THE ALGORITHM FOR OPTICAL METHOD OF CONTROL OF THE CYLINDRICAL SMOOTHER WORKING SURFACE WEAR


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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.  

About the authors

Aleksey Aleksandrovich Lukyanov

Togliatti State University, Togliatti

Author for correspondence.
Email: a.lukyanov92@yandex.ru

postgraduate student

Russian Federation

Nikolay 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 Federation

Pavel Anatolyevich Melnikov

Togliatti State University, Togliatti

Email: topavel@mail.ru

PhD (Engineering), Director of the Institute of chemistry and engineering ecology

Russian Federation

Igor Nikolaevich Bobrovskiy

Togliatti State University, Togliatti

Email: bobri@yandex.ru

PhD (Engineering), Head of laboratory “Car technologies”

Russian Federation

Olesya Olegovna Levitskikh

Togliatti State University, Togliatti

Email: loo-05@mail.ru

engineer

Russian Federation

Aleksey Sergeevich Sevostyanov

Togliatti State University, Togliatti

Email: sevalexey@yandex.ru

engineer

Russian Federation

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