Identification of crystal orientation for turbine blades with anisotropy materials  

作　　者：Yuanqiu TAN Chaoping ZANG Biao ZHOU Xiaowei WANG E.P.PETROV 

机构地区：[1]Jiangsu Province Key Laboratory of Aerospace Power System, Nanjing University of Aeronautics and Astronautics [2]School of Engineering of Informatics, University of Sussex

出　　处：《Chinese Journal of Aeronautics》2018年第2期410-418,共9页中国航空学报（英文版）

基　　金：co-supported by the National Natural Science Foundation of China (Nos. 51405460, 11372128 and 51175244);National Safety Academic Foundation of China (No. U1730129);the Collaborative Innovation Center of Advanced Aero-Engine, Jiangsu Province Key Laboratory of Aerospace Power System,the Key Laboratory of Aero-Engine Thermal Environment and Structure, Ministry of Industry and Information Technology

摘　　要：A novel approach to identify the crystal orientation of turbine blades with anisotropy materials is proposed. Based on enhanced mode basis, with the main advantages of its efficiency,accuracy and general applicability, the blade vibration mode of each order is linearly constructed by several specified mode shapes, which are obtained from the considered turbine blade with specified crystal orientations correspondingly. Then, a surrogate model based on Kriging method is introduced for constructing the condensed perturbed matrix of stiffness in order to improve the efficiency even further. The constructed surrogate model allows to perform the modal analysis of turbine blades with arbitrary crystal orientations in higher efficiency, due to the fact that the elements of condensed perturbed matrix of stiffness are considered in construction of the surrogate model rather than concerning the perturbation of all the elements of the initial stiffness matrix for the blade. Genetic algorithm is finally employed to optimize the defined fitness functions in order to identify the crystal orientation angles of turbine blades. Several corresponding examples demonstrated the accuracy, efficiency and general applicability of the proposed method.A novel approach to identify the crystal orientation of turbine blades with anisotropy materials is proposed. Based on enhanced mode basis, with the main advantages of its efficiency,accuracy and general applicability, the blade vibration mode of each order is linearly constructed by several specified mode shapes, which are obtained from the considered turbine blade with specified crystal orientations correspondingly. Then, a surrogate model based on Kriging method is introduced for constructing the condensed perturbed matrix of stiffness in order to improve the efficiency even further. The constructed surrogate model allows to perform the modal analysis of turbine blades with arbitrary crystal orientations in higher efficiency, due to the fact that the elements of condensed perturbed matrix of stiffness are considered in construction of the surrogate model rather than concerning the perturbation of all the elements of the initial stiffness matrix for the blade. Genetic algorithm is finally employed to optimize the defined fitness functions in order to identify the crystal orientation angles of turbine blades. Several corresponding examples demonstrated the accuracy, efficiency and general applicability of the proposed method.

关 键 词：Anisotropy materials Crystal orientation Genetic algorithm IDENTIFICATION Surrogate model Turbine blade 

分 类 号：TH140[一般工业技术—材料科学与工程]