Results 41 to 50 of about 4,764 (197)

Analysis of the vibration characteristics of tail beam of the hydraulic support under random coal gangue particle slip conditions

PLoS ONE, 2022
To study the influence of the gangue content of coal gangue particles on the vibration signal of the tail beam under sliding condition, this paper combines three-dimensional(3D) laser scanning technology with the finite element method, establishes a ...
Lirong Wan, Jiantao Wang, Dejian Ma, Qingliang Zeng, Zhaoji Li, Yang Yang   +5 more
doaj   +2 more sources

Application of remote sensing method in coal fire identification in Ningwu Coalfield [PDF]

, 2023
Coal fire cause serious influence on environment, economy and safety of surrounding area. It is of great significance to accurately identify the scope of coal fire caused by spontaneous combustion in coal field for monitoring and controlling coal fire ...
Jiayuan KONG, Xinjun ZHANG, Gang SUI, Hesheng ZHANG, Yurong GAO   +4 more
core   +1 more source

Vibration-acoustic response characteristics of hydraulic support tail beam under coal-gangue impact

Gong-kuang zidonghua
Coal-gangue identification is a key technology for reducing the gangue content in raw coal during fully mechanized top-coal caving mining. Affected by the high dust concentration, low visibility, and limited operating space in underground working ...
YANG Yang, GAO Jian, DING Shuangjie, WU Shuowen, CAO Yanze, LIU Yilin, WANG Yukun   +6 more
doaj   +1 more source

Coal gangue detection and recognition algorithm based on deformable convolution YOLOv3

IET Image Processing, 2022
The intelligentisation of coal mines is the only approach to the high‐quality development of the coal industry. Detection, identification and sorting of coal gangue is an important part of the intelligentisation of coal mines.
De‐yong Li, Guo‐fa Wang, Yong Zhang, Shuang Wang   +3 more
doaj   +1 more source

Wireless Sensing for Monitoring of Coal Gangue Mixing Based on PT Symmetry

IEEE Access, 2022
The challenge in using fully mechanized caving mining technology for thick coal seam mining is monitoring the mixing ratio of coal gangue during the top coal caving process.
Haoyan Xi, Yong Dong, Lei Zhang, Yanhong Liu, Xiaoqiang Su, Caixia Feng, Feng Zang, Lijuan Dong, Yunlong Shi   +8 more
doaj   +1 more source

Mechanism and disaster control new technology of strong ground pressure manifestation in ultra‐large mining face

Deep Underground Science and Engineering, EarlyView.
In response to the problem of strong mining pressure manifestation along the goaf roadway in a thick coal seam mining area, this study uses a new type of combined blasting roof cutting technology to effectively control the manifestation and deformation of mining pressure along the goaf roadway.
Xiaoding Xu, Manchao He, Jun Yang, Yubing Gao, Qiang Fu, Qing Ma, Yajun Wang   +6 more
wiley   +1 more source

Modeling the Thermal Properties of Hydrogen‐Based Direct Reduced Iron Using Computational Thermodynamics and Machine Learning

steel research international, EarlyView.
Hydrogen‐based direct reduced iron (H‐DRI) melts differently from scrap and carbon‐bearing DRI. This work combines differential scanning calorimetry experiments, FactSage thermodynamics, and simple composition‐based regression to predict solidus, liquidus, heat capacity, and enthalpy for H‐DRI.
Ankur Agnihotri, Petri Sulasalmi, Pasquale Cavaliere, Ville‐Valtteri Visuri   +3 more
wiley   +1 more source

Barriers to Steel Decarbonization

steel research international, EarlyView.
Main identified barriers to steel decarbonization Carbon dioxide (CO2) emissions are a leading contributor to global climate change, necessitating urgent mitigation strategies. While various metrics—such as total national emissions, per‐capita output, and historical contributions—define responsibility, determining accountability remains complex ...
Pasquale Cavaliere
wiley   +1 more source

Coal gangue image recognition model based on improved U−Net and top coal caving control [PDF]

Coal gangue identification technology is a critical component for the automation of fully mechanized mining faces and represents a significant challenge within this domain.
Yong YUAN, Rang WU, Yongqi XIA, Libao LI, Zhenghan QIN, Yong LI   +5 more
core   +1 more source

Research on cloud-edge-terminal collaborative intelligent control of coal shearer based on 5G communication [PDF]

, 2023
The current shearer control system is difficult to deal with the complex working conditions of the underground working face. The realization of the intelligent height and speed regulation control of the shearer is faced with three major technical ...
Yao CUI, Zhuang YE
core   +1 more source