350 rub
Journal Science Intensive Technologies №4 for 2015 г.
Article in number:
The method of reduction of the cuboid infrared images for assessment of technical state of materials
Keywords:
thermal physic parameters
cuboids - of images
coefficient inverse problem
mathematical modeling
thermal tomogram
Authors:
I.N. Ishchuk - Dr. Sc. (Eng.), Associate Professor, Head of Department, Military Educational and Scientific Center «Zhukovsky-Gagarin Air Force Academy» (Voronezh). E-mail: boerby@rambler.ru
V.V. Mikhailov - Dr. Sc. (Eng.), Professor, Head of Faculty, Military Educational and Scientific Center «Zhukovsky-Gagarin Air Force Academy» (Voronezh). E-mail: mvv987@pochta.ru
A.V. Parfiriev - Post-graduate Student, Military Educational and Scientific Center «Zhukovsky-Gagarin Air Force Academy» (Voronezh). E-mail: keeperate@mail.ru
V.N. Tyapkin - Ph. D. (Eng.), Associate Professor, Professor, Military Department, Institute of Military Training, SFU (Krasnoyarsk). E-mail: trs@ire.krgtu.ru
Abstract:
This article discusses the shortcomings of existing techniques to obtain spatial and temporal distribution of radiation temperature (cuboid infrared images), is the use of active thermal pulse heating the surface under investigation from the source of infrared radiation to a temperature corresponding to the upper limit of thermal sensitivity of the receiver and the registration thermal imaging receiver radiation temperature in the process active heating and cooling within its spatial resolution. In most of these researchers used a simplified solution of the direct heat conduction problems using empirical relationships
The proposed processing method of dynamic infrared images of objects based on general physical and systemic principles: the corresponding mathematical models of physical objects with the use of standards, the calculus of variations, and the residual iterations, in addition, the principle of detection by thermal parameters and presented in the form of a reduction algorithm cuboid IR images.
The algorithm reduction cuboid IR images allows for comprehensive numerical study thermophysical processes, to expose them to a numerical experiment by analyzing a variety of situations, and receive information about the buried objects.
Pages: 23-30
References
- Hartless P., Whalley D. Automated Thermographic Inspection of Surface Mount Solder Joints // Automotive Electronics, Eighth International Conference on Volume. 28−31 Oct. 1991. P. 178−181.
- Ishchuk I.N., Karpov I.G., Fesenko A.I. The detection of hidden subsurface objects in the infrared wavelength band by identifying their thermal properties // Measurement Techniques. 2009. V. 52. № 4. P. 388−393.
- López F., Ibarra-Castanedo C., Nicolau V., Maldague X. Comparative study of Thermographic signal reconstruction and partial least-squares thermography for detection and evaluation of subsurface defects // 12th International Conference on Quantitative Infrared Thermography. Bordeaux. France. 2014.
- Maldague X. Nondestructive Evaluation of Materials by Infrared Thermography. London: Springer. 1993. 207 p.
- Ringermacher H., Howard D., Knight B. Thermal Imaging NDT at General Electric // 18th World Conference on Nondestructive Testing. Durban, South Africa. 16−20 April 2012.
- Broberg P., Runnemalm A. Detection of Surface Cracks in Welds using Active Thermography // 18th World Conference on Nondestructive Testing. Durban, South Africa. 16−20 April 2012.
- Vavilov V. Modelling Thermal NDT Problems // 18th World Conference on Nondestructive Testing. Durban, South Africa. 16−20 April 2012.
- Davis A., Venkatraman B. A Heat Transfer Methodology to Monitor Flow Accelerated Internal Corrosion in Steam Pipes // 18th World Conference on Nondestructive Testing. Durban, South Africa. 16−20 April 2012.
- Štarman S.Matz V. Automated System for Crack Detection Using Infrared Thermographic Testing // 17th World Conference on Nondestructive Testing. Shanghai, China. 25−28 Oct 2008.
- Swiderski W. Microwave Radiation in Thermal Detection of Buried Objects - Modeling and Experiments // 18th World Conference on Nondestructive Testing. Durban, South Africa. 16−20 April 2012.
- Winter E. Joint multisensor exploitation for mine detection // Proc. of the SPIE: Detection and Remediation Technologies for Mines and Minelike Targets IX, Bellingham. 2004. V. 5415. P. 1094−1104.
- Pratmarty D., Cathala T. Software coupling between RadThermIR and SE-WORKBENCH [EHlektronnyjj resurs] Rezhim dostupa: http://ebookbrowse.com/radtherm-oktal-se-itbm-s2011-paper-pdf-d443040793.
- Ishchuk I.N., Parfir-ev A.V. The Reconstruction of a Cuboid of Infrared Images to Detect Hidden Objects. Part 1. A Solution Based on the Coefficient Inverse Problem of Heat Conduction // Measurement Techniques. 2014. V. 56. № 10. P. 1162−1166.
- Ishchuk I.N., Parfir-ev A.V. The Reconstruction of a Cuboid of Infrared Images to Detect Hidden Objects. Part 2. A Method and Apparatus for Remote Measurements of the Thermal Parameters of Isotropic Materials // Measurement Techniques. 2014. V. 57. № 1. P. 74−78.
- Ishhuk I.N. Algoritm obnaruzhenija skrytykh podpoverkhnostnykh obektov v infrakrasnom diapazone voln na osnove identifikacii ikh teplovykh svojjstv // Radiotekhnika. 2009. № 2 S. 67.