Results 51 to 60 of about 609 (196)
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
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
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
Guide for the microscopical identification of ore and gangue minerals [PDF]
Reflected-light microscopy is an essential method in earth and materials sciences for the observation of opaque minerals in rocks, metallic ores, coals, and of synthetic phases in slags, cements, metalls/alloys and coal.
Neumann, Udo
core +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
Coal gangue image recognition model based on CSPNet-YOLOv7 target detection algorithm [PDF]
The gangue recognition technology is one of the key technologies in the intelligent construction of mines. To address the problem of low accuracy of the gangue recognition model caused by low illumination and high dust environment at the working face and
Dalian XU +4 more
core +1 more source
Accurate recognition of coal-gangue image based on lightweight HPG-YOLOX-S model
The existing coal-gangue separation methods based on vision technology have problems of large model parameter amount, poor feature extraction capability and low recognition precision. In order to solve the above problems, a coal-gangue recognition method
DAI Wei +5 more
core +1 more source
In order to clearly grasp the influence rules of the coal gangue volume mixture ratio on the system contact response, and finally realize the coal gangue mixing ratio recognition according to the contact response differences, on the basis of the Hertz ...
Yang Yang +3 more
doaj +1 more source
3D thermal mapping of smoldering coal gangue pile fires using airborne thermal infrared data
Smoldering coal gangue pile fires pollute the air, soil and groundwater severely. Physical and chemical explosions between water and fiery coal gangue may occur, resulting in a large number of casualties.
Zhenlu Shao +5 more
doaj +1 more source
Fluidized gangue backfilling controls mining subsidence through stress redistribution in composite backfill‐pillar systems, reducing surface settlement and stress concentrations. Multi‐scale experimental and numerical analysis provides quantitative design parameters for optimizing ground control in sustainable underground coal mining operations ...
Weilong Zhang +11 more
wiley +1 more source

