Sulphuric Acid Leaching Germanium from Germanium Dust and Fume: Process Optimization Using Response Surface Methodology
Germanium leaching from germanium dust and fume was carried out using sulphuric acid. Response surface methodology, based on a five level, four variable central composite designs, was employed to obtain the best possible combination of liquid/solid ratio, leaching time, sulphuric acid concentration...
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description | Germanium leaching from germanium dust and fume was carried out using sulphuric acid. Response surface methodology, based on a five level, four variable central composite designs, was employed to obtain the best possible combination of liquid/solid ratio, leaching time, sulphuric acid concentration and leaching temperature for germanium leaching. The experimental data obtained were fitted to a one-order polynomial equation using multiple regression analysis and also were analyzed by analysis of variance. The 3-D response surface plot and the contour plot derived from the mathematical models were applied to determine the optimal conditions. The conditions were: liquid/solid ratio of 10, leaching time of 1 h, sulphuric acid concentration of 15.75 mol/L, and leaching temperature of 87.8. Under these conditions, the germanium leaching rate was 65.14%, which is well in close agreement with the value predicted by the model. The samples were characterized before and after leaching using X-ray diffraction. |
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Response surface methodology, based on a five level, four variable central composite designs, was employed to obtain the best possible combination of liquid/solid ratio, leaching time, sulphuric acid concentration and leaching temperature for germanium leaching. The experimental data obtained were fitted to a one-order polynomial equation using multiple regression analysis and also were analyzed by analysis of variance. The 3-D response surface plot and the contour plot derived from the mathematical models were applied to determine the optimal conditions. The conditions were: liquid/solid ratio of 10, leaching time of 1 h, sulphuric acid concentration of 15.75 mol/L, and leaching temperature of 87.8. Under these conditions, the germanium leaching rate was 65.14%, which is well in close agreement with the value predicted by the model. The samples were characterized before and after leaching using X-ray diffraction.</description><identifier>ISSN: 0094-243X</identifier><language>eng</language><subject>Dust ; Fumes ; Leaching ; Liquids ; Mathematical models ; Optimization ; Response surface methodology ; Sulfuric acid</subject><ispartof>AIP conference proceedings, 2012-03</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784</link.rule.ids></links><search><creatorcontrib>Wang, Wankun</creatorcontrib><creatorcontrib>Peng, Jinhui</creatorcontrib><creatorcontrib>Zhang, Zebiao</creatorcontrib><creatorcontrib>Wang, Shixing</creatorcontrib><title>Sulphuric Acid Leaching Germanium from Germanium Dust and Fume: Process Optimization Using Response Surface Methodology</title><title>AIP conference proceedings</title><description>Germanium leaching from germanium dust and fume was carried out using sulphuric acid. Response surface methodology, based on a five level, four variable central composite designs, was employed to obtain the best possible combination of liquid/solid ratio, leaching time, sulphuric acid concentration and leaching temperature for germanium leaching. The experimental data obtained were fitted to a one-order polynomial equation using multiple regression analysis and also were analyzed by analysis of variance. The 3-D response surface plot and the contour plot derived from the mathematical models were applied to determine the optimal conditions. The conditions were: liquid/solid ratio of 10, leaching time of 1 h, sulphuric acid concentration of 15.75 mol/L, and leaching temperature of 87.8. Under these conditions, the germanium leaching rate was 65.14%, which is well in close agreement with the value predicted by the model. The samples were characterized before and after leaching using X-ray diffraction.</description><subject>Dust</subject><subject>Fumes</subject><subject>Leaching</subject><subject>Liquids</subject><subject>Mathematical models</subject><subject>Optimization</subject><subject>Response surface methodology</subject><subject>Sulfuric acid</subject><issn>0094-243X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><recordid>eNqVjE1rAjEUAHNQ0Kr_4R29CPuhrutNbLWHSku10JuE7NvdSJK3zUuQ-uuL0EOvPQ0Dw_TEMEnK-Syb558D8cB8SZKsLIrVUFyP0XRt9FrBRukKXlCqVrsG9uitdDpaqD3ZP_oYOYB0FeyixTW8eVLIDK9d0FbfZNDk4IPvi3fkjhwjHKOvpUI4YGipIkPN91j0a2kYJ78cienu6bR9nnWeviJyOFvNCo2RDinyOc2LbJmm6WKR_yP9AezJURs</recordid><startdate>20120315</startdate><enddate>20120315</enddate><creator>Wang, Wankun</creator><creator>Peng, Jinhui</creator><creator>Zhang, Zebiao</creator><creator>Wang, Shixing</creator><scope>7U5</scope><scope>8FD</scope><scope>L7M</scope></search><sort><creationdate>20120315</creationdate><title>Sulphuric Acid Leaching Germanium from Germanium Dust and Fume: Process Optimization Using Response Surface Methodology</title><author>Wang, Wankun ; Peng, Jinhui ; Zhang, Zebiao ; Wang, Shixing</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-proquest_miscellaneous_13726111553</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Dust</topic><topic>Fumes</topic><topic>Leaching</topic><topic>Liquids</topic><topic>Mathematical models</topic><topic>Optimization</topic><topic>Response surface methodology</topic><topic>Sulfuric acid</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Wankun</creatorcontrib><creatorcontrib>Peng, Jinhui</creatorcontrib><creatorcontrib>Zhang, Zebiao</creatorcontrib><creatorcontrib>Wang, Shixing</creatorcontrib><collection>Solid State and Superconductivity Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>AIP conference proceedings</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Wankun</au><au>Peng, Jinhui</au><au>Zhang, Zebiao</au><au>Wang, Shixing</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Sulphuric Acid Leaching Germanium from Germanium Dust and Fume: Process Optimization Using Response Surface Methodology</atitle><jtitle>AIP conference proceedings</jtitle><date>2012-03-15</date><risdate>2012</risdate><issn>0094-243X</issn><abstract>Germanium leaching from germanium dust and fume was carried out using sulphuric acid. Response surface methodology, based on a five level, four variable central composite designs, was employed to obtain the best possible combination of liquid/solid ratio, leaching time, sulphuric acid concentration and leaching temperature for germanium leaching. The experimental data obtained were fitted to a one-order polynomial equation using multiple regression analysis and also were analyzed by analysis of variance. The 3-D response surface plot and the contour plot derived from the mathematical models were applied to determine the optimal conditions. The conditions were: liquid/solid ratio of 10, leaching time of 1 h, sulphuric acid concentration of 15.75 mol/L, and leaching temperature of 87.8. Under these conditions, the germanium leaching rate was 65.14%, which is well in close agreement with the value predicted by the model. The samples were characterized before and after leaching using X-ray diffraction.</abstract></addata></record> |
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subjects | Dust Fumes Leaching Liquids Mathematical models Optimization Response surface methodology Sulfuric acid |
title | Sulphuric Acid Leaching Germanium from Germanium Dust and Fume: Process Optimization Using Response Surface Methodology |
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