Results 31 to 40 of about 5,630,048 (185)

Influence of grinding methods on the preparation of ultra-clean coal from slime [PDF]

, 2022
This study discusses the technology of coal slime recovery for preparing ultra-clean coal (UCC). X-ray diffraction analysis (XRD) and scanning electron microscopy combined with energy dispersive spectroscopy (SEM-EDS) were used to analyze the ...
Zhuo, Qiming, Wang, Ruiyang, Gao, Liang, Liu, Wenli, Qiming Zhuo, Liang Gao Gao, Ruiyang wang, Wenli Liu   +7 more
core   +1 more source

Effects of particle size on the flotation behavior of coal slime

, 2023
In order to investigate the influence of particle size on the flotation behavior of coal slime, industrial analysis, elementary analysis, and particle size composition analysis were carried out on coal slime.
Zhengbin Deng, Yun Tang, Tianshen Lu, Wanli Cheng   +3 more
core   +1 more source

Composite well washing and production improvement technology of low-yield coalbed methane horizontal wells

Meitan xuebao
Coal slime output poses a common challenge during the coalbed methane drainage process, leading to a decrease in coalbed methane well productivity. The coal slime samples of low-yield coalbed methane wells in No.
Jingjing ZHANG, Shengyong HU, Tianyu SUN, Xiuwei SUN, Ruijin ZHAO, Shuyun GUO, Zixiang WANG, Xinrong REN   +7 more
doaj   +1 more source

Comparison of Efficiencies of Microwave and Conventional Electric Ovens in the Drying of Slime-Coal Agglomerates

, 2017
Currently nearly 6 million tonnes of bituminous coal are produced in Turkey and more than 0.3 million tonnes of slime coal are discarded from the coal-washing plants.
Hacifazlioglu, Hasan
core   +1 more source

On attraction of slime mould Physarum polycephalum to plants with sedative properties [PDF]

, 2011
A plasmodium of acellular slime mould Physarum polycephalum is a large single cell with many nuclei. Presented to a configuration of attracting and repelling stimuli a plasmodium optimizes its growth pattern and spans the attractants, while avoiding ...
Adamatzky, Andrew, Andrew Adamatzky
core   +1 more source

Multiscale influence mechanism of mechanical energy input on flocculation and sedimentation characteristics of coal slime and reagent optimization

Meitan xuebao
As the source technology for the clean processing and utilization of coal, wet separation in coal preparation generates a large amount of coal slime water with a particle size of less than 0.5 mm.
Jie FENG, Hongzheng ZHU, Xiaojian WANG, Zihan JI, Man ZHANG, Kun CHEN, Fanfei MIN   +6 more
doaj   +1 more source

Prospects of Using Gas Hydrates in Power Plants

Energies, 2022
By adding water to fuels, several objectives are pursued, with the main ones being to stabilize combustion, minimize the anthropogenic gaseous emissions, homogenize and stabilize the fuel, as well as improve its fire and explosion safety.
Dmitrii Antonov, Olga Gaidukova, Galina Nyashina, Dmitrii Razumov, Pavel Strizhak   +4 more
doaj   +1 more source

rRNA gene restriction patterns as a characterization tool for Lactobacillus sake strains producing ropy slime [PDF]

, 1996
http://www.elsevier.nl/locate/01681605The rRNA gene restriction patterns (ribotypes) of 69 ropy slime producing Lactobacillus sake strains isolated mainly from vacuum-packaged meat products of ten meat plants were determined.
Björkroth, Johanna, Hannu Korkeala, Korkeala, Hannu, Johanna Björkroth   +3 more
core   +1 more source

Effects of Composite Reagents on the Flocculation and Settling Performance of Slime Water

Kuangchan zonghe liyong
[Objective] To explore the flocculation and sedimentation laws of several flocculants and coagulants under different dosage conditions and optimize the chemical system for treating coal slime water.
Dajiang GENG, Huanzhong WANG, Huaizhi SHAO, Li LIU, Xiaoyi LI, Dongping TAO   +5 more
doaj   +1 more source

Framework and key technologies of intelligent coal preparation plant

Gong-kuang zidonghua, 2019
According to connotation of intelligent coal preparation plant, framework of intelligent coal preparation plant was introduced from aspects of Internet of things layer, control layer, management layer and decision-making layer.
WANG Ranfeng, GAO Jianchuan, FU Xiang
doaj   +1 more source