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flaw-detection
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Flaw detection improvement of digitised radiographs by morphological transformations
, Article Insight: Non-Destructive Testing and Condition Monitoring ; Volume 47, Issue 10 , 2005 , Pages 625-630 ; 13542575 (ISSN) ; Kargarnovin, M. H ; Soltanian Zadeh, H ; Taheri, M ; Ghasemi, F ; Rokrok, B ; Edalati, K ; Rastkhah, N ; Sharif University of Technology
2005
Abstract
Radiographic inspection is one of the most appreciated techniques among non-destructive testing methods due to the production of a film which acts as a unique fingerprint record. Converting radiographs to a digital format and further digital image processing is the best method of enhancing the image quality and assisting the interpreter on his evaluation. In this research, different algorithms were used for image enhancement and radiograph interpretation in MATLAB environment. A graphical user interface (GUI) was created for implementation of different algorithms. Both spatial and frequency domains techniques were used for image enhancement. The main enhancement technique was a spatial...
Developing an adaptive fractional model of a magnetic structure using evolutionary algorithm
, Article ICCC 2008 - IEEE 6th International Conference on Computational Cybernetics, Stara Lesna, 27 November 2008 through 29 November 2008 ; 2008 , Pages 189-192 ; 9781424428755 (ISBN) ; Hajihasani, M ; Farjami, Y ; Norouzi, E ; Sharif University of Technology
2008
Abstract
Magnetic flux leakage technique is used extensively to detect and characterize defects in natural gas and oil transmission pipelines. The amount of magnetic flux introduced into the test sample is an important factor in the resolution of flaw detection. It depends on the power of permanent magnets and the geometrical design of the magnetic yoke. Finite element method (FEM) is the most widely used method of analyzing magnetic yoke due to its power, accuracy and straightforwardness. On the other hand its calculations are so complicated and time consuming, and every single modification in the parameters of the problem requires a new run. In this paper, we present an innovative method to...
Developing a neural network model for magnetic yoke structure
, Article 2008 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications, IEEE CIMSA 2008, Istanbul, 14 July 2008 through 16 July 2008 ; 2008 , Pages 75-78 ; 9781424423064 (ISBN) ; Norouzi, E ; Sharif University of Technology
2008
Abstract
Magnetic flux leakage technique is used extensively to detect and characterize defects in natural gas and oil transmission pipelines. The amount of magnetic flux introduced into the test sample is an important factor in the resolution of flaw detection. It depends on the power of permanent magnets and the geometrical design of the magnetic yoke. Finite element method (FEM) is the most widely used method of analyzing magnetic yoke due to its power, accuracy and straightforwardness. On the other hand its calculations are so complicated and time consuming, and every single modification in the parameters of the problem requires a new run. In this paper, we present an innovative method to...