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Digital reference images when evaluating the quality of castings from aluminum and magnesium alloys

https://doi.org/10.22349/1994-6716-2021-106-2-182-194

Abstract

Reference X-ray images of defects in castings and welded joints have been used for many years in X-ray radiation inspection. With the transition to digital technologies, and the use of flat-panel detectors instead of radiographic film, the problem arose of creating reference digital images. Comparison of the digital image of the reference sample with the digital image of the test object can be carried out using software, which completely or partially excludes the subjective assessment of the operator, makes it possible to view doubtful areas of the image with magnification and without loss of contrast, automatically show the size of the defect, its intensity distribution by volume of the casting. All this makes the control more objective and productive. The reference images in the detector’s memory do not undergo the aging and degradation typical of X-ray images, and there is no need to replicate them.

About the Authors

E. I. Kosarina
Federal State Unitary Enterprise All-Russian Scientific Research Institute of Aviation Materials (FSUE VIAM)
Russian Federation

Dr Sc (Eng)

17 Radio St, 105005 Moscow



A. A. Demidov
Federal State Unitary Enterprise All-Russian Scientific Research Institute of Aviation Materials (FSUE VIAM)
Russian Federation

17 Radio St, 105005 Moscow



A. V. Smirnov
Federal State Unitary Enterprise All-Russian Scientific Research Institute of Aviation Materials (FSUE VIAM)
Russian Federation

17 Radio St, 105005 Moscow



P. V. Suvorov
Federal State Unitary Enterprise All-Russian Scientific Research Institute of Aviation Materials (FSUE VIAM)
Russian Federation

17 Radio St, 105005 Moscow



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Review

For citations:


Kosarina E.I., Demidov A.A., Smirnov A.V., Suvorov P.V. Digital reference images when evaluating the quality of castings from aluminum and magnesium alloys. Voprosy Materialovedeniya. 2021;(2(106)):182-194. (In Russ.) https://doi.org/10.22349/1994-6716-2021-106-2-182-194

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ISSN 1994-6716 (Print)