scholarly journals Probability of defect detection in pulse compression favourable thermal excitation schemes for infra-red non-destructive testing

2020 ◽  
Vol 56 (19) ◽  
pp. 998-1000 ◽  
Author(s):  
V. Kher ◽  
R. Mulaveesala
Keyword(s):  
Defect Detection ◽  
Pulse Compression ◽  
Thermal Excitation ◽  
Non Destructive Testing ◽  
Destructive Testing ◽  
Infra Red ◽  
Non Destructive

A REVIEW ON EDDY CURRENT THERMOGRAPHY TECHNIQUE FOR NON-DESTRUCTIVE TESTING APPLICATION

2016 ◽  
Vol 78 (11) ◽  
Author(s):  
N. S. Rusli ◽  
I. Z. Abidin ◽  
S. A. Aziz
Keyword(s):  
Defect Detection ◽  
Eddy Current ◽  
Infrared Camera ◽  
Heat Diffusion ◽  
Non Destructive Testing ◽  
Destructive Testing ◽  
Quantitative Characterisation ◽  
Optimum Heating ◽  
Non Destructive ◽  
Eddy Current Heating

Eddy current thermography is one of the non-destructive testing techniques that provide advantages over other active thermography techniques in defect detection and analysis. The method of defect detection in eddy current thermography has become reliable due to its mode of interactions i.e. eddy current heating and heat diffusion, acquired via an infrared camera. Such ability has given the technique the advantages for non-destructive testing applications. The experimental parameters and settings which contribute towards optimum heating and defect detection capability have always been the focus of research associated with the technique. In addition, the knowledge and understanding of the characteristics heat distribution surrounding a defect is an important factor for successful inspection results. Thus, the quantitative characterisation of defect by this technique is possible compared to the conventional non-destructive which only acquired qualitative result. In this paper, a review of the eddy current thermography technique is presented which covers the physical principles of the technique, associated systems and its applications. Works on the application of the technique have been presented and discussed which demonstrates the ability of eddy current thermography for non-destructive testing of conductive materials.   

scholarly journals Benefit of Neural Network for the Optimization of Defect Detection on Composite Material Using Ultrasonic Non Destructive Testing

2021 ◽  
Author(s):  
P. Trouvé-Peloux ◽  
B. Abeloos ◽  
A. Ben Fekih ◽  
C. Trottier ◽  
J.-M. Roche
Keyword(s):  
Defect Detection ◽  
Semantic Segmentation ◽  
Detection Methods ◽  
Learning Approaches ◽  
Non Destructive Testing ◽  
Destructive Testing ◽  
Experimental Database ◽  
Out Of Plane ◽  
Non Destructive

Abstract This paper is dedicated to out-of-plane waviness defect detection within composite materials by ultrasonic testing. We present here an in-house experimental database of ultrasonic data built on composite pieces with/without elaborated defects. Using this dataset, we have developed several defect detection methods using the C-scan representation, where the defect is clearly observable. We compare here the defect detection performance of unsupervised, classical machine learning methods and deep learning approaches. In particular, we have investigated the use of semantic segmentation networks that provides a classification of the data at the “pixel level”, hence at each C-scan measure. This technique is used to classify if a defect is detected, and to produce a precise localization of the defect within the material. The results we obtained with the various detection methods are compared, and we discuss the drawbacks and advantages of each method.

Research on Non-Destructive Testing for Defects of Steel Bar in Concrete

2013 ◽  
Vol 351-352 ◽  
pp. 143-147
Author(s):  
Jing Yang ◽  
Wei Heng Yuan ◽  
Jun Tan
Keyword(s):  
Defect Detection ◽  
Electromagnetic Induction ◽  
Experimental Result ◽  
Non Destructive Testing ◽  
Test Device ◽  
Destructive Testing ◽  
Structure Detection ◽  
Steel Bar ◽  
Non Destructive ◽  
Magnetic Scanner

Steel bar defect detection in concrete is an important content of civil engineering structure detection. Currently there are no effective methods for nondestructive testing of steel bar defects . This paper studies the application of electromagnetic induction technology for Steel bar defect detection. Firstly, the principle of electromagnetic induction technology to detect rebar are described. Secondly,an air dielectric test device was designed and Steel bar defect in the device was detected by magnetic scanner. Through analyzing we got the characteristics of scanning images from different Steel bar defects. Thirdly this experimental result was compared with detection result in concrete.Finally verify the accuracy and feasibility of this method.

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