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Optimization of Flotation Reagents Specific Consumption, by Modeling during Mineral Enrichment

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Optimization of Flotation Reagents Specific Consumption, by Modeling during Mineral Enrichment

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References

19 Cites in Article
  1. 1. M Sheridan,D Nagaraj,D Fornasiero,J Ralston (2002). The use of a factorial experimental design to study collector properties of N-allyl-O-alkyl thionocarbamate collector in the flotation of a copper ore. Minerals Engineering, 15(5), 333-340.
  2. 2. V Smar,R Klimpel,F Aplan (1994). ΚΊEvaluation of chemical and operational variables for the flotation of a copper ore Part I-collector concentration, frother concentration, and air flow rateΚΊ. Int. J. Miner. Process, 42, 225-240.
  3. 3. D Bradshaw,B Oostendorp,P Harris (2005). ΚΊDevelopment of methodologies to improve the assessment of reagent behaviour in flotation with particular reference to collectors and depressantsΚΊ. Miner. Eng, 18, 239-246.
  4. 4. Mikko MΓ€kelΓ€ (2017). Experimental design and response surface methodology in energy applications: A tutorial review. Energy Conversion and Management, 151, 630-640.
  5. 5. M Anderson,P Whitcomb (2000). DOE Simplified, ΚΊPractical Tools for Effective Experimentation Productivity PressΚΊ. DOE Simplified, ΚΊPractical Tools for Effective Experimentation Productivity PressΚΊ
  6. 6. Zhenjiang Tan,Shan Song,Juan Han,Yun Wang,Yang Lu,Yongsheng Yan (2013). Optimization of partitioning process parameters of chloramphenicol in ionic liquid aqueous two-phase flotation using response surface methodology. Journal of the Iranian Chemical Society, 10(3), 505-512.
  7. 7. A Abaamrane,S Qourzal,M El Ouardi,S Alahiane,M Belmouden,H Bari,N Barka,S ManΓ§our Billah,A Assabbane,Y Ait-Ichou (2015). Modeling of photocatalytic mineralization of phthalic acid in TiO2 suspension using response surface methodology (RSM). Desalination and Water Treatment, 53(1), 249-256.
  8. 8. Barry Karger,Robert Grieves,Robert Lemlich,Alan Rubin,Felix Sebba (1967). Nomenclature Recommendations for Adsorptive Bubble Separation Methods. Separation Science, 2(3), 401-404.
  9. 9. R (1968). Lemlich ΚΊAdsorptive bubble separation methodsΚΊ. Ind. & Eng. Chem, 60, 10-16.
  10. 10. Mohamed Alouani,Dennoun Saifaoui,Abdelkader Alouani,Younes Alouani,Mouaad Alouani,Chaimaa Belkarkor (2017). The use of Oil Shale in Cement Manufacturing. Global Journal of Researches in Engineering, 17, 87-95.
  11. 11. Srdjan Bulatovic (2007). Flotation of Copper Sulfide Ores. Handbook of Flotation Reagents, 1, 235-293.
  12. 12. B Nanthakumar,S Kelebek (2007). Stagewise analysis of flotation by factorial design approach with an application to the flotation of oxidized pentlandite and pyrrhotite. International Journal of Mineral Processing, 84(1-4), 192-206.
  13. 13. M Sheridan,D Nagaraj,D Fornasiero,J Ralston,; Barka,M Abdennouri,A Boussaoud,A Galadi,M BaΓ’lala,M Bensitel (2014). ΚΊFull factorial experimental design applied to oxalic acid photo catalytic degradation in TiO2 aqueous solutionΚΊ. Arab. J. Chem, 7, 752-757.
  14. 14. Amit Nayak,Dilipkumar Pal,Kousik Santra (2014). Ispaghula mucilage-gellan mucoadhesive beads of metformin HCl: Development by response surface methodology. Carbohydrate Polymers, 107, 41-50.
  15. 15. B Korbahti,A Tanyolac (2008). ΚΊElectrochemical treatment of simulated textile wastewater with industrial components and Levafix Blue CA reactive dye: optimization through response surface methodologyΚΊ. Journal of Hazardous Materials, 151, 422-431.
  16. 16. Milan Meloun,JiΕ™Γ­ MilitkΓ½,Martin Hill,Richard Brereton (2002). Crucial problems in regression modelling and their solutions. The Analyst, 127(4), 433-450.
  17. 17. J Antony (2003). ΚΊDesign of experiments for engineers and scientistsΚΊ. ΚΊDesign of experiments for engineers and scientistsΚΊ
  18. 18. Aashima Hooda,Arun Nanda,Manish Jain,Vikash Kumar,Permender Rathee (2012). Optimization and evaluation of gastroretentive ranitidine HCl microspheres by using design expert software. International Journal of Biological Macromolecules, 51(5), 691-700.
  19. 19. Amit Nayak,Dilipkumar Pal (2011). Development of pH-sensitive tamarind seed polysaccharide–alginate composite beads for controlled diclofenac sodium delivery using response surface methodology. International Journal of Biological Macromolecules, 49(4), 784-793.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

A. Alouani. 2018. "Optimization of Flotation Reagents Specific Consumption, by Modeling during Mineral Enrichment". Global Journal of Research in Engineering - J: General Engineering GJRE-J Volume 17 (GJRE Volume 17 Issue J5).

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Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

Keywords
Classification
GJRE-J Classification FOR Code: 291899
Version of record
v1.2

Issue date
January 8, 2018

Language
English
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Optimization of Flotation Reagents Specific Consumption, by Modeling during Mineral Enrichment

A. Alouani
A. Alouani