Stochastic Model of Cutting-Tool Failure Based on the Level of Vibration

2021 ◽  
Vol 41 (3) ◽  
pp. 240-245
Author(s):  
N. I. Pas’ko ◽  
A. V. Antsev ◽  
E. S. Yanov
Keyword(s):  
Stochastic Model ◽  
Cutting Tool ◽  
Tool Failure

Cutting Tool Failure and Surface Finish Analysis in Pulsating MQL-Assisted Hard Turning

2020 ◽  
Vol 20 (4) ◽  
pp. 1274-1291
Author(s):  
Soumikh Roy ◽  
Ramanuj Kumar ◽  
Ashok Kumar Sahoo ◽  
Amlana Panda
Keyword(s):  
Surface Finish ◽  
Hard Turning ◽  
Cutting Tool ◽  
Tool Failure

Study on Cutting Performance of the Alumina Based Nanocomposite Ceramic Tool

2014 ◽  
Vol 941-944 ◽  
pp. 1917-1921
Author(s):  
Qi Fen Zhou ◽  
Peng Zhou ◽  
Hai Ying Zhang
Keyword(s):  
Tool Wear ◽  
Failure Modes ◽  
Cutting Tool ◽  
Cutting Speed ◽  
Cutting Performance ◽  
Crater Wear ◽  
Tool Failure ◽  
Ceramic Tools ◽  
Ceramic Cutting Tool ◽  
Adhesion Wear

In this paper, the oxide nanometer composite cutting performance of ceramic tools cutting cast iron were studied. And the tool failure modes were mainly analyzed. Through the study found that, with the increase of tool wear with cutting speed, failure forms mainly adhesion wear. When the cutting speed is low, the knife before the crater wear become the main form of ceramic cutting tool wear, boundary wear and the surface of the knife after wear is also very serious. And in the process of cutting, the collapse edge can also occur now; With the increase of cutting speed, collapse become the main failure forms of cutter blade.

scholarly journals Estimation of residual life of a cutting tool used in a machining process

2018 ◽  
Vol 192 ◽  
pp. 01017
Author(s):  
Sourath Ghosh ◽  
Sukanta Kumar Naskar ◽  
Nirmal Kumar Mandal
Keyword(s):  
Cutting Tool ◽  
Residual Life ◽  
Remaining Useful Life ◽  
Machining Process ◽  
Cutting Condition ◽  
Remaining Life ◽  
Tool Failure ◽  
Life Data ◽  
Useful Life ◽  
Good Agreement

A significant part of cost of machining is associated with non-optimum use of cutting tool. Moreover cutting tool failure is responsible for almost 20% of the machining downtime. Thus, having knowledge of residual life of cutting tool is highly recommended so as to maximise the availability time and reduce the machining cost. The aim of this work is to find out residual life of a worn cutting tool which has been used for turning of Ti-6Al-4V alloy under constant cutting condition. The lognormal distribution is used to model the cutting tool life data. Remaining useful life of cutting tool is estimated using Mean Remaining Life (MRL) function. The results obtained from model are compared with the experimental results and it shows good agreement.

Optimization strategy for turning operation accounting for cutting tool wear history

2002 ◽  
Vol 216 (10) ◽  
pp. 1407-1411 ◽  
Author(s):  
D A Axinte ◽  
N Gindy
Keyword(s):  
Tool Wear ◽  
Cutting Tool ◽  
Removal Rate ◽  
Cutting Parameters ◽  
System Stability ◽  
Process Conditions ◽  
Optimization Strategy ◽  
Batch Production ◽  
Tool Failure ◽  
Cutting Tool Wear

The paper reports on a methodology for monitoring and evaluating the progress of cutting tool wear and an optimization strategy for turning operations in which the progress of cutting tool wear is taken into account in optimizing process parameters. The methodology evaluates tool wear history’ when a cutting tool is used under different process conditions (e.g. change in workplace material and range of cutting parameters) which a cutting tool is likely to encounter in small batch production operations. The optimization strategy proposed attempts to maximize material removal rate taking into account surface roughness, system stability and cutting tool failure as its technical constraints. One of the novel aspects of this work is that it enables a more complete tool failure avoidance strategy to be developed, taking into account tool wear progression under a variety of conditions. The machining strategy is aimed at optimizing batch production in turning where it is likely that the same cutting tool edge is used to process parts made of different workpiece materials and therefore the cutting tool reaches its limiting flank wear under variable sets of cutting conditions.

Time Series Prediction Techniques for Estimating Remaining Useful Lifetime of Cutting Tool Failure

2014 ◽  
Vol 9 (10) ◽  
pp. 1783 ◽  
Author(s):  
Siti Azirah Asmai ◽  
Burairah Hussin ◽  
Mokhtar Mohd Yusof ◽  
Abdul Samad Shibghatullah
Keyword(s):  
Time Series ◽  
Cutting Tool ◽  
Time Series Prediction ◽  
Tool Failure ◽  
Prediction Techniques ◽  
Useful Lifetime

scholarly journals Monitoring system for cutting tool failure using an acoustic emission sensor.

1987 ◽  
Vol 30 (261) ◽  
pp. 523-528 ◽  
Author(s):  
Ichiro INASAKI ◽  
Shuhei AIDA ◽  
Shinichiro FUKUOKA
Keyword(s):  
Acoustic Emission ◽  
Monitoring System ◽  
Cutting Tool ◽  
Acoustic Emission Sensor ◽  
Tool Failure

scholarly journals Identifying the cause of cutting tool failure by using simulation software

2018 ◽  
Vol 157 ◽  
pp. 02057
Author(s):  
Andrej Zrak ◽  
Radoslav Koňár
Keyword(s):  
Opposite Direction ◽  
Cutting Tool ◽  
Cutting Tools ◽  
Bending Moment ◽  
Simulation Software ◽  
Tool Failure ◽  
The Real

The article is focused on the construction problems of cutting tools designed for manufacturing components in high numbers. Analysis of the tool with low lifetime is provided with the use of simulation software to detect the causes of the tool failure. Parameters of the simulation are close to the real conditions of the tool in production. The results from the simulation indicate that the bending moment occurs in the tool because of forces which have opposite direction on different areas. On these basis technological adjustments are made. These adjustments are also analysed by using simulation software.

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