Ore and Coal Processing with the Turbocharger Electrostatic Separator

1990 ◽  
pp. 427-439 ◽  
Author(s):  
R. Ciccu ◽  
G. Alfano ◽  
P. Carbini ◽  
M. Ghiani ◽  
N. Passarini ◽  
...  
Keyword(s):  
Coal Processing ◽  
Electrostatic Separator

scholarly journals Modeling metallurgical responses of coal Tri-Flo separators by a novel BNN: a “Conscious-Lab” development

2021 ◽  
Author(s):  
Mehdi Alidokht ◽  
Samaneh Yazdani ◽  
Esmaeil Hadavandi ◽  
Saeed Chehreh Chelgani
Keyword(s):  
Laboratory Experiments ◽  
Scaling Up ◽  
Dense Medium ◽  
Support Vector ◽  
Coal Processing ◽  
Separation Device ◽  
Modeling Methods ◽  
Machine Learning Methods ◽  
Coal Washery ◽  
First Time

AbstractTri-flo cyclone, as a dense-medium separation device, is one of the most typical environmentally friendly industrial techniques in the coal washery plants. Surprisingly, no detailed investigation has been conducted to explore the effectiveness of tri-flo cyclone operating parameters on their representative metallurgical responses (yield and recovery). To fill this gap, this work for the first time in the coal processing sector is going to introduce a type of advanced intelligent method (boosted-neural network “BNN”) which is able to linearly and nonlinearly assess multivariable correlations among all variables, rank them based on their effectiveness and model their produced responses. These assessments and modeling were considered a new concept called “Conscious Laboratory (CL)”. CL can markedly decrease the number of laboratory experiments, reduce cost, save time, remove scaling up risks, expand maintaining processes, and significantly improve our knowledge about the modeled system. In this study, a robust monitoring database from the Tabas coal plant was prepared to cover various conditions for building a CL for coal tri-flo separators. Well-known machine learning methods, random forest, and support vector regression were developed to validate BNN outcomes. The comparisons indicated the accuracy and strength of BNN over the examined traditional modeling methods. In a sentence, generating a novel BNN within the CL concept can apply in various energy and coal processing areas, fill gaps in our knowledge about possible interactions, and open a new window for plants' fully automotive process.

Performance of hot-gas cleanup technology for clean coal processing

Fuel ◽  
2021 ◽  
Vol 294 ◽  
pp. 120539
Author(s):  
Yi-Shun Chen ◽  
Jhe-Yu Lin ◽  
Yau-Pin Chyou
Keyword(s):  
Coal Processing ◽  
Clean Coal ◽  
Hot Gas

Belt-Type Corona-Electrostatic Separator for the Recovery of Conductive and Nonconductive Products From Micronized Wastes

2017 ◽  
Vol 53 (2) ◽  
pp. 1424-1430 ◽  
Author(s):  
Sara Messal ◽  
Thami Zeghloul ◽  
Abdelkader Mekhalef Benhafssa ◽  
Lucian Dascalescu
Keyword(s):  
Electrostatic Separator

Energy planning under uncertainty Implications for coal processing and oil stocking policy

Energy Policy ◽  
1983 ◽  
Vol 11 (3) ◽  
pp. 204-216 ◽  
Author(s):  
Nigel Lucas ◽  
Dimitri Papaconstantinou
Keyword(s):  
Energy Planning ◽  
Planning Under Uncertainty ◽  
Coal Processing

A New Electrostatic Separator and Sizer for Small Particles

1983 ◽  
Vol IA-19 (3) ◽  
pp. 318-323 ◽  
Author(s):  
Ion I. Inculet ◽  
Yuji Murata ◽  
G. S. Peter Castle
Keyword(s):  
Small Particles ◽  
Electrostatic Separator

Multivariate Control for Three Variables of an Industrial Roll-Type Electrostatic Separator

2015 ◽  
Vol 51 (6) ◽  
pp. 4752-4758
Author(s):  
Khouira Senouci ◽  
Karim Medles ◽  
Sara Messal ◽  
Lucian Dascalescu
Keyword(s):  
Roll Type ◽  
Electrostatic Separator ◽  
Multivariate Control

scholarly journals The role of a chemical loop in removal of hazardous contaminants from coke oven wastewater during its treatment

2019 ◽  
Vol 17 (1) ◽  
pp. 1288-1300
Author(s):  
Anna Kwiecińska-Mydlak ◽  
Marcin Sajdak ◽  
Katarzyna Rychlewska ◽  
Jan Figa
Keyword(s):  
Chemical Treatment ◽  
Treatment Process ◽  
Oxygen Demand ◽  
Coke Oven ◽  
Main Role ◽  
Biological Processes ◽  
Coal Processing ◽  
Wastewater Treatment Process ◽  
Iron Based

AbstractCoke oven liquor is one of the most contaminated liquid streams generated by the coal processing industry, thus its proper treatment and utilization is crucial for sustainable and environmentally neutral plant operation. The conventional wastewater treatment process comprises of chemical and biological processes. Within the current research the detailed role of chemical treatment is described. Commercially available iron-based coagulants (PIX100, PIX100COP, PIX113, PIX116) were tested to understand their removal efficiency and impact on the stream parameters. The influence of iron dose in the range of 300-500 mgFe/L on the process performance was also examined.It was found that the main role of chemical treatment was to bind toxicants harmful to activated sludge microorganisms, i.e. free and complex cyanides and sulphides. Among the tested iron-based conventional coagulants ferrous salts were more efficient than ferric salts. It was also observed that efficiency of the process strongly depended on wastewater properties (especially in regard to pH, which should be in the range of 9-10) and the coagulant selection needed to be done individually for a given wastewater type. The removal rates of particular contaminants were diversified and for free cyanides, complex cyanides and sulphides they were in the range of 23-91%, -156-77% and -357-98%, respectively. The expected, simultaneous removal of chemical oxygen demand (COD) during the treatment was not observed and even the parameter value increased after the process due to probable formation of compounds less vulnerable to oxidation.

Numerical simulation of the behavior of insulating particles in a free fall tribo-electrostatic separator with four vertical cylindrical electrodes

2019 ◽  
Vol 97 ◽  
pp. 8-14 ◽  
Author(s):  
S. Touhami ◽  
W. Aksa ◽  
M. Maammar ◽  
T. Zeghloul ◽  
K. Medles ◽  
...  
Keyword(s):  
Numerical Simulation ◽  
Free Fall ◽  
Electrostatic Separator
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