Optimization of selective leaching of Zn from electric arc furnace steelmaking dust using response surface methodology

Kul, Mehmet; Oskay, Kürşad Oğuz; Şi̇mşi̇r, Mehmet; Sübütay, Halit; Kirgezen, Habip

doi:10.1016/s1003-6326(15)63900-0

Cited by 51 publications

(14 citation statements)

References 20 publications

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“…In recent years, quite a lot of studies at home and abroad have involved the zinc-bearing dust sludge, but most of them only focused on the zinc recovery process, mainly including hydrocyclone extraction of zinc [5], zinc extraction by hydrometallurgical leaching [6][7], zinc extraction by pyrogenic process and wet-fire joint process [8][9]. Zinc leaching thermodynamics from zinc-bearing dust sludge was seldom reported.…”

Section: Introductionmentioning

confidence: 99%

Atmospheric sulfuric acid leaching thermodynamics from metallurgical zinc-bearing dust sludge

Zhang¹,

Sun²,

Niu³

et al. 2018

IJHT

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In this paper, the influence of zinc and iron reaction in sulfuric acid leaching system, the influence of the parameters on the leaching of zinc sulfate and the reaction conditions for the subsequent leachate purification were systematically studied. It is suggested that the primary zinc and iron phases in metallurgical zinc-bearing dust sludge are ZnO, ZnS, ZnFe2O4, Fe, Fe2O3 and Fe3O4. In Zn-Fe-H2O system, as the concentrations of zinc and iron ions in solution increase, each component therein remains unchanged. The dominant area is subjected to change with solution pH. When the potential and pH are respectively controlled within a different scope, Zn, Fe separation proceeds at the different levels. Fe2O3 is difficult to be leached when sulfuric acid is used as an agent. ZnO is leached while the iron ion is inhibited by pH control. It is found by comparison of lg[C]-pH maps of Fe2O3 and Fe(OH)2, Fe(OH)3 that in the treatment of subsequent leachate, Fe 2+ can be oxidized into Fe 3+ by adding an proper amount of the oxidant to solution, and Fe 3+ forms Fe(OH)3 sediment by additive NaOH in solution. This hits the mark of iron removal. The research results have important theoretical significance for the leaching and purification process of alkali leaching-electrolysis process.

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Section: Introductionmentioning

confidence: 99%

Atmospheric sulfuric acid leaching thermodynamics from metallurgical zinc-bearing dust sludge

Zhang¹,

Sun²,

Niu³

et al. 2018

IJHT

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“…If the p-value is smaller than 0.05, the model is significant. The results indicated that the models used to fit the response variable were significant and adequate to represent the relationship between the response and the factors [14]. The lack of fit p-value R m , R p and R t are 0.114, 0.087 and 0.094, respectively, which imply that the lack of fits values are insignificant.…”

Section: Resultsmentioning

confidence: 92%

Optimization of Electrophoretic Deposition of YSZ

Oskay

Demirel

2018

Acta Phys. Pol. A

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Electrophoretic deposition has acquired increasing interest for its outstanding potential to produce thick ceramic coatings on complex-shaped substrates. This makes electrophoretic deposition a promising technique to obtain ceramic coatings for several applications such as solid oxide fuel cells, thermal barrier coatings and biomaterials. Response surface methodology was used to model and optimize the electrophoretic deposition process. Three mathematical models were derived to understand the kinetics of electrophoretic deposition. The optimization results showed that applied voltage had significant effects on the packing density of YSZ particles.

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“…ANOVA analysis for Y 1, Y 2 and Y 3 values were shown in Tables 4-6. P value is a statistical measure that determines whether or not a parameter or its interaction was effective on the response. If P value is lower than 0.05 (5% of probability value) by considering 95% of the confidence bounds, the variables of experiment have statistically meaningful effect on the results [7]. For instance, P-value for Y 1 was calculated as 0.0001 based on the F test value was 22.8338.…”

Section: Statistical Analysis Of Experimental Datamentioning

confidence: 99%

“…Experimental design is a statistical method used for determining the most suitable experiments in order to provide consistency with a specific mathematical model. Moreover, it is an effective way to ensure obtained results which are acceptable and objective results [4,6,7]. The compositions and process parameters of unused new fresh casting sand in foundry were optimized through Taguchi method in literature [5].…”

Section: Introductionmentioning

confidence: 99%

Optimization of Molding Unused New Sand Composition by Mixture Design Method

Kul¹,

Oskay²,

Akça³

et al. 2018

Cumhuriyet Science Journal

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In this study, various parameters which affect the green strength, gas permeability and shear strength of unused casting sands were investigated in order to improve the quality of casting sands used in Estaş casting foundry. These parameters were chosen as water ratio % (X 1), coal powder % (X 2), active bentonite % (X 3) and unused new sand % (X 4). Mixture design (MD) method was used in the optimization studies. At the end of studies, the optimum X 1 , X 2 , X 3 and X 4 values, which maximize the compressive strength (Y 1), shear strength (Y 2) and gas permeability (Y 3) values, were determined as 3.50%, 6.00%, 6.66% and 83.08%, respectively. Y 1 , Y 2 and Y 3 values were determined as 12.7 N/Cm 2 , 4.0 N/cm 2 and 66 mmWS at these optimum X 1 , X 2 , X 3 and X 4 values.

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Optimization of selective leaching of Zn from electric arc furnace steelmaking dust using response surface methodology

Cited by 51 publications

References 20 publications

Atmospheric sulfuric acid leaching thermodynamics from metallurgical zinc-bearing dust sludge

Atmospheric sulfuric acid leaching thermodynamics from metallurgical zinc-bearing dust sludge

Optimization of Electrophoretic Deposition of YSZ

Optimization of Molding Unused New Sand Composition by Mixture Design Method

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