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Fuel ◽  
2022 ◽  
Vol 315 ◽  
pp. 123134
Author(s):  
Yanfei Chen ◽  
Yukun Lu ◽  
Zekun Guan ◽  
Shoujie Liu ◽  
Chao Feng ◽  
...  

2022 ◽  
pp. 117429
Author(s):  
Shuaifeng Zhang ◽  
Qinghua Zhang ◽  
Bo Kong ◽  
Chao Yang ◽  
Rodney O. Fox

Processes ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. 2266
Author(s):  
Meng-Jie Tao ◽  
Ya-Jun Wang ◽  
Jun-Guo Li ◽  
Ya-Nan Zeng ◽  
Shao-Hua Liu ◽  
...  

Argon oxygen decarburization stainless steel slag (AOD slag) has high mineral carbonation activity. AOD slag carbonation has both the resource utilization of metallurgical waste slag and the carbon reduction effect of CO2 storage. This paper aimed to study carbonation reaction characteristics of AOD slag. Under the slurry-phase accelerated carbonation route, the effect of stirring speed (r) and reaction temperature (T) on AOD slag’s carbonation was studied by controlling the reaction conditions. Mineral composition analysis and microscopic morphology analysis were used to explore the mineral phase evolution of AOD slag during the carbonation process. Based on the unreacted core model, the kinetic model of the carbonation reaction of AOD slag was analyzed. The results showed that the carbonation ratio of AOD slag reached its maximum value of 66.7% under the reaction conditions of a liquid to solid ratio (L/S) of 8:1, a CO2 partial pressure of 0.2 MPa, a stirring speed of 450 r.min−1, and a reaction temperature of 80 °C. The carbonation reaction of AOD slag was controlled by internal diffusion, and the calculated apparent activation energy was 22.28 kJ/mol.


Crystals ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 1498
Author(s):  
Ya-Jun Wang ◽  
Meng-Jie Tao ◽  
Jun-Guo Li ◽  
Ya-Nan Zeng ◽  
Song Qin ◽  
...  

EAF stainless steel slag (EAF slag) is one kind of chromium-bearing metallurgical solid waste, which belongs to alkaline steel slag, and contains a large number of alkaline mineral phases. The carbonation activity of these minerals gives EAF slag the capability to effectively capture CO2. In this paper, EAF slag samples with different carbonation degrees were prepared by the slurry-phase accelerated carbonation route. The mineralogical identification analysis was used to qualitatively and semi-quantitatively determine the types and contents of the carbonatable mineral phases in the EAF slag. The sequential leaching test was used to study the chromium leachabilities in EAF slags with different carbonation degrees. The results showed that the main minerals with carbonation activity in EAF slag were Ca3Mg(SiO4)2 and Ca2SiO4, with mass percentages of 56.9% and 23%, respectively. During the carbonation process, Ca2SiO4 was the main reactant and calcite was the main product. As the degree of carbonation increased, the pH of the EAF slags’ leachate gradually decreased while the redox potential (Eh) gradually increased. At the same time, a large amount of Ca2+ in the EAF slag combined with CO2 to form slightly soluble calcium carbonate, which led to a significant decrease in the conductivity of the leachate. With the gradual increase in carbonation ratio, the leachability of chromium in the EAF slag first decreased and then increased, and reached its lowest value when the CO2 uptake ratio was 11.49%.


Author(s):  
Amit K. Thakur ◽  
Santosh K. Gupta ◽  
Rahul Kumar ◽  
Nilanjana Banerjee ◽  
Pranava Chaudhari

Abstract Slurry polymerization processes using Zeigler–Natta catalysts are most widely used for the production of polyethylene due to their several advantages over other processes. Optimal operating conditions are required to obtain the maximum productivity of the polymer at minimal cost while ensuring operational safety in the slurry phase ethylene polymerization reactors. The main focus of this multi-objective optimization study is to obtain the optimal operating conditions corresponding to the maximization of productivity and yield at a minimal operating cost. The tuned reactor model has been optimized. The single objective optimization (SOO) and multi-objective optimization (MOO) problems are solved using non-dominating sorting genetic algorithm-II (NSGA-II). A complete range of Pareto optimal solutions are obtained to obtain the maximum productivity and polymer yield at different input costs.


Fuel ◽  
2021 ◽  
pp. 122481
Author(s):  
Hung Hai Pham ◽  
Suk Hyun Lim ◽  
Kang Seok Go ◽  
Nam Sun Nho ◽  
Eun Hee Kwon ◽  
...  

Author(s):  
Carlos L. Bassani ◽  
Jean-Michel Herri ◽  
Ana Cameirão ◽  
Rigoberto E. M. Morales ◽  
Amadeu K. Sum

Author(s):  
Barbara Browning ◽  
Pedro Alvarez ◽  
Tim Jansen ◽  
Maxime Lacroix ◽  
Christophe Geantet ◽  
...  

Author(s):  
Qing-Yan Cui ◽  
Hao-Bin Zhan ◽  
Ting-Hai Wang ◽  
Chao Yan ◽  
Yan-Ning Cao ◽  
...  
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