Systematic review on tool breakage monitoring techniques in machining operations
X Li, X Liu, C Yue, SY Liang, L Wang - International Journal of Machine …, 2022 - Elsevier
Tool condition monitoring (TCM) in machining operations is crucial to maximise the useful
tool life while reducing the risks associated with tool breakage. Unlike progressive tool wear …
tool life while reducing the risks associated with tool breakage. Unlike progressive tool wear …
Wavelet analysis of sensor signals for tool condition monitoring: A review and some new results
This paper reviews the state-of-the-art of wavelet analysis for tool condition monitoring
(TCM). Wavelet analysis has been the most important non-stationary signal processing tool …
(TCM). Wavelet analysis has been the most important non-stationary signal processing tool …
Evaluation and prediction of bond strength of GFRP-bar reinforced concrete using artificial neural network optimized with genetic algorithm
Assessment of bond behavior of glass fiber-reinforced polymer (GFRP) bars to concrete
plays an important role in design and implementation of the polymer-matrix composites …
plays an important role in design and implementation of the polymer-matrix composites …
An approach based on current and sound signals for in-process tool wear monitoring
DR Salgado, FJ Alonso - International Journal of Machine Tools and …, 2007 - Elsevier
This paper presents a tool condition monitoring system (TCMS) for on-line tool wear
monitoring in turning. The proposed TCMS was developed taking into account the …
monitoring in turning. The proposed TCMS was developed taking into account the …
Application of AE and cutting force signals in tool condition monitoring in micro-milling
K Jemielniak, PJ Arrazola - CIRP Journal of Manufacturing Science and …, 2008 - Elsevier
The paper presents acoustic emission and cutting force signals application in tool condition
monitoring in micro-milling of cold-work tool steel. The results obtained revealed strong …
monitoring in micro-milling of cold-work tool steel. The results obtained revealed strong …
Three new instance selection methods based on local sets: A comparative study with several approaches from a bi-objective perspective
The local set is the largest hypersphere centered on an instance such that it does not
contain instances from any other class. Due to its geometrical nature, this structure can be …
contain instances from any other class. Due to its geometrical nature, this structure can be …
In-process surface roughness prediction system using cutting vibrations in turning
DR Salgado, FJ Alonso, I Cambero… - The International Journal of …, 2009 - Springer
Machining is a complex process in which many variables can affect the desired results.
Among them, surface roughness is a widely used index of a machined product quality and …
Among them, surface roughness is a widely used index of a machined product quality and …
Tool wear condition prediction using vibration signals in high speed machining (HSM) of titanium (Ti-6Al-4 V) alloy
P Krishnakumar, K Rameshkumar… - Procedia Computer …, 2015 - Elsevier
Abstract Ti-6Al-4 V is extensively used in aerospace and bio-medical applications. In an
automated machining environment monitoring of tool conditions is imperative. In this study …
automated machining environment monitoring of tool conditions is imperative. In this study …
Grinding wheel wear monitoring based on wavelet analysis and support vector machine
Z Yang, Z Yu - The International Journal of Advanced Manufacturing …, 2012 - Springer
A novel grinding wheel wear monitoring system based on discrete wavelet decomposition
and support vector machine is proposed. The grinding signals are collected by an acoustic …
and support vector machine is proposed. The grinding signals are collected by an acoustic …
Quality and inspection of machining operations: tool condition monitoring
Tool condition monitoring (TCM) is an important aspect of condition based maintenance
(CBM) in all manufacturing processes. Recent work on TCM has generated significant …
(CBM) in all manufacturing processes. Recent work on TCM has generated significant …