Results 51 to 60 of about 1,939 (176)
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 +6 more
wiley +1 more source
Image recognition method of coal gangue in complex working conditions based on CES-YOLO algorithm [PDF]
Aiming at the complex working conditions environmental factors such as high noise, low illumination, motion blur and mass gangue mixing in coal mines, which lead to the problems of misdetection, omission and low detection accuracy in gangue recognition ...
Deyong LI +4 more
core +1 more source
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 +3 more
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 +5 more
core +1 more source
This study investigates the reduction of pure iron oxides and industrial iron ore using hydrogen gas as a reducing agent. Additionally, to determine whether the reduction process can be accelerated, electromagnetic fields of 50 Hz and 25 kHz were applied.
Mykyta Levchenko +5 more
wiley +1 more source
Barriers to Steel Decarbonization
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
Research on Coal Gangue Detection and Recognition Based on Lightweight Network MS-YOLOV3
The rapid and accurate detection and identification of coal gangue is one of the premises and key technologies of the intelligent separation of coal gangue, which is of considerable importance for the separation of coal gangue. Focusing on the problems in the current deep learning algorithms for the detection and recognition of coal gangue, such as ...
Deyong Li +4 more
openaire +1 more source
Geopolymers are presented as a chemically programmable platform whose properties emerge from activation chemistry, nanoscale disorder, and interfacial design. The review highlights sustainability challenges, the shift toward nanoengineered and hybrid systems, and the rise of halloysite‐based architectures enabling tunable structures across scales for ...
Martina Maria Calvino +4 more
wiley +1 more source
Toward Carbon Neutrality: Pathways and Challenges in Green Steel Production
ABSTRACT Steel, a cornerstone of modern civilization and economic growth, has experienced exponential production growth, resulting in substantial carbon emissions owing to reliance on fossil‐based reducing agents and fuels. Although conventional steelmaking methods have improved, achieving the climate targets outlined in the Paris Agreement requires ...
Xianfeng Hu +3 more
wiley +1 more source
Target Recognition of Coal and Gangue Based on Improved YOLOv5s and Spectral Technology
Aiming at the problems of long detection time and low detection accuracy in the existing coal gangue recognition, this paper proposes a method to collect the multispectral images of coal gangue using spectral technology and match with the improved ...
Pengcheng Yan +5 more
core +1 more source

