A machine vision method for measurement of drill tool wear

2021 ◽  
Author(s):  
Jianbo Yu ◽  
Xun Cheng ◽  
Zhihong Zhao
Keyword(s):  
Tool Wear ◽  
Machine Vision ◽  
Drill Tool

THRUST FORCE PREDICTION MODEL FOR DRILLING UNIDIRECTIONAL CARBON PLASTICS WITH WEAR OF THE CUTTING TOOL

2021 ◽  
Vol 2 ◽  
pp. 100-108
Author(s):  
V.I. GOLOVIN ◽  
S.YU. RADCHENKO
Keyword(s):  
Carbon Fiber ◽  
Tool Wear ◽  
Prediction Model ◽  
Cutting Tool ◽  
Thrust Force ◽  
Contact Conditions ◽  
Force Prediction ◽  
Geometric Characteristics ◽  
Drill Tool

One of the most important tasks in the production of carbon fiber products is to ensure the specified accuracy and quality of the drilled holes. A model for predicting the thrust force, taking into account the degree of tool wear, is proposed. First, the geometric characteristics of the wear of the spiral drill tool are analyzed. Further, the contact conditions between the drill and the carbon fiber are determined in accordance with the geometric characteristics of the tool wear. Based on the mechanics of the contact interaction of surfaces, the thrust forces of the main cutting edges and the chisel edge are modeled, taking into account the degree of tool wear. The results obtained are integrated into the thrust force prediction model. An example of an experimental study of the drilling carbon fiber is given. The results obtained show a fairly accurate prediction of the cutting force, taking into account the wear of the cutting tool.

Research on tool wear detection based on machine vision in end milling process

2012 ◽  
Vol 6 (4-5) ◽  
pp. 431-437 ◽  
Author(s):  
Jilin Zhang ◽  
Chen Zhang ◽  
Song Guo ◽  
Laishui Zhou
Keyword(s):  
Tool Wear ◽  
Machine Vision ◽  
End Milling ◽  
Milling Process ◽  
End Milling Process

Study of Tool Wear Monitoring Using Machine Vision

2020 ◽  
Vol 54 (3) ◽  
pp. 259-270
Author(s):  
Ruitao Peng ◽  
Haolin Pang ◽  
Haojian Jiang ◽  
Yunbo Hu
Keyword(s):  
Tool Wear ◽  
Machine Vision ◽  
Tool Wear Monitoring ◽  
Wear Monitoring

A machine vision system for tool wear assessment

1997 ◽  
Vol 30 (4) ◽  
pp. 295-304 ◽  
Author(s):  
S. Kurada ◽  
C. Bradley
Keyword(s):  
Tool Wear ◽  
Machine Vision ◽  
Vision System ◽  
Machine Vision System

Machine vision micro-milling tool wear inspection by image reconstruction and light reflectance

2016 ◽  
Vol 44 ◽  
pp. 236-244 ◽  
Author(s):  
Michał Szydłowski ◽  
Bartosz Powałka ◽  
Marcin Matuszak ◽  
Paweł Kochmański
Keyword(s):  
Image Reconstruction ◽  
Tool Wear ◽  
Machine Vision ◽  
Micro Milling ◽  
Milling Tool ◽  
Light Reflectance

In-process machine vision monitoring of tool wear for Cyber-Physical Production Systems

2020 ◽  
Vol 61 ◽  
pp. 101859 ◽  
Author(s):  
Romulo Gonçalves Lins ◽  
Paulo Ricardo Marques de Araujo ◽  
Marcio Corazzim
Keyword(s):  
Tool Wear ◽  
Machine Vision ◽  
Production Systems ◽  
Cyber Physical Production Systems

An online tool wear detection system in dry milling based on machine vision

2019 ◽  
Vol 105 (1-4) ◽  
pp. 1801-1810 ◽  
Author(s):  
Qiulin Hou ◽  
Jie Sun ◽  
Zhenyu Lv ◽  
Panling Huang ◽  
Ge Song ◽  
...  
Keyword(s):  
Tool Wear ◽  
Machine Vision ◽  
Detection System ◽  
Dry Milling ◽  
Online Tool

Analysis of Drill Tool Wear Using Acoustic Emission Signals Based on IBS Technique for CFRP Laminates

2021 ◽  
pp. 89-111
Author(s):  
V. Rishikesan ◽  
N. Arunachalam ◽  
R. Velmurugan ◽  
L. Vijayaraghavan
Keyword(s):  
Acoustic Emission ◽  
Tool Wear ◽  
Cfrp Laminates ◽  
Drill Tool
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