THE ALGORITHM FOR OPTICAL METHOD OF CONTROL OF THE CYLINDRICAL SMOOTHER WORKING SURFACE WEAR
- Authors: Lukyanov A.A.1, Bobrovskiy N.M.1, Melnikov P.A.1, Bobrovskiy I.N.1, Levitskikh O.O.1, Sevostyanov A.S.1
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Affiliations:
- Togliatti State University, Togliatti
- Issue: No 2 (2017)
- Pages: 37-43
- Section: Technical Sciences
- URL: https://vektornaukitech.ru/jour/article/view/236
- DOI: https://doi.org/10.18323/2073-5073-2017-2-37-43
- ID: 236
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Full Text
Abstract
Due to the new technology complication and the severization of the requirements to its reliability, the labor intensity of checking operations within the industrial systems of the products quality control increases considerably. The significance of control within the quality management is caused by the fact that it is the control, which promotes the adequate use of the conditions for producing the goods meeting the applicable requirements. The image digital processing has a wide application practically in all areas of industry. Commonly, its application allows getting to the new technology level of production. In these conditions, the issues associated with the autoextract from the image and the interpretation of the information being the basis for the decision making in the process of manufacturing control are the most complicated. The authors suggest the algorithm for the optical method of control of wear of the cylindrical smoother working surface applied for the final polishing of workpieces using surface plastic deformation (SPD). The paper compares the developed software implemented on the basis of the suggested algorithm with its previous version. The main distinguishing feature of the suggested algorithm is the possibility of automatic recognition of the burnishing tool image with its further edge detection, working surface estimation and the automatic detection of the defects and wear area. Various defects and the smoother surface wear in the process of mechanical treatment are detected automatically using the methods of detection of the edges on the images, in particular, using the Prewitt operator. The authors developed the software implementing the algorithm under consideration in the Matlab media, but it can be developed using other programming languages.
Keywords
About the authors
Aleksey Aleksandrovich Lukyanov
Togliatti State University, Togliatti
Author for correspondence.
Email: a.lukyanov92@yandex.ru
postgraduate student
Russian FederationNikolay Mikhailovich Bobrovskiy
Togliatti State University, Togliatti
Email: bobrnm@yandex.ru
Doctor of Sciences (Engineering), Associate Professor, professor of Chair “Equipment and technologies of machinery production”
Russian FederationPavel Anatolyevich Melnikov
Togliatti State University, Togliatti
Email: topavel@mail.ru
PhD (Engineering), Director of the Institute of chemistry and engineering ecology
Russian FederationIgor Nikolaevich Bobrovskiy
Togliatti State University, Togliatti
Email: bobri@yandex.ru
PhD (Engineering), Head of laboratory “Car technologies”
Russian FederationOlesya Olegovna Levitskikh
Togliatti State University, Togliatti
Email: loo-05@mail.ru
engineer
Russian FederationAleksey Sergeevich Sevostyanov
Togliatti State University, Togliatti
Email: sevalexey@yandex.ru
engineer
Russian FederationReferences
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