performances resulting from any given set of manufacturing variations. Secondly, a method is developed to construct reduced-order models for the three-dimensional blades manufacturing variations using the Principal Component Analysis (PCA) method. Monte-Carlo simulations with the adjoint sensitivities can then be applied to the full and individual modes of the blade manufacturing deviations. The proposed method is applied to the last two stages of a low-pressure steam turbine. A total of 29 sets of measured manufacturing deviations of the last-stage rotor blades are used to construct a reduced-order model of the manufacturing variations. The manufacturing variation reduced-order model helps identify origins of the manufacturing deviations connected to the machining processes of the blades. Relations of the statistics of the aerodynamic performance variations such as mean, standard deviation, etc. to the different modes of manufacturing deviations are studied and analyzed.; CPCI-S(ISTP)
会议录ASME Turbo Expo: Turbine Technical Conference and Exposition
语种英语
内容类型会议论文
源URL[http://ir.pku.edu.cn/handle/20.500.11897/460199]  
专题工学院
推荐引用方式
GB/T 7714
Xiong, Juntao,Yang, Jing,McBean, Ivan,et al. STATISTICAL EVALUATION OF THE PERFORMANCE IMPACT OF MANUFACTURING VARIATIONS FOR STEAM TURBINES[C]. 见:.
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。


©版权所有 ©2017 CSpace - Powered by CSpace