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Publikācija: A Comparison of Quality Control Methods for Scratch Detection on Polished Metal Surfaces

Publication Type Scientific article indexed in SCOPUS or WOS database
Funding for basic activity Research project
Defending: ,
Publication language English (en)
Title in original language A Comparison of Quality Control Methods for Scratch Detection on Polished Metal Surfaces
Field of research 2. Engineering and technology
Sub-field of research 2.3 Mechanical engineering
Authors Kārlis-Agris Gross
Jānis Lungevičs
Juris Zavickis
Liene Plūduma
Keywords Polished surfaces, Scratch, Scratch detection, Microscopy, Quality control
Abstract Scratch detection and the location of the scratch on the surface is important in the quality control of multilayered, functional and polished surfaces. Visual examination in good lighting conditions has been previously used to detect scratches, but interest to see finer scratches and their location should consider use of the optical microscope, and compare it with other imaging methods at the same magnification. Stainless steel was polished, scratched and then one specific location analyzed at the same magnification with all methods to determine the level of scratch detection. Atomic force microscopy, as the technique with a higher resolution, was used to determine the mean depth of every scratch as a reference. An image was then recorded with the different techniques and the number of visible scratches counted. Profilometry did not clearly identify scratches due to limitation of the 2 μm probe size. Light microscopy provided the fastest and most appropriate technique for quality control, detecting 70% of the scratches. Scanning electron microscopy only showed 35% of the scratches at the same magnification, but provided a good 2-D image of the scratch and the resulting metal pile-up.
DOI: 10.1016/j.measurement.2017.12.022
Hyperlink: http://www.sciencedirect.com/science/article/pii/S0263224117307935 
Reference Gross, K., Lungevičs, J., Zavickis, J., Plūduma, L. A Comparison of Quality Control Methods for Scratch Detection on Polished Metal Surfaces. Measurement, 2018, Vol.117, pp.397-402. ISSN 0263-2241. Available from: doi:10.1016/j.measurement.2017.12.022
Additional information Citation count:
ID 26984