Journal ArticleDOI
Development of an on-line tool-life monitoring system using acoustic emission signals in gear shaping
TLDR
In this article, a tool-life monitoring system for gear shaping that uses acoustic emission (AE) signals is presented, which is related to the cutting condition, tool material and tool geometry in the cutting of metals.Abstract:
Sensing techniques for monitoring machining processes have been one of the focuses of research on process automation. This paper presents the development of on-line tool-life monitoring system for gear shaping that uses acoustic emission (AE). Characteristics of the AE signals are related to the cutting condition, tool material and tool geometry in the cutting of metals. The relationship between AE signal and tool wear was investigated experimentally. Experiments were carried out on the gear shaping of SCM 420 material with a pinion cutter having 44 teeth. Root-mean-square (RMS) AE voltages increase regularly according to tool wear. It is suggested that the maximum value of RMS AE voltage is an effective parameter to monitor tool life. In this study, not only the acquisition method of AE signals for rotating objects but also the signal-processing technique were developed in order to realize the in-process monitoring system for gear shaping. The on-line tool-life monitoring system developed has been successfully applied to gear machining processes.read more
Citations
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Journal ArticleDOI
Condition monitoring of wind turbines: Techniques and methods
TL;DR: A review of the state-of-the-art in the condition monitoring of wind turbines can be found in this article, which describes the different maintenance strategies, condition monitoring techniques and methods, and highlights in a table the various combinations of these that have been reported in the literature.
Journal ArticleDOI
Manufacturing of cylindrical gears by generating cutting processes: A critical synthesis of analysis methods
TL;DR: In this paper, empirical, analytical, numerical as well as FEM-based methods describing the chip geometry and predicting the tool life and cutting forces have been developed to capture quantitatively the tool wear progress and the cutting loads.
Journal ArticleDOI
The Correlation of Vibration Signal Features to Cutting Tool Wear in a Metal Turning Operation
TL;DR: In this article, a tool-wear monitoring procedure in a metal turning operation using vibration features was described, and the measured toolwear forms were correlated to features in the vibration signals in the time and frequency domains.
Journal ArticleDOI
In situ monitoring of FDM machine condition via acoustic emission
Haixi Wu,Yan Wang,Zhonghua Yu +2 more
TL;DR: In this paper, a new method for in situ monitoring of FDM machine conditions, where acoustic emission (AE) technique is applied, is proposed, allowing for the identification of both normal and abnormal states of the machine conditions.
Journal ArticleDOI
Tool Wear Monitoring Using Acoustic Emissions by Dominant-Feature Identification
TL;DR: The acoustic emission from an embedded sensor is used for computation of features and prediction of tool wear using a new dominant-feature identification algorithm to reduce the signal processing and number of sensors required.
References
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Journal ArticleDOI
Tool wear and failure monitoring techniques for turning—A review
TL;DR: A review of the various techniques and methods of monitoring tool wear particularly in turning operations can be found in this paper, where the authors present a single-minded approach which is capable of detecting and diagnosing tool wear and failure relating to particular classes of faults.
Journal ArticleDOI
Developments and Trends in Monitoring and Control of Machining Processes
TL;DR: In this article, the authors describe conventional and enhanced methods for the monitoring and control of machining processes with a limitation to cutting and grinding machine tools, and the differences between the various methods and the corresponding equipment, software and strategies are considered.
Journal ArticleDOI
Acoustic Emission Sensing of Tool Wear in Face Milling
E. N. Diei,David Dornfeld +1 more
Journal ArticleDOI
Detection for Cutting Tool Fracture by Acoustic Emission Measurement
Toshimichi Moriwaki,K. Okushima +1 more
TL;DR: In this paper, the acoustic emission signal from the cutting process was monitored in order to investigate feasibility of in-process detection of tool failure during metal cutting, and acoustic emission signals with large amplitudes were detected when cracking, chipping and fracture of the cutting tools were observed, and the feed motion of the lathe was automatically stopped when the damages of the tools were detected.
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