Optical Method For Monitoring Tool Control For Green Burnishing With Using Of Algorithms With Adaptive Settings

All-Russian research-to-practice conference "Ecology and safety in the technosphere"

工业技术;生态环境科学

Lukyanov, A.A.^1 ; Grigoriev, S.N.^2 ; Bobrovskij, I.N.^3 ; Melnikov, P.A.^3 ; Bobrovskij, N.M.^3

JSC AEROMAT, Leninskij Prospect, 18, Togliatti, Russia^1

Moscow State Technological University, Stankin Vadkovskij per. 1, Moscow, Russia^2

Togliatti State University, Belorusskaya st. 14, Togliatti, Russia^3

关键词: Automated interpretation;    Automatic recognition;    Matlab programming;    Metalworking Fluids;    Quality management control;    Reliability requirements;    Surface plastic deformation;    Technological level;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/66/1/012020/pdf
DOI  :  10.1088/1755-1315/66/1/012020

来源: IOP

【 摘 要 】

With regard to the complexity of the new technology and increase its reliability requirements laboriousness of control operations in industrial quality control systems increases significantly. The importance of quality management control due to the fact that its promotes the correct use of production conditions, the relevant requirements are required. Digital image processing allows to reach a new technological level of production (new technological way). The most complicated automated interpretation of information is the basis for decision-making in the management of production processes. In the case of surface analysis of tools used for processing with the using of metalworking fluids (MWF) it is more complicated. The authors suggest new algorithm for optical inspection of the wear of the cylinder tool for burnishing, which used in surface plastic deformation without using of MWF. The main advantage of proposed algorithm is the possibility of automatic recognition of images of burnisher tool with the subsequent allocation of its boundaries, finding a working surface and automatically allocating the defects and wear area. Software that implements the algorithm was developed by the authors in Matlab programming environment, but can be implemented using other programming languages.