Optimization of aluminum recovery from aluminum smelting waste using the surface response methodology

2020 ◽  
Author(s):  
Suprapto Suprapto ◽  
Yatim Lailun Ni’mah ◽  
Ita Ulfin ◽  
Harmami Harmami ◽  
Fredy Kurniawan ◽  
...  
Keyword(s):  
Surface Response Methodology ◽  
Surface Response ◽  
Aluminum Recovery ◽  
Aluminum Smelting

Improving thermal resistance of probiotics through modifications in the fermentative process using surface response methodology

2018 ◽  
Vol 44 ◽  
pp. S91
Author(s):  
A. Torrejon-Cabello ◽  
J. Espí ◽  
J.D. Rivera ◽  
M. Valverde ◽  
A. Valera ◽  
...  
Keyword(s):  
Thermal Resistance ◽  
Surface Response Methodology ◽  
Surface Response ◽  
Fermentative Process

Evaluation of hydrochar efficiency for simultaneous removal of diclofenac and ibuprofen from aqueous system using surface response methodology

2019 ◽  
Vol 26 (10) ◽  
pp. 9796-9804 ◽  
Author(s):  
Tahira Qureshi ◽  
Najma Memon ◽  
Saima Q. Memon ◽  
Handan Yavuz ◽  
Abdesadek Lachgar ◽  
...  
Keyword(s):  
Aqueous System ◽  
Simultaneous Removal ◽  
Surface Response Methodology ◽  
Surface Response

Surface Response Methodology for the Study of Supported Membrane Formation

2007 ◽  
Vol 111 (26) ◽  
pp. 7567-7576 ◽  
Author(s):  
Claire Rossi ◽  
Elisabeth Briand ◽  
Pierre Parot ◽  
Michael Odorico ◽  
Joël Chopineau
Keyword(s):  
Surface Response Methodology ◽  
Membrane Formation ◽  
Supported Membrane ◽  
Surface Response

scholarly journals Fluoride removal efficiencies of Al-EC and Fe-EC reactors: process optimization using Box–Behnken design of the surface response methodology

2020 ◽  
Vol 10 (9) ◽  
Author(s):  
Magori J. Nyangi ◽  
Yonas Chebude ◽  
Kessy F. Kilulya
Keyword(s):  
Treatment Time ◽  
Fluoride Concentration ◽  
Fluoride Removal ◽  
Reactor Model ◽  
Optimal Operating ◽  
Surface Response Methodology ◽  
Box Behnken Design ◽  
Surface Response ◽  
Independent Variables ◽  
Initial Ph

Abstract In this study, surface response methodology was employed to investigate the effect of different interacting factors on the removal of fluoride from synthetic water using aluminum electrocoagulation (Al-EC) and iron electrocoagulation (Fe-EC) in different reactors. Box–Behnken design of a Design Expert version 11 was used for the optimization and evaluation of the process independent variables: applied electric density, initial pH, initial fluoride concentration and treatment time on the efficiency of fluoride removal as a response. Results showed that the effect of current density and initial fluoride concentration was significant model terms for fluoride reduction in Fe-EC and Al-EC reactors, respectively. The Al-EC reactor model presented the R2 value of 79.2% while Fe-EC presented R2 value of 75.8%, showing that both models can predict the response well. The reduction by 94% (initial concentration of 16 mgF/L) was established at optimal operating parameters of 18.5 mAcm−2, pH 6.80 in 50 min using Al-EC. On the other hand, 16 mgF/L was reduced by 92% to 1.28 mgF/L in Fe-EC reactor at optimal condition of 6.5 mAcm−2, pH 6.50 in 50 min. Experimental results correlated well to the model predicted results that were 95 and 94% for Al-EC and Fe-EC, respectively. Both reactors manage to reduce fluoride to a level recommended by WHO (≤ 1.5 mg/L) for drinking purpose.

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