A Wireless Demodulation Method for Acoustic Emission Sensing

2020 ◽  
Vol 20 (21) ◽  
pp. 12671-12678
Author(s):  
Zhibo Zhang ◽  
Siping Zhong ◽  
Wenbin Huang ◽  
Xiaoxi Ding
Keyword(s):  
Acoustic Emission ◽  
Acoustic Emission Sensing ◽  
Demodulation Method

Fiber-Optic Interferometric Sensor Based on the Self-Interference Pulse Interrogation Approach for Acoustic Emission Sensing in the Graphite/Epoxy Composite

2019 ◽  
Vol 19 (18) ◽  
pp. 7861-7867 ◽  
Author(s):  
Mikhail E. Efimov ◽  
Mikhail Y. Plotnikov ◽  
Andrey V. Kulikov ◽  
Mikhail V. Mekhrengin ◽  
Aleksandr Y. Kireenkov
Keyword(s):  
Acoustic Emission ◽  
Fiber Optic ◽  
Epoxy Composite ◽  
The Self ◽  
Acoustic Emission Sensing ◽  
Interferometric Sensor

On-line size measurement of pneumatically conveyed particles through acoustic emission sensing

2019 ◽  
Vol 353 ◽  
pp. 195-201 ◽  
Author(s):  
Guoqiang Zhang ◽  
Yong Yan ◽  
Yonghui Hu ◽  
Ge Zheng
Keyword(s):  
Acoustic Emission ◽  
Size Measurement ◽  
Acoustic Emission Sensing ◽  
On Line

Acoustic Emission Sensing of Tool Wear in Face Milling

1987 ◽  
Vol 109 (3) ◽  
pp. 234-240 ◽  
Author(s):  
E. N. Diei ◽  
D. A. Dornfeld
Keyword(s):  
Acoustic Emission ◽  
Tool Wear ◽  
Cutting Forces ◽  
Flank Wear ◽  
Face Milling ◽  
Processing Scheme ◽  
Acoustic Emission Sensing ◽  
Vertical Milling Machine ◽  
Time Domain Averaging ◽  
Ae Signals

Acoustic Emission (AE) signal analysis was applied to on-line sensing of tool wear in face milling. Cutting tests were conducted on a vertical milling machine. AE signals, feed and normal components of cutting force and flank wear were measured and compared. A signal processing scheme for intermittent cutting forces and AE signals, based on the concept of time domain averaging (TDA) is proposed. The results indicate that both AE and cutting forces have parameters that correlate closely with flank wear.

High-temperature acoustic emission sensing tests using a Yttrium calcium oxyborate sensor

2014 ◽  
Vol 61 (5) ◽  
pp. 805-814 ◽  
Author(s):  
Joseph A. Johnson ◽  
Kyungrim Kim ◽  
Shujun Zhang ◽  
Di Wu ◽  
Xiaoning Jiang
Keyword(s):  
Acoustic Emission ◽  
High Temperature ◽  
Acoustic Emission Sensing

Material removal monitoring in precision cylindrical plunge grinding using acoustic emission signal

2013 ◽  
Vol 228 (4) ◽  
pp. 715-722 ◽  
Author(s):  
Chen Jiang ◽  
Haolin Li ◽  
Yunfei Mai ◽  
Debao Guo
Keyword(s):  
Acoustic Emission ◽  
Acoustic Emission Signal ◽  
Material Removal ◽  
Grinding Force ◽  
Force Model ◽  
Precision Grinding ◽  
Emission Signal ◽  
Proposed Model ◽  
Acoustic Emission Sensing ◽  
Series Of Experiments

A mathematical model of the acoustic emission signal during a grinding cycle is proposed for the monitoring of material removal in precision cylindrical grinding. Acoustic emission signals generated during precision grinding are sensitive to forces in grinding and present opportunities in accurate and reliable process monitoring. The proposed model is developed on the basis of a traditional grinding force model. Using the developed model, a series of experiments were performed to demonstrate the effectiveness of the acoustic emission-sensing approach in estimating the time constant and material removal in grinding. Results indicate that acoustic emission measurements can be used in the prediction of material removal in precision grinding with excellent sensitivity.

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