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Intelligent Mining and Green Mining of Coal Mines

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Green Sustainable Science and Technology".

Deadline for manuscript submissions: closed (20 November 2023) | Viewed by 1143

Special Issue Editor


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Guest Editor
State Key Laboratory Coal Resources and Safe Mining, China University of Mining and Technology, Xuzhou 221116, China
Interests: intelligent mining technology and equipment for coal mines; perception and safety assurance of surrounding rock health; control of tunnel surrounding rock

Special Issue Information

Dear Colleagues,

The coordination of mining and excavation is a key issue of concern for coal production, but the development of excavation technology lags behind the generation of mining technology and cannot meet the needs of modern, large-scale mine production. The geological conditions of coal mines are complex and variable, and intelligent excavation technology has significantly changed the strain scale, deformation time, and stress migration of surrounding rocks. In addition, the construction space of underground tunnels is narrow, there are many disturbances, and the process is complex. The existing excavation equipment cannot meet the requirements of high reliability, high adaptability, high automation, and intelligence. Therefore, this Special Issue aims to showcase new ideas and experimental results in the field of intelligent fast excavation theory and key technology equipment, from theory to practical application.

Related fields include (but are not limited to): the surrounding rock control theory of intelligent rapid excavation systems in coal tunnels, the correlation theory of airborne advanced drilling response and perception while drilling, intelligent excavation equipment positioning and navigation based on multisource information, equipment health perception and risk warning based on big data, and other topics.

This Special Issue will publish high-quality original research papers in the overlapping fields mentioned above.

Prof. Dr. Xingliang Xu
Guest Editor

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Keywords

  • key technologies and complete equipment for intelligent excavation in coal mines
  • intelligent perception and safety assurance of tunnels
  • mining rock mechanics
  • tunnel surrounding rock control
  • green coal mining

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Published Papers (1 paper)

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Research

17 pages, 8529 KiB  
Article
Analysis of the Influence of Surrounding Rock State on Working Performance of Cutting Head in Metal Mining
by Weipeng Xu, Lirong Wan, Kuidong Gao, Yu Bu, Meng Xu, Shenghao Ma and Kao Jiang
Appl. Sci. 2024, 14(1), 340; https://doi.org/10.3390/app14010340 - 29 Dec 2023
Viewed by 862
Abstract
Continuous mining is one of the development goals for metal mines, and the application of coal mining equipment represented by shearers provides a reference for continuous mining. However, rock in metal mines is generally harder than coal, making cutting difficult. Improving the surrounding [...] Read more.
Continuous mining is one of the development goals for metal mines, and the application of coal mining equipment represented by shearers provides a reference for continuous mining. However, rock in metal mines is generally harder than coal, making cutting difficult. Improving the surrounding rock conditions is an important way to improve the applicability of the drum for hard rock cutting. Therefore, this article explores the correlation between drum-cutting performance and surrounding rock boundary conditions, aiming to obtain surrounding rock boundary conditions that can help improve drum-cutting performance. To achieve the goal, a model of a shearer drum and hard rock is established using finite element software. With the model, hard rock cutting was simulated and the stress distribution on rock mass, deformation of rock mass, and drum cutting force during the cutting process under different confining pressures were analyzed. Relations between drum cutting force and confining pressure on rock mass were obtained. Then, drum cutting force under different free surfaces of rock mass are studied and the positions of free surface on rock mass that help to reduce the drum cutting force were summarized. According to the research, when the rock mass is under uniaxial compression, drum cutting force increases with the confining pressure on the rock mass; In addition, the free surfaces on the rock mass are proved to be helpful to reduce the drum cutting force. The research content lays the foundation for the boundary conditions required to reduce drum-cutting force in metal mining. Full article
(This article belongs to the Special Issue Intelligent Mining and Green Mining of Coal Mines)
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