Interrelationships between Acoustic Emission and Cutting Force in Rock Cutting

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...

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Main Authors: Sifei Liu, Peng Shi, Zhijun Wan, Shuaifeng Lu, Jiakun Lv, Fanfei Meng
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Geofluids
Online Access:http://dx.doi.org/10.1155/2021/6694532
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author Sifei Liu
Peng Shi
Zhijun Wan
Shuaifeng Lu
Jiakun Lv
Fanfei Meng
author_facet Sifei Liu
Peng Shi
Zhijun Wan
Shuaifeng Lu
Jiakun Lv
Fanfei Meng
author_sort Sifei Liu
collection DOAJ
description 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.
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institution Kabale University
issn 1468-8115
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language English
publishDate 2021-01-01
publisher Wiley
record_format Article
series Geofluids
spelling doaj-art-10ae47f7058d40dcb59eb986f6ca1d072025-02-03T05:49:51ZengWileyGeofluids1468-81151468-81232021-01-01202110.1155/2021/66945326694532Interrelationships between Acoustic Emission and Cutting Force in Rock CuttingSifei Liu0Peng Shi1Zhijun Wan2Shuaifeng Lu3Jiakun Lv4Fanfei Meng5School of Mines, China University of Mining and Technology, Xuzhou 221116, ChinaSchool of Mines, China University of Mining and Technology, Xuzhou 221116, ChinaSchool of Mines, China University of Mining and Technology, Xuzhou 221116, ChinaSchool of Mines, China University of Mining and Technology, Xuzhou 221116, ChinaSchool of Mines, China University of Mining and Technology, Xuzhou 221116, ChinaDepartment of Earth Resources Engineering, Faculty of Engineering, Kyushu University, Fukuoka 819-0395, JapanCutting 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.http://dx.doi.org/10.1155/2021/6694532
spellingShingle Sifei Liu
Peng Shi
Zhijun Wan
Shuaifeng Lu
Jiakun Lv
Fanfei Meng
Interrelationships between Acoustic Emission and Cutting Force in Rock Cutting
Geofluids
title Interrelationships between Acoustic Emission and Cutting Force in Rock Cutting
title_full Interrelationships between Acoustic Emission and Cutting Force in Rock Cutting
title_fullStr Interrelationships between Acoustic Emission and Cutting Force in Rock Cutting
title_full_unstemmed Interrelationships between Acoustic Emission and Cutting Force in Rock Cutting
title_short Interrelationships between Acoustic Emission and Cutting Force in Rock Cutting
title_sort interrelationships between acoustic emission and cutting force in rock cutting
url http://dx.doi.org/10.1155/2021/6694532
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AT pengshi interrelationshipsbetweenacousticemissionandcuttingforceinrockcutting
AT zhijunwan interrelationshipsbetweenacousticemissionandcuttingforceinrockcutting
AT shuaifenglu interrelationshipsbetweenacousticemissionandcuttingforceinrockcutting
AT jiakunlv interrelationshipsbetweenacousticemissionandcuttingforceinrockcutting
AT fanfeimeng interrelationshipsbetweenacousticemissionandcuttingforceinrockcutting