New Promising Approaches to the Design of Cutting Tools Based on the Search for Optimal Control Indicators

被引:0
作者
Pivkin, Petr M. [1 ,2 ,3 ,4 ]
Grechishnikov, Vladimir A. [1 ,2 ]
Ershov, Artem A. [1 ,2 ,3 ,4 ]
Nadykto, Alexey B. [3 ]
机构
[1] Moscow State Univ Technol STANKIN, Moscow State Univ Technol, Dept Cutting Tools & Machining Technol, Moscow 127055, Russia
[2] Lab Micromachining Technol STANKIN, Moscow 127055, Russia
[3] Moscow State Univ Technol STANKIN, Ctr Cognit Technol & Machine Vis, Moscow 127055, Russia
[4] Moscow State Univ Technol STANKIN, Dept High Efficiency Proc Technol, Moscow 127055, Russia
来源
OPTICAL METROLOGY AND INSPECTION FOR INDUSTRIAL APPLICATIONS IX | 2022年 / 12319卷
关键词
cutting tools; machine; computer-aided design; real-time control; analysis of the signal; WEAR; PREDICTION; SYSTEMS;
D O I
10.1117/12.2646537
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Cutting tools with shaped cutting surfaces are widely used in industry. Their use allows to improve cutting conditions and to increase productivity. The faceted cutting surface is formed by cutting edges of complex shape. Since, there does not exist a standard/conventional methods for controlling a specialized tool, the development of methods for controlling chips of a cutting wedge of a complex shape is of high importance. In this paper, an image processing algorithm that allows to search for the shape of the edge and find deviations in the form of a chip from the theoretical result has been developed. The algorithm helps to quickly transform from a digital image to the real scale of the cutting edges. The translation of the coordinate system of the measuring machine calibrate and control the angular position of the cutter during measurement. The approach to finding the coordinates of the cutting edge, developed in this article, includes an error elimination block with experimental verification of functional dependencies, which allows to quickly correct the angular position of the controlled tooth online. This can significantly increase the efficiency and speed of measuring end mills for adjusting the angular position and correction when controlling a multi-blade tool while evaluating the accuracy of the cutting edge and the magnitude of the chip on the back surface.
引用
收藏
页数:7
相关论文
共 35 条
[1]   Temperature-dependent size effects on the strength of Ta and W micropillars [J].
Abad, Oscar Torrents ;
Wheeler, Jeffrey M. ;
Michler, Johann ;
Schneider, Andreas S. ;
Arzt, Eduard .
ACTA MATERIALIA, 2016, 103 :483-494
[2]   Use of contour signatures and classification methods to optimize the tool life in metal machining [J].
Alegre, Enrique ;
Alaiz-Rodríguez, Rocío ;
Barreiro, Joaquín ;
Ruiz, Jonatan .
Estonian Journal of Engineering, 2009, 15 (01) :3-12
[3]  
[Anonymous], 2008, CUTTING TOOL TECHNOL
[4]   Analytical Models for Tool Wear Prediction during AISI 1045 Turning Operations [J].
Attanasio, Aldo ;
Ceretti, Elisabetta ;
Giardini, Claudio .
14TH CIRP CONFERENCE ON MODELING OF MACHINING OPERATIONS (CIRP CMMO), 2013, 8 :218-223
[5]   Use of descriptors based on moments from digital images for tool wear monitoring [J].
Barreiro, J. ;
Castejon, M. ;
Alegre, E. ;
Hernandez, L. K. .
INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 2008, 48 (09) :1005-1013
[6]   Digital image processing with deep learning for automated cutting tool wear detection [J].
Bergs, Thomas ;
Holst, Carsten ;
Gupta, Pranjul ;
Augspurger, Thorsten .
48TH SME NORTH AMERICAN MANUFACTURING RESEARCH CONFERENCE, NAMRC 48, 2020, 48 :947-958
[7]   Modelling the cutting edge radius size effect for force prediction in micro milling [J].
Bissacco, G. ;
Hansen, H. N. ;
Slunsky, J. .
CIRP ANNALS-MANUFACTURING TECHNOLOGY, 2008, 57 (01) :113-116
[8]   Image data processing via neural networks for tool wear prediction [J].
D'Addona, D. M. ;
Teti, R. .
EIGHTH CIRP CONFERENCE ON INTELLIGENT COMPUTATION IN MANUFACTURING ENGINEERING, 2013, 12 :252-257
[9]  
Fang F., 2018, Nanomanufacturing and Metrology, V1, P4, DOI [10.1007/s41871-018-0005-z, DOI 10.1007/S41871-018-0005-Z]
[10]   Control of parameters of the cutting process on the basis of diagnostics of the machine tool and workpiece [J].
Grigoriev, S. N. ;
Sinopalnikov, V. A. ;
Tereshin, M. V. ;
Gurin, V. D. .
MEASUREMENT TECHNIQUES, 2012, 55 (05) :555-558