scholarly journals Monitoring of Grinding Burn by Acoustic Emission

10.5772/31339 ◽  
2012 ◽  
Author(s):  
Paulo Roberto de Aguiar ◽  
Eduardo Carlos ◽  
Rubens Chinali
Keyword(s):  
Acoustic Emission ◽  
Grinding Burn

scholarly journals Scalogram-Based Instantaneous Features of Acoustic Emission in Grinding Burn Detection

2021 ◽  
Author(s):  
Isa Yesilyurt ◽  
◽  
Abdullah Dalkiran ◽  
Onder Yesil ◽  
Ozan Mustak ◽  
...  
Keyword(s):  
Acoustic Emission ◽  
Cutting Speed ◽  
Operating Conditions ◽  
Depth Of Cut ◽  
Signal Phase ◽  
Time Frequency ◽  
Grinding Burn ◽  
Frequency Moments ◽  
Phase Deviation ◽  
Instantaneous Energy

Time-frequency methods are effective tools in identifying the frequency content of a signal and revealing its time-variant features. This paper presents the use of instantaneous features (i.e. instantaneous energy and signal phase) of acoustic emission (AE) in the detection of thermal damage to the workpiece in grinding. Both the instantaneous energy and mean frequency are obtained using the low-order frequency moments of a scalogram. While the zero-order frequency moment yields the instantaneous energy, the first-order frequency moment gives the instantaneous frequency by which the signal phase is recovered. The grinding process is monitored using acoustic emission for various operating conditions, including the regular grinding, grinding at a higher cutting speed and larger infeed, and small dressing depth of cut. It has been found that both the instantaneous energy and phase deviation indicate the presence of burn damage and serve as robust and reliable indicators, providing a basis for detecting the grinding burn.

Study on Acoustic Emission in the Grinding Process Automation

1999 ◽  
Author(s):  
Ming Chen ◽  
Bing-Yuan Xue
Keyword(s):  
Acoustic Emission ◽  
High Efficiency ◽  
Grinding Wheel ◽  
Grinding Process ◽  
Process Automation ◽  
Grinding Burn ◽  
Sensing System ◽  
Monitoring Technique ◽  
Ae Signal ◽  
Process Prediction

Abstract Comprehensive experiments have been conducted to investigate the monitoring technique for grinding process automation with acoustic emission (AE) signal. The AE signal generated during the grinding process is analyzed to determine its sensitivity to process. The detection of contact between the grinding wheel and workpiece and in-process prediction of grinding burn have been discussed in sequence. The results have been obtained as follows: (1) AE contact detector can save the non-machine time remarkably, thus high efficiency is available. (2) An effective intelligent sensing system has been developed and grinding burn can predicted. As mentioned above, AE technique has found wide applications in the grinding process automation.

Camshaft grinding burn detection by acoustic emission

Sensor Review ◽  
1983 ◽  
Vol 3 (2) ◽  
pp. 72-74
Author(s):  
D.A. Roberts ◽  
D.L. Leete
Keyword(s):  
Acoustic Emission ◽  
Grinding Burn

scholarly journals Scalogram-Based Instantaneous Features of Acoustic Emission in Grinding Burn Detection

2021 ◽  
Author(s):  
Isa Yesilyurt ◽  
◽  
Abdullah Dalkiran ◽  
Onder Yesil ◽  
Ozan Mustak ◽  
...  
Keyword(s):  
Acoustic Emission ◽  
Cutting Speed ◽  
Operating Conditions ◽  
Depth Of Cut ◽  
Signal Phase ◽  
Time Frequency ◽  
Grinding Burn ◽  
Frequency Moments ◽  
Phase Deviation ◽  
Instantaneous Energy

Time-frequency methods are effective tools in identifying the frequency content of a signal and revealing its time-variant features. This paper presents the use of instantaneous features (i.e. instantaneous energy and signal phase) of acoustic emission (AE) in the detection of thermal damage to the workpiece in grinding. Both the instantaneous energy and mean frequency are obtained using the low-order frequency moments of a scalogram. While the zero-order frequency moment yields the instantaneous energy, the first-order frequency moment gives the instantaneous frequency by which the signal phase is recovered. The grinding process is monitored using acoustic emission for various operating conditions, including the regular grinding, grinding at a higher cutting speed and larger infeed, and small dressing depth of cut. It has been found that both the instantaneous energy and phase deviation indicate the presence of burn damage and serve as robust and reliable indicators, providing a basis for detecting the grinding burn.

Signal Analysis of Acoustic Emission for Laser Imitating Grinding Burn

2005 ◽  
Vol 291-292 ◽  
pp. 91-96 ◽  
Author(s):  
Xun Chen ◽  
Q.S. Liu ◽  
Nabil Gindy
Keyword(s):  
Acoustic Emission ◽  
Thermal Expansion ◽  
Laser Irradiation ◽  
Signal Analysis ◽  
Thermal Damage ◽  
High Efficiency ◽  
Wavelet Packet ◽  
Common Phenomenon ◽  
Acoustic Emission Technique ◽  
Grinding Burn

Grinding burn is a common phenomenon of thermal damage that has been one of the main constraints in grinding in respect of high efficiency and quality. Use of acoustic emission technique for identifying grinding burn was reported before. However, the AE features of grinding burn are relatively weak and easily merged by other AE sources. This paper presents an investigation of the AE features of the thermal expansion induced by laser irradiation, which was designed to simulate grinding thermal behaviour. By means of the wavelet packet transforms, AE features at the grinding burn temperature can successfully be extracted without other mechanical interferential factors. These clean features can provide a firm foundation for analysing the real grinding burn AE features and for monitoring grinding burn.

Neural network detection of grinding burn from acoustic emission

2001 ◽  
Vol 41 (2) ◽  
pp. 283-309 ◽  
Author(s):  
Zhen Wang ◽  
Peter Willett ◽  
Paulo R. DeAguiar ◽  
John Webster
Keyword(s):  
Neural Network ◽  
Acoustic Emission ◽  
Grinding Burn
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