Wall thickness evaluation of single-crystal hollow blades by eddy current sensor

被引:18
作者
Le Bihan, Y [1 ]
Joubert, PY [1 ]
Placko, D [1 ]
机构
[1] Ecole Normale Super, Lab Elect Signaux & Robot, F-94235 Cachan, France
关键词
hollow blade; wall thickness evaluation; eddy current sensor; neural network;
D O I
10.1016/S0963-8695(00)00074-8
中图分类号
TB3 [工程材料学];
学科分类号
0805 ; 080502 ;
摘要
Advanced high-pressure turbine blades of jet engines are hollow and monocrystalline. The external wall thickness of these blades has to be checked systematically and quickly after manufacturing in order to guarantee the blade strength. Thickness evaluation is made difficult by the presence of internal partitions and by the crystalline anisotropy of the superalloy used in blade manufacturing. In this paper, the authors present the advantages of the eddy current (EC) technique in comparison to other non-destructive evaluation (NDE) techniques for wall thickness evaluation. A dedicated EC sensor was developed and implemented. The thickness evaluation was carried out with a neural network inverse model, and the results show the high accuracy and reliability of the proposed method. (C) 2001 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:363 / 368
页数:6
相关论文
共 19 条
[1]  
*AFNOR, 1993, CONC PIEC MET MOUL
[2]  
[Anonymous], 1995, GUID EXPR UNC MEAS
[3]  
BARRETT CS, 1957, STRUCTURE METALS
[4]  
CARL V, 1998, P 7 EUR C NOND TEST, P1918
[5]  
Carl V., 1998, 7 EUR C NOND TEST CO, P2658
[6]   TRAINING FEEDFORWARD NETWORKS WITH THE MARQUARDT ALGORITHM [J].
HAGAN, MT ;
MENHAJ, MB .
IEEE TRANSACTIONS ON NEURAL NETWORKS, 1994, 5 (06) :989-993
[7]   MULTILAYER FEEDFORWARD NETWORKS ARE UNIVERSAL APPROXIMATORS [J].
HORNIK, K ;
STINCHCOMBE, M ;
WHITE, H .
NEURAL NETWORKS, 1989, 2 (05) :359-366
[8]  
KILLIAN D, 1999, P INT S COMP TOM IND, P1
[9]   Eddy current technique applied to the nondestructive evaluation of turbine blade wall thickness [J].
Le Bihan, Y ;
Joubert, PY ;
Placko, D .
NONDESTRUCTIVE EVALUATION OF AGING AIRCRAFT, AIRPORTS, AND AEROSPACE HARDWARE IV, 2000, 3994 :145-153
[10]  
LEBIHAN Y, 2000, Patent No. 0008368