A review of flank wear prediction methods for tool condition monitoring in a turning process
A Siddhpura, R Paurobally - The International Journal of Advanced …, 2013 - Springer
Flank wear is the most commonly observed and unavoidable phenomenon in metal cutting
which is also a major source of economic loss resulting due to material loss and machine …
which is also a major source of economic loss resulting due to material loss and machine …
Flank wear measurement by a threshold independent method with sub-pixel accuracy
WH Wang, GS Hong, YS Wong - International Journal of Machine Tools …, 2006 - Elsevier
This paper presents an image processing procedure to detect and measure the tool flank
wear area. Unlike the traditional thresholding-based methods, a rough-to-fine strategy is …
wear area. Unlike the traditional thresholding-based methods, a rough-to-fine strategy is …
Development of a tool wear-monitoring system for hard turning
C Scheffer, H Kratz, PS Heyns, F Klocke - International Journal of Machine …, 2003 - Elsevier
This paper describes an in-depth study on the development of a system for monitoring tool
wear in hard turning. Hard turning is used in the manufacturing industry as an economic …
wear in hard turning. Hard turning is used in the manufacturing industry as an economic …
Monitoring online cutting tool wear using low-cost technique and user-friendly GUI
Cutting tool wear is known to affect tool life, surface quality and production time. Because of
this an online tool wear measurement and monitoring system has been developed, using a …
this an online tool wear measurement and monitoring system has been developed, using a …
Automated wear characterization for broaching tools based on machine vision systems
Monitoring tool wear is essential to ensure consistently high quality of machined products. In
the past, tool wear has been well characterized in common machining processes such as …
the past, tool wear has been well characterized in common machining processes such as …
Sensor fusion for online tool condition monitoring in milling
WH Wang, GS Hong, YS Wong… - International Journal of …, 2007 - Taylor & Francis
The objective of this paper is to combine a direct sensor (vision) and an indirect sensor
(force) to create an intelligent integrated tool condition monitoring (TCM) system for online …
(force) to create an intelligent integrated tool condition monitoring (TCM) system for online …
Tool condition monitoring based on numerous signal features
K Jemielniak, T Urbański, J Kossakowska… - … International Journal of …, 2012 - Springer
This paper presents a tool wear monitoring strategy based on a large number of signal
features in the rough turning of Inconel 625. Signal features (SFs) were extracted from time …
features in the rough turning of Inconel 625. Signal features (SFs) were extracted from time …
[HTML][HTML] A systematic literature review of cutting tool wear monitoring in turning by using artificial intelligence techniques
In turning operations, the wear of cutting tools is inevitable. As workpieces produced with
worn tools may fail to meet specifications, the machining industries focus on replacement …
worn tools may fail to meet specifications, the machining industries focus on replacement …
Sensor signals for tool-wear monitoring in metal cutting operations—a review of methods
DED Snr - International Journal of Machine Tools and …, 2000 - Elsevier
The state of a cutting tool is an important factor in any metal cutting process as additional
costs in terms of scrapped components, machine tool breakage and unscheduled downtime …
costs in terms of scrapped components, machine tool breakage and unscheduled downtime …
Real time implementation of on-line tool condition monitoring in turning
A Ghasempoor, J Jeswiet, TN Moore - International Journal of Machine …, 1999 - Elsevier
This paper describes a real-time tool condition monitoring system for turning operations. The
system uses a combination of static and dynamic neural networks with off-line and on-line …
system uses a combination of static and dynamic neural networks with off-line and on-line …