Journal ArticleDOI
In-process tool wear and chip-form monitoring in face milling operation using acoustic emission.
TLDR
In this article, the effect of tool wear and chip-form change in face milling was investigated and the results indicated that the ringdown counts, rise time increase with progressive tool wear; however number of events and event duration are sensitive to chip form.About:
This article is published in Journal of Materials Processing Technology.The article was published on 1994-08-01. It has received 45 citations till now. The article focuses on the topics: Tool wear & Acoustic emission.read more
Citations
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Journal ArticleDOI
Sensor signals for tool-wear monitoring in metal cutting operations—a review of methods
TL;DR: A review of some of the methods that have been employed in tool condition monitoring can be found in this paper, where particular attention is paid to the manner in which sensor signals from the cutting process have been harnessed and used in the development of Tool Condition Monitoring Systems (TCMSs).
Journal ArticleDOI
Machining Process Monitoring and Control: The State-of-the-Art
TL;DR: In this paper, the authors discuss the evolution of machining process monitoring and control technologies and conduct an in-depth review of the state-of-the-art of these technologies over the past decade.
Journal ArticleDOI
Tool condition monitoring techniques in milling process — a review
Thangamuthu Mohanraj,Subramaniam Shankar,Rathanasamy Rajasekar,N.R. Sakthivel,Alokesh Pramanik +4 more
TL;DR: In this article, various monitoring methods for tool condition monitoring in the milling process that have been practiced and described in the literature have been summarized and described. But, the most important improvement in metal the cutting industry is the continuous utilization of cutting tools and tool condition monitor system.
Journal ArticleDOI
Review of tool condition monitoring in machining and opportunities for deep learning
TL;DR: The underlying theory of some of the most recent deep learning methods is presented, and attempts to identify new opportunities in tool condition monitoring, toward the realization of Industry 4.0.
Journal ArticleDOI
In-process tool condition monitoring in compliant abrasive belt grinding process using support vector machine and genetic algorithm
TL;DR: In this paper, the authors proposed a tool condition monitoring predicting system, which not only helps to optimise the utilisation of the tool's life cycle but also secures the surface quality of finished components.
References
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Journal ArticleDOI
Recent Developments in Chip Control Research and Applications
I.S. Jawahir,C.A. van Luttervelt +1 more
TL;DR: In the 1990 CIRP General Assembly in Berlin, a working group on chip control was formed within the STC -Cutting, with a view to evaluating and sharing the present knowledge on chip formation and chip control and promoting new research in this area as discussed by the authors.
Journal ArticleDOI
Sensor Integration Using Neural Networks for Intelligent Tool Condition Monitoring
S.S. Rangwala,David Dornfeld +1 more
Journal ArticleDOI
Acoustic Emission Sensing of Tool Wear in Face Milling
E. N. Diei,David Dornfeld +1 more
Journal ArticleDOI
A Study on Acoustic Emission from the Orthogonal Cutting Process
T. Blum,I. Inasaki +1 more
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