Application of Box-Behnken design to determine the optimal conditions of reductive leaching of MnO2 from manganese mine tailings

被引:13
作者
Alaoui, Abdallah [1 ]
El Kacemi, K. [2 ]
El Ass, K. [3 ]
Kitane, S. [1 ]
机构
[1] Ecole Natl Sperieure Mines Rabat, Lab Hydromet & Environm, Rabat, Morocco
[2] Univ Mohammed 5, Fac Sci Rabat, Lab Electrochim & Chim Analyt, Rabat, Morocco
[3] Ecole Natl Super Mines Rabat, Lab Metrol Environm, Rabat, Morocco
关键词
response surface methodology; leaching; manganese mine tailings; optimization; modeling; RESPONSE-SURFACE METHODOLOGY; OPTIMIZATION; DISSOLUTION; PYROLUSITE; RECOVERY; DIOXIDE; ACID; ORES;
D O I
10.3103/S1067821215020029
中图分类号
TF [冶金工业];
学科分类号
0806 ;
摘要
Management of mining manganese residues by a hydrometallurgical processing is a solution to remedy the harmful presence of manganese residues in nature. Understanding the mechanism that governs the leaching process is a major importance to optimize the various factors involved in the reaction; this article is devoted to this subject. The application of leaching process to extracting Mn from a manganese mine tailings was investigated using a software based design of experiments. The Box-Behnken experimental design was used to provide data for modeling and the variables of model were potassium oxalate concentration, solid-to-liquid ratio and sulphuric acid concentration. The recoveries of Mn are selected as response of design. The optimum condition under which the Mn recoveries are the highest is determined using statistical analysis and analysis of variance (ANOVA). A quadratic model with good adherence to the experimental data in the domain analyzed was developed, which was used to plot the response surface curves and to perform process optimization. The results showed that Mn recovery was 80% under the optimum conditions: a ratio S/L = 50 g/L-70 g/L approximately; also, sulfuric acid concentration is 1.1 to 1.3 M and oxalate concentration in range 0.35 to 0.45 M, time and temperature of the process were 30 min and 25A degrees C, respectively. The methodology employed allowed to evaluate and identify the effects and interactions of the considered variables with statistical meaning in the process response, i.e., the highest recovery of Mn after 30 min of reaction.
引用
收藏
页码:134 / 141
页数:8
相关论文
共 50 条
[41]   The Application of Box-Behnken Design for Investigating the Supercritical CO2 Foaming Process: A Case Study of Thermoplastic Polyurethane 85A [J].
Khudaida, Salal Hasan ;
Yen, Shih-Kuo ;
Su, Chie-Shaan .
MOLECULES, 2024, 29 (02)
[42]   Application of Box-Behnken Design to Hybrid Electrokinetic-Adsorption Removal of Mercury from Contaminated Saline-Sodic Clay Soil [J].
Essa, Mohammed H. ;
Mu'azu, Nuhu Dalhat ;
Lukman, Salihu ;
Bukhari, A. .
SOIL & SEDIMENT CONTAMINATION, 2015, 24 (01) :30-48
[43]   Extraction of manganese from iron rich MnO2 ores via selective sulfation roasting with SO2 followed by water leaching [J].
You, Zhixiong ;
Li, Guanghui ;
Zhang, Yuanbo ;
Peng, Zhiwei ;
Jiang, Tao .
HYDROMETALLURGY, 2015, 156 :225-231
[44]   Synthesis, characterization and application of polypyrrole-cellulose nanocomposite for efficient Ni(II) removal from aqueous solution: Box-Behnken design optimization [J].
Rathika, R. ;
Byung-Taek, Oh ;
Vishnukumar, B. ;
Shanthi, K. ;
Kamala-Kannan, S. ;
Janaki, V. .
E-POLYMERS, 2018, 18 (04) :287-295
[45]   Anoxic conditions are beneficial for abiotic diclofenac removal from water with manganese oxide (MnO2) [J].
Liu, Wenbo ;
Sutton, Nora B. ;
Rijnaarts, Huub H. M. ;
Langenhoff, Alette A. M. .
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2018, 25 (10) :10141-10147
[46]   Optimization of microwave-assisted extraction conditions for preparing lignan-rich extract from Saraca asoca bark using Box-Behnken design [J].
Mishra, Shikha ;
Aeri, Vidhu .
PHARMACEUTICAL BIOLOGY, 2016, 54 (07) :1255-1262
[47]   Catalytic activation and application of micro-spherical carbon derived from hydrothermal carbonization of lignocellulosic biomass: statistical analysis using Box-Behnken design [J].
Chowdhury, Z. Z. ;
Abd Hamid, S. B. ;
Rahman, Md. M. ;
Rafique, R. F. .
RSC ADVANCES, 2016, 6 (104) :102680-102694
[48]   Application of Box-Behnken Design Approach for Removal of Acid Black 26 from Aqueous Solution Using Zeolite: Modeling, Optimization, and Study of Interactive Variables [J].
Shojaei, Siroos ;
Shojaei, Saeed ;
Pirkamali, Mohammadreza .
WATER CONSERVATION SCIENCE AND ENGINEERING, 2019, 4 (01) :13-19
[49]   Optimization and prediction of chromium (iv) removal from synthetic acid mine drainage using green adsorbents: A Box-Behnken design and adaptive neuro-fuzzy inference approach [J].
Sibali, Linda L. ;
Claude, Banza M. Jean .
CANADIAN JOURNAL OF CHEMICAL ENGINEERING, 2025,
[50]   Photocatalytic Oxidation of SO2 from Flue Gas in the Presence of Mn/Copper Slag as a Novel Nanocatalyst: Optimizations by Box-Behnken Design [J].
Rabiee, Fattah ;
Mahanpoor, Kazem .
IRANIAN JOURNAL OF CHEMISTRY & CHEMICAL ENGINEERING-INTERNATIONAL ENGLISH EDITION, 2019, 38 (03) :69-85