Identification of New Indicators for Recognition of Cutting Grains and Wear of the Grinding Wheel Based on Image Recognition

被引:0
作者
Pivkin, Petr M. [1 ,2 ,3 ,4 ]
Ershov, Artem A. [1 ,2 ,3 ,4 ]
Grechishnikov, Vladimir A. [2 ,3 ]
Malysheva, Elena Yu [3 ]
Nazarenko, Ekaterina S. [3 ]
Nadykto, Alexey B. [1 ,3 ,5 ]
机构
[1] Moscow State Univ Technol STANKIN, Dept High Efficiency Proc Technol, Moscow 127055, Russia
[2] Moscow State Univ Technol STANKIN, Dept Cutting Tools & Shaping Technol, Moscow 127055, Russia
[3] Moscow State Univ Technol STANKIN, Lab Micromachining Technol, Moscow 127055, Russia
[4] Moscow State Univ Technol STANKIN, Ctr Cognit Technol & Machine Vis, Moscow 127055, Russia
[5] Moscow State Univ Technol STANKIN, Dept Appl Math, Moscow 127055, Russia
来源
OPTICAL METROLOGY AND INSPECTION FOR INDUSTRIAL APPLICATIONS IX | 2022年 / 12319卷
基金
俄罗斯科学基金会;
关键词
recognition; focus stack; quality; grinding wheels; abrasive edges; image recognition; SIMULATION; MODEL;
D O I
10.1117/12.2646533
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In this paper, a set of indicators for an effective assessment of the cutting ability of a grinding wheel was established based on the detection of the degree of filling and immersion of abrasive edges. It has been pointed out that a profile of a populated circle has a direct correlation with the average number of recognized faces. A new indicators for measuring zones with active edges and their distribution on the surface of a grinding wheel was developed, which can be identified by the models algorithms, is formed.
引用
收藏
页数:6
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