Optimization for the heating pulse used in infrared thermography non-destructive testing technology

2012 ◽  
Author(s):  
Guo Li ◽  
Lichun Feng ◽  
Cunlin Zhang
Keyword(s):  
Infrared Thermography ◽  
Non Destructive Testing ◽  
Destructive Testing ◽  
Heating Pulse ◽  
Testing Technology ◽  
Non Destructive

Sensibility Analysis of the Parameters Affecting Infrared Thermal Images for the Evaluation of Building Pathologies

2014 ◽  
Vol 353 ◽  
pp. 23-27
Author(s):  
E. Barreira ◽  
S.S. de Freitas ◽  
V.P. de Freitas ◽  
João M.P.Q. Delgado
Keyword(s):  
Infrared Thermography ◽  
Non Destructive Testing ◽  
Infrared Images ◽  
Destructive Testing ◽  
Testing Technology ◽  
Sensibility Analysis ◽  
Infrared Thermal Images ◽  
Building Physics ◽  
Non Destructive ◽  
Do So

Infrared thermography is a non destructive testing technology that has been applied to detect buildings pathologies for some decades. The thermograms are affected by several parameters and it is crucial to fully understand them in order to correctly interpret the temperature readings. The infrared radiation is affected by the radiation emitted by the surface and the radiation reflected and emitted by the surroundings. Therefore there are two kinds of parameters that affect the infrared images: parameters connected to the properties of the material itself and parameters connected with the environmental conditions. In this paper we present a sensibility study of the main parameters involved with infrared thermography evaluations to detect building pathologies. To do so, some simple experiments were carried out at the Building Physics Laboratory (LFC) of the Engineering Faculty of Porto University (FEUP). The sensibility study was performed with LFC’s equipment to evaluate how measurements are influenced by emissivity, reflections, absorptance and the meteorological conditions.

scholarly journals Research on road engineering detection method based on GPR technology

2020 ◽  
Vol 165 ◽  
pp. 04014
Author(s):  
Liu Tao ◽  
Li Jia ◽  
Zheng Zhi-gang ◽  
Huang Zhi ◽  
Jiang Jian ◽  
...  
Keyword(s):  
Parameter Setting ◽  
Non Destructive Testing ◽  
Practical Application ◽  
Distribution Law ◽  
Destructive Testing ◽  
Road Engineering ◽  
The Road ◽  
Image Optimization ◽  
Testing Technology ◽  
Non Destructive

GPR is an effective non-destructive testing technology. This paper introduces its composition principle and operation method, explains the process of parameter setting and image optimization, obtains the dielectric constant of 10000 points, compares it with the density, and then obtains the uniformity distribution law of construction quality based on image. By calibrating the thickness of the road surface, the effective detection of road diseases can be realized, and the theoretical basis and practical application conditions of GPR technology can be clarified.

scholarly journals Improvement of the Non-Destructive Testing of Heritage Mural Paintings Using Stimulated Infrared Thermography and Frequency Image Processing

2019 ◽  
Vol 5 (9) ◽  
pp. 72
Author(s):  
Kamel Mouhoubi ◽  
Vincent Detalle ◽  
Jean-Marc Vallet ◽  
Jean-Luc Bodnar
Keyword(s):  
Infrared Thermography ◽  
Cultural Property ◽  
Wall Paintings ◽  
Non Destructive Testing ◽  
Property A ◽  
Destructive Testing ◽  
Mural Paintings ◽  
Works Of Art ◽  
Optical Effects ◽  
Non Destructive

Within the framework of conservation and assistance for the restoration of cultural property, a method of analysis assistance has been developed to help in the restoration of cultural heritage. Several collaborations have already demonstrated the possibility of defects detection (delamination, salts) in murals paintings using stimulated infrared thermography. One of the difficulties encountered with infrared thermography applied to the analysis of works of art is the remanence of the pictorial layer. This difficulty can sometimes induce detection artifacts and false positives. A method of thermograms post-processing called PPT (pulse phase thermography) is described. The possibilities offered by the PPT in terms of reducing the optical effects associated with the pictorial layer are highlighted first with a simulation, and then through experiments. This approach can significantly improve the study of painted works of art such as wall paintings.

An Attempt at the Detection of a Flaw Using the Inverse Problem Solution of Impedance Imaging

1991 ◽  
Author(s):  
M. A. Hussain ◽  
M. McKee ◽  
J. Frankel
Keyword(s):  
Electrical Current ◽  
Problem Solution ◽  
Non Destructive Testing ◽  
Destructive Testing ◽  
Impedance Imaging ◽  
Testing Technology ◽  
Connected Body ◽  
Simply Connected ◽  
Non Destructive ◽  
Single Flaw

Abstract In this paper we present some preliminary numerical simulations which allow us to predict a single flaw in a simply connected body. The purpose of this investigation was to detect flaws and cracks of engineering components using the method of electrical current computed tomography (ECCT), which is used in non-destructive testing technology. As in the previous paper, we have utilized the network analogy to detect a single flaw anywhere in the object. For detection of multiple flaws, the analysis has to be refined to give consistent results.

scholarly journals Pattern Deep Region Learning for Crack Detection in Thermography Diagnosis System

Metals ◽  
2018 ◽  
Vol 8 (8) ◽  
pp. 612 ◽  
Author(s):  
Jue Hu ◽  
Weiping Xu ◽  
Bin Gao ◽  
Gui Tian ◽  
Yizhe Wang ◽  
...  
Keyword(s):  
Crack Detection ◽  
Pattern Mining ◽  
Learning Method ◽  
Non Destructive Testing ◽  
Destructive Testing ◽  
Pulsed Thermography ◽  
Testing Technology ◽  
Deep Region ◽  
Detection And Localization ◽  
Non Destructive

Eddy Current Pulsed Thermography is a crucial non-destructive testing technology which has a rapidly increasing range of applications for crack detection on metals. Although the unsupervised learning method has been widely adopted in thermal sequences processing, the research on supervised learning in crack detection remains unexplored. In this paper, we propose an end-to-end pattern, deep region learning structure to achieve precise crack detection and localization. The proposed structure integrates both time and spatial pattern mining for crack information with a deep region convolution neural network. Experiments on both artificial and natural cracks have shown attractive performance and verified the efficacy of the proposed structure.

scholarly journals Erratum to: Contribution to the improvement of heritage mural painting non-destructive testing by stimulated infrared thermography

2013 ◽  
Vol 64 (1) ◽  
pp. 11003 ◽  
Author(s):  
Jean-Luc Bodnar ◽  
Kamel Mouhoubi ◽  
Luigi Di Pallo ◽  
Vincent Detalle ◽  
Jean-Marc Vallet ◽  
...  
Keyword(s):  
Infrared Thermography ◽  
Mural Painting ◽  
Non Destructive Testing ◽  
Destructive Testing ◽  
Non Destructive

scholarly journals Porosity and Inclusion Detection in CFRP by Infrared Thermography

2012 ◽  
Vol 2012 ◽  
pp. 1-6 ◽  
Author(s):  
C. Toscano ◽  
C. Meola ◽  
M. C. Iorio ◽  
G. M. Carlomagno
Keyword(s):  
Infrared Thermography ◽  
Production Costs ◽  
Non Destructive Testing ◽  
Destructive Testing ◽  
Evaluation Methodologies ◽  
Slag Inclusions ◽  
Aeronautical Industry ◽  
Testing Techniques ◽  
Lock In ◽  
Non Destructive

The ever wide use of composite materials in the aeronautical industry has evidenced the need for development of ever more effective nondestructive evaluation methodologies in order to reduce rejected parts and to optimize production costs. Infrared thermography has been recently enclosed amongst the standardized non destructive testing techniques, but its usefulness needs still complete assessment since it can be employed in several different arrangements and for many purposes. In this work, the possibility to detect slag inclusions and porosity is analyzed with both lock-in themography and pulse thermography in the transmission mode. To this end, carbon-fiber-peinforced polymers different specimens are specifically fabricated of several different stacking sequences and with embedded slag inclusions and porosity percentages. As main results, both of the techniques are found definitely able to reveal the presence of the defects above mentioned. Moreover, these techniques could be considered complementary in order to better characterize the nature of the detected defects.

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