Evaluation of Delamination Damage on Composite Plates using an Artificial Neural Network for the Radiographic Image Analysis

被引：68
作者：
De Albuquerque, Victor Hugo C.
Tavares, Joao Manuel R. S. [1 ]
Durao, Luis M. P. [2 ]
机构：
[1] Univ Porto, Fac Engn, Inst Engn Mecan & Gestao Ind, Dept Engn Mecan, P-4200465 Oporto, Portugal
[2] ISEP, DEM, CIDEM, P-4200072 Oporto, Portugal
来源：
JOURNAL OF COMPOSITE MATERIALS | 2010年 / 44卷 / 09期
关键词：
drilling; image segmentation; image analysis; maximum thrust force; delamination factors; non-destructive testing; HOLE MACHINING DEFECTS; PILOT HOLE; MICROSTRUCTURE EVOLUTION; MECHANICAL-PROPERTIES; DRILL; PROPAGATION; PREDICTION; PARAMETERS; MODELS; ANGLE;
D O I：
10.1177/0021998309351244
中图分类号：
TB33 [复合材料];
学科分类号：
摘要：
Drilling carbon/epoxy laminates is a common operation in manufacturing and assembly. However, it is necessary to adapt the drilling operations to the drilling tools correctly to avoid the high risk of delamination. Delamination can severely affect the mechanical properties of the parts produced. Production of high quality holes with minimal damage is a key challenge. In this article, delamination caused in laminate plates by drilling is evaluated from radiographic images. To accomplish this goal, a novel solution based on an artificial neural network is employed in the analysis of the radiographic images.
引用
收藏
页码：1139 / 1159
页数：21
相关论文
共 50 条
[1]  
Abdelhay A. M., 2002, Egyptian Journal of Solids, V25, P229
[2]  
Abrate S., 1997, Composites Engineering Handbook, P777
[3]  
[Anonymous], NEURAL NETWORKS GENE
[4]  
Biernacki R., 2006, Materials Science, V12, P11
[5]   Some experimental investigations in the drilling of carbon fiber-reinforced plastic (CFRP) composite laminates [J].
Chen, WC .
INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 1997, 37 (08) :1097-1108
[6]   A novel approach based on digital image analysis to evaluate the delamination factor after drilling composite laminates [J].
Davim, J. Paulo ;
Rubio, J. Campos ;
Abrao, A. M. .
COMPOSITES SCIENCE AND TECHNOLOGY, 2007, 67 (09) :1939-1945
[7]   A new solution for automatic microstructures analysis from images based on a backpropagation artificial neural network [J].
de Albuquerque, Victor Hugo C. ;
Cortez, Paulo C. ;
de Alexandria, Auzuir R. ;
Tavares, Joao Manuel R. S. .
NONDESTRUCTIVE TESTING AND EVALUATION, 2008, 23 (04) :273-283
[8]   Evaluation of multilayer perceptron and self-organizing map neural network topologies applied on microstructure segmentation from metallographic images [J].
de Albuquerque, Victor Hugo C. ;
de Alexandria, Auzuir Ripardo ;
Cortez, Paulo Cesar ;
Tavares, Joao Manuel R. S. .
NDT & E INTERNATIONAL, 2009, 42 (07) :644-651
[9]   Machining parameters for an intelligent machining system for composite laminates [J].
Dharan, CKH ;
Won, MS .
INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 2000, 40 (03) :415-426
[10]  
Dura o LM., 2008, ELECT LETT COMPUT VI, V7, P11, DOI DOI 10.5565/rev/elcvia.187
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