Holographic Techniques for Defect Detection in Composite Materials

2009 ◽  
pp. 26-26-19 ◽  
Author(s):  
GE Maddux ◽  
GP Sendeckyj
Keyword(s):  
Composite Materials ◽  
Defect Detection

A deep transfer learning model for inclusion defect detection of aeronautics composite materials

2020 ◽  
Vol 252 ◽  
pp. 112681 ◽  
Author(s):  
Yanfeng Gong ◽  
Hongliang Shao ◽  
Jun Luo ◽  
Zhixue Li
Keyword(s):  
Composite Materials ◽  
Transfer Learning ◽  
Defect Detection ◽  
Learning Model

Automatic ultrasonic inspection for internal defect detection in composite materials

2008 ◽  
Vol 41 (2) ◽  
pp. 145-154 ◽  
Author(s):  
T. D’Orazio ◽  
M. Leo ◽  
A. Distante ◽  
C. Guaragnella ◽  
V. Pianese ◽  
...  
Keyword(s):  
Composite Materials ◽  
Defect Detection ◽  
Ultrasonic Inspection ◽  
Internal Defect ◽  
Internal Defect Detection

scholarly journals Методи діагностування дефектів деталей авіаційних двигунів з композиційних матеріалів

2021 ◽  
pp. 102-109
Author(s):  
Володимир Олександрович Пальчиковський ◽  
Андрій Володимирович Морозов ◽  
Юрій Іванович Торба
Keyword(s):  
Acoustic Emission ◽  
Composite Materials ◽  
Defect Detection ◽  
Static Load ◽  
Thermal Testing ◽  
Local Defect ◽  
Acoustic Emission Method ◽  
Emission Method ◽  
Engine Operation ◽  
X Ray

The key priority in improving the technical and economic performance of gas turbine engines lays in the use of new composite materials. The use of composites in the components of critical load-carrying structures operating under static and dynamic loads during long service lives determines the need to predict the component lives. Also, in order to increase the safety of engine operation and improve the parts manufacturing process, timely defect detection in such structures is of great importance. This article is devoted to the detection of the composite parts defects and damages that occur at different stages of manufacturing and operation. The aim is to investigate the existing methods of non-destructive testing of composite materials, describe their functional concept, and determine the field of their application. The article considers acoustic, thermal, optical, and radiation testing methods. Among the acoustic methods, the phased array method is selected as the most informative and multipurpose. The acoustic emission method is also selected; it will allow real-time monitoring of defect growth during testing. Out of thermal methods, the vibrothermography method was selected as the most advanced among the thermographic sub-methods. It allows using the phenomenon of local defect resonance and thus ensures effective defect detection. Shearography is selected for investigation out of optical methods. The special aspects of the use of X-ray methods are considered through the example of X-ray computed tomography. It is concluded that the approach combining several methods can significantly increase the efficiency of defect detecting and help to assess their criticality. Active thermal testing is well suited for fast scanning of large-sized parts and searching for areas of defect accumulation. In the following, local methods, such as impedance, vibrothermography, or one of the ultrasonic, should be used. To measure deformations under static load, it is a good practice to use shearography. To identify progressive defects under static load, it makes sense to use the acoustic emission method.

scholarly journals Real time defect detection during composite layup via Tactile Shape Sensing

2021 ◽  
Vol 28 (1) ◽  
pp. 1-10
Author(s):  
Michael Elkington ◽  
Even Almas ◽  
Ben Ward-Cherrier ◽  
Nick Pestell ◽  
J. Lloyd ◽  
...  
Keyword(s):  
Composite Materials ◽  
Real Time ◽  
Defect Detection ◽  
End Effector ◽  
Foreign Objects ◽  
Compaction Force ◽  
Shape Sensing

Abstract In this study an automated composite layup end effector is presented which is the first to be able to find defects in real time during layup using tactile shape sensing. Based around an existing sensor concept developed by the Bristol Robot Laboratory known as the ‘TacTip’, a new end effector is developed, replacing the soft gel core of the original sensor was replaced by a much firmer elastomer, enabling it to apply up to 400N of compaction force. In this paper it is shown to successfully detect typical defects such as wrinkles, foreign objects, layup errors or incorrect material types while simultaneously compacting preimpregnated composite materials over complex mould shapes.

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