Response surface methodology for optimization of low-grade manganese ore leaching
| dc.contributor.author | Muhamad Naim Mohd Isa | |
| dc.date.accessioned | 2021-07-29T01:37:42Z | |
| dc.date.available | 2021-07-29T01:37:42Z | |
| dc.date.issued | 2016-06 | |
| dc.description.abstract | As much as 90 percent of manganese consumption, globally, is accounted for by the steel industry. Manganese has no satisfactory substitutes in steel production and therefore is an essential basic material for energy production and development.The aim of this work is to optimize the reductive leaching using Response Surface Methodology (RSM) and to determine the organic derivatives of reducing sugar using fourier transform infrared spectroscopy (FTIR). The experiments were conducted using sulfuric acid as reductant and bamboo sawdust (BSD) as reducing agent. Mineral characterization of Malaysian low-grade manganese ores shows that theMn ore samples contain Mn (15.01%) as major element, and followed by Si (2.86%), Fe (3.88%) and Al (2.69%) Other elements were trace elements (<1%). This ore is considered as low-grade Mn ore (LGMO). The experimental data obtained from analysis of variances (ANOVA) were analyzed and the most significant variables were identified and fitted into a quadratic model. The optimum process conditions were found to be 3M of sulfuric acid concentration and in the range of (2g - 3g) of BSD loading at 360 minutes (6 hours) leaching time.The average Mn leaching extraction was achieved at 80%. The leach liquor was found to have presence of organic derivatives such as formic acid, carboxylic acid, lactic acid, gluconic acid and glycoric acid. Which means that the organic derivatives produced was due to the decomposition of BSD. | en_US |
| dc.identifier.uri | http://hdl.handle.net/123456789/13862 | |
| dc.language.iso | en | en_US |
| dc.title | Response surface methodology for optimization of low-grade manganese ore leaching | en_US |
| dc.type | Other | en_US |
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