Statistical analysis and optimization of recovering indium from jarosite residue with vacuum carbothermic reduction by response surface methodology (RSM)
Vast jarosite residue was produced from traditional zinc hydrometallurgy process in China. It is necessary to recover valuable metals from the jarosite residue. Indium is the one of them. Recovering indium from jarosite residues with carbon reduction method under the condition of vacuum was investig...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
De Gruyter
2017-04-01
|
Series: | Green Processing and Synthesis |
Subjects: | |
Online Access: | https://doi.org/10.1515/gps-2016-0084 |
_version_ | 1819290266537820160 |
---|---|
author | Ma Hongzhou Yan Chao Wang Yaoning Xie Hongwei |
author_facet | Ma Hongzhou Yan Chao Wang Yaoning Xie Hongwei |
author_sort | Ma Hongzhou |
collection | DOAJ |
description | Vast jarosite residue was produced from traditional zinc hydrometallurgy process in China. It is necessary to recover valuable metals from the jarosite residue. Indium is the one of them. Recovering indium from jarosite residues with carbon reduction method under the condition of vacuum was investigated. The analysis of variance was used to evaluate the influence of different factors on the volatilizing rate of indium, indicating that the influence of temperature on the volatilizing rate of indium is statistically significant. Other factors have no significant influence. Response surface methodology was used to explore the best combination of four variables and to study the effects of their interactions on the indium volatilizing rate. The results showed that there was an obvious interaction between the percent content of carbon and temperature and between the percent content of carbon and hold time, and the selected optimal conditions were 30% carbon, 13% CaO, 1000°C temperature, and 60 min hold time. Under these conditions, the indium volatilization rate was up to 98.2%. |
first_indexed | 2024-12-24T03:20:01Z |
format | Article |
id | doaj.art-1bbaabbb60a6490ab3a7e1cf462ed500 |
institution | Directory Open Access Journal |
issn | 2191-9542 2191-9550 |
language | English |
last_indexed | 2024-12-24T03:20:01Z |
publishDate | 2017-04-01 |
publisher | De Gruyter |
record_format | Article |
series | Green Processing and Synthesis |
spelling | doaj.art-1bbaabbb60a6490ab3a7e1cf462ed5002022-12-21T17:17:31ZengDe GruyterGreen Processing and Synthesis2191-95422191-95502017-04-016221121610.1515/gps-2016-0084Statistical analysis and optimization of recovering indium from jarosite residue with vacuum carbothermic reduction by response surface methodology (RSM)Ma Hongzhou0Yan Chao1Wang Yaoning2Xie Hongwei3School of Metallurgical Engineering, Xi’an University of Architecture and Technology, Xi’an, Shaanxi 710055, P.R. ChinaSchool of Metallurgical Engineering, Xi’an University of Architecture and Technology, Xi’an, Shaanxi 710055, P.R. ChinaSchool of Metallurgical Engineering, Xi’an University of Architecture and Technology, Xi’an, Shaanxi 710055, P.R. ChinaSchool of Metallurgical Engineering, Xi’an University of Architecture and Technology, Xi’an, Shaanxi 710055, P.R. ChinaVast jarosite residue was produced from traditional zinc hydrometallurgy process in China. It is necessary to recover valuable metals from the jarosite residue. Indium is the one of them. Recovering indium from jarosite residues with carbon reduction method under the condition of vacuum was investigated. The analysis of variance was used to evaluate the influence of different factors on the volatilizing rate of indium, indicating that the influence of temperature on the volatilizing rate of indium is statistically significant. Other factors have no significant influence. Response surface methodology was used to explore the best combination of four variables and to study the effects of their interactions on the indium volatilizing rate. The results showed that there was an obvious interaction between the percent content of carbon and temperature and between the percent content of carbon and hold time, and the selected optimal conditions were 30% carbon, 13% CaO, 1000°C temperature, and 60 min hold time. Under these conditions, the indium volatilization rate was up to 98.2%.https://doi.org/10.1515/gps-2016-0084anovaindiumjarosite residuersmvacuum |
spellingShingle | Ma Hongzhou Yan Chao Wang Yaoning Xie Hongwei Statistical analysis and optimization of recovering indium from jarosite residue with vacuum carbothermic reduction by response surface methodology (RSM) Green Processing and Synthesis anova indium jarosite residue rsm vacuum |
title | Statistical analysis and optimization of recovering indium from jarosite residue with vacuum carbothermic reduction by response surface methodology (RSM) |
title_full | Statistical analysis and optimization of recovering indium from jarosite residue with vacuum carbothermic reduction by response surface methodology (RSM) |
title_fullStr | Statistical analysis and optimization of recovering indium from jarosite residue with vacuum carbothermic reduction by response surface methodology (RSM) |
title_full_unstemmed | Statistical analysis and optimization of recovering indium from jarosite residue with vacuum carbothermic reduction by response surface methodology (RSM) |
title_short | Statistical analysis and optimization of recovering indium from jarosite residue with vacuum carbothermic reduction by response surface methodology (RSM) |
title_sort | statistical analysis and optimization of recovering indium from jarosite residue with vacuum carbothermic reduction by response surface methodology rsm |
topic | anova indium jarosite residue rsm vacuum |
url | https://doi.org/10.1515/gps-2016-0084 |
work_keys_str_mv | AT mahongzhou statisticalanalysisandoptimizationofrecoveringindiumfromjarositeresiduewithvacuumcarbothermicreductionbyresponsesurfacemethodologyrsm AT yanchao statisticalanalysisandoptimizationofrecoveringindiumfromjarositeresiduewithvacuumcarbothermicreductionbyresponsesurfacemethodologyrsm AT wangyaoning statisticalanalysisandoptimizationofrecoveringindiumfromjarositeresiduewithvacuumcarbothermicreductionbyresponsesurfacemethodologyrsm AT xiehongwei statisticalanalysisandoptimizationofrecoveringindiumfromjarositeresiduewithvacuumcarbothermicreductionbyresponsesurfacemethodologyrsm |