Journal ArticleDOI
A New Approach to Automatic Detection of Life of Coated Tool Based on Acoustic Emission Measurement
Toshimichi Moriwaki,M. Tobito +1 more
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This article is published in Journal of Engineering for Industry.The article was published on 1990-08-01. It has received 57 citations till now. The article focuses on the topics: Acoustic emission.read more
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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
A brief review: acoustic emission method for tool wear monitoring during turning
TL;DR: A review of acoustic emission (AE)-based tool wear monitoring in turning is presented in this article, where the main contents included: 1. AE generation in metal cutting processes, AE signal classification, and AE signal correction, and 2. AE signal processing with various methodologies, including time series analysis, FFT, wavelet transform, etc.
Journal ArticleDOI
A review of machining monitoring systems based on artificial intelligence process models
TL;DR: In this paper, the authors present a generic view of machining monitoring systems and facilitate their implementation, and present six key issues involved in the development of intelligent machining systems: (1) the different sensor systems applied to monitor machining processes, (2) the most effective signal processing techniques, (3) most frequent sensory features applied in modelling machining process, (4) the sensory feature selection and extraction methods for using relevant sensory information, (5) the design of experiments required to model a machining operation with the minimum amount of experimental data and (6) the
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
A review of flank wear prediction methods for tool condition monitoring in a turning process
Arti Siddhpura,Roshun Paurobally +1 more
TL;DR: A wide variety of monitoring techniques have been developed for the online detection of flank wear in tool condition monitoring system (TCMS) as discussed by the authors, including signal acquisition, signal processing and feature extraction.
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