Journal ArticleDOI
Application of acoustic emission sensor for monitoring machining processes
TLDR
By applying these methods, it has become possible to take the AE signal from the rotating tools and in terms of AE signal processing for identifying the machining processes, application of the artificial neural network will be introduced.About:
This article is published in Ultrasonics.The article was published on 1998-02-01. It has received 141 citations till now. The article focuses on the topics: Acoustic emission & Grinding.read more
Citations
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Journal ArticleDOI
Advanced monitoring of machining operations
TL;DR: In this paper, the past contributions of CIRP in these areas are reviewed and an up-to-date comprehensive survey of sensor technologies, signal processing, and decision making strategies for process monitoring is provided.
Journal ArticleDOI
Estimation of tool wear during CNC milling using neural network-based sensor fusion
Nirmalya Ghosh,Y.B. Ravi,Amit Patra,Siddhartha Mukhopadhyay,Soumitra Paul,Amiya R Mohanty,A.B. Chattopadhyay +6 more
TL;DR: In this article, a neural network-based sensor fusion model has been developed for tool condition monitoring (TCM), where features extracted from a number of machining zone signals, namely cutting forces, spindle vibration, spindles current, and sound pressure level have been fused to estimate the average flank wear of the main cutting edge.
Journal ArticleDOI
Metalworking fluids—Mechanisms and performance
TL;DR: In this paper, the authors present the current state of the art regarding the assumed working mechanisms of MWFs including the effects of desired and undesired changes of the MWF properties.
Journal ArticleDOI
Monitoring and processing signal applied in machining processes – A review
TL;DR: In this article, the first steps involved in choosing and defining various techniques that may be used to monitor machining processes are discussed, and the techniques to acquire and process the signals of the monitoring processes are outlined.
Journal ArticleDOI
A critical analysis of effectiveness of acoustic emission signals to detect tool and workpiece malfunctions in milling operations
Iulian Marinescu,Dragos Axinte +1 more
TL;DR: In this article, acoustic emission (AE) has been employed for tool condition monitoring of continuous machining operations (e.g. turning, drilling), but relatively little attention has been paid to monitor interrupted processes such as milling and especially to detect the occurrence of possible surface anomalies.