scholarly journals Analysis of Acoustic Emission on White-Coated Paperboard During a Wedge Cutting Process

10.5772/33432 ◽  
2012 ◽  
Author(s):  
Yasushi Fukuzawa ◽  
Shigeru Nagasaw
Keyword(s):  
Acoustic Emission ◽  
Cutting Process

Acoustic emission of a cutting process

Ultrasonics ◽  
1977 ◽  
Vol 15 (1) ◽  
pp. 17-20 ◽  
Author(s):  
I. Grabec ◽  
P. Leskovar
Keyword(s):  
Acoustic Emission ◽  
Cutting Process

scholarly journals Interrelationships between Acoustic Emission and Cutting Force in Rock Cutting

Geofluids ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Sifei Liu ◽  
Peng Shi ◽  
Zhijun Wan ◽  
Shuaifeng Lu ◽  
Jiakun Lv ◽  
...  
Keyword(s):  
Acoustic Emission ◽  
Fractal Dimension ◽  
Cutting Force ◽  
Intelligent Control ◽  
Rock Cutting ◽  
Cutting Process ◽  
Structure Stability ◽  
Whole Process ◽  
Ae Energy ◽  
Precursor Information

Cutting force is the key signal to realize intelligent control of shearer and mastering the change process of cutting force is helpful to improve the adaptive cutting of shearer. In this paper, full scale rock cutting tests are used to carry out single pick cutting experiments on three kinds of coal, and the acoustic emission (AE) signals of coal and rock cutting are monitored in the whole process. The relationship between AE and cutting force is also discussed. The results show that the development of AE energy can represent the different stages of the cutting process, and the time fractal dimension of AE energy can reveal the change law of coal structure stability. In addition, the acoustic emission waveform at the peak cutting force of the same kind of coal has the same main frequency, power spectrum density (PSD) variation law, and the area under PSD curve; for different types of coal, the area under PSD curve at peak cutting force increases with the increase of USC. In the cutting process, the AE signal has obvious characteristics and internal evolution law in energy amplitude, fractal dimension, and PSD index. The change characteristics of AE energy can be used as the precursor information of the peak cutting force, and the coal failure at the peak cutting force has the identity. The above conclusions are of great significance for intelligent control of shearer and intelligent mining of coal mine.

Analysis acoustic emission and sound during the paperboard of cutting process

2007 ◽  
Vol 192-193 ◽  
pp. 134-138
Author(s):  
Y. Fukuzawa ◽  
S. Nagasawa ◽  
S. Suzuki ◽  
I. Katayama ◽  
A. Sadamoto
Keyword(s):  
Acoustic Emission ◽  
Cutting Process

Rapid Determining of the Optimum Operation Mode for Abrasive Waterjet Cutting Process by Means of Acoustic Emission

2014 ◽  
Vol 698 ◽  
pp. 401-404 ◽  
Author(s):  
Andrej L. Galinovskij ◽  
Mikhail I. Abashin ◽  
Maksim V. Khafizov
Keyword(s):  
Acoustic Emission ◽  
Operation Mode ◽  
Cutting Performance ◽  
Cutting Process ◽  
Abrasive Waterjet ◽  
The Finite Element Method ◽  
Optimum Conditions ◽  
Experiment Data ◽  
Emission Data ◽  
Waterjet Cutting

The article reflects the possibility to solve the problem of choosing waterjet cutting optimum conditions based on acoustic emission data. Modeling of the waterjet cutting process by the finite-element method is carried out. The existence of an optimum point in the waterjet cutting performance is shown. Corresponding experiment data is gathered and compared with the simulation results. The correlation between the waterjet cutting performance and the acoustic emission data is shown.

Sign in / Sign up

Export Citation Format

Share Document