Response Surface Optimization for Process Parameters of LiFePO_4/C Preparation by Carbothermal Reduction Technology
A statistically based optimization strategy is used to optimize the carbothermal reduction technology for the synthesis of LiFePO4/C using LiOH,FePO4 and sucrose as raw materials.The experimental data for fitting the response are collected by the central composite rotatable design(CCD).A second orde...
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Veröffentlicht in: | 中国化学工程学报:英文版 2012-08, Vol.20 (4), p.793-802 |
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container_title | 中国化学工程学报:英文版 |
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creator | 杨克迪 谭芳香 王凡 龙云飞 文衍宣 |
description | A statistically based optimization strategy is used to optimize the carbothermal reduction technology for the synthesis of LiFePO4/C using LiOH,FePO4 and sucrose as raw materials.The experimental data for fitting the response are collected by the central composite rotatable design(CCD).A second order model for the discharge ca-pacity of LiFePO4/C is expressed as a function of sintering temperature,sintering time and carbon content.The ef-fects of individual variables and their interactions are studied by a statistical analysis(ANOVA).The results show that the linear effects and the quadratic effects of sintering temperature,carbon content and the interactions among these variables are statistically significant,while those effects of sintering time are insignificant.Response surface plots for spatial representation of the model illustrate that the discharge capacity depends on sintering temperature and carbon content more than sintering time.The model obtained gives the optimized reaction parameters of sinter-ing temperature at 652.0 ℃,carbon content of 34.33 g?mol-1 and 8.48 h sintering time,corresponding to a dis-charge capacity of 150.8 mA·h·g-1.The confirmatory test with these optimum parameters gives the discharge ca-pacity of 147.2 and 105.1 mA·h·g-1 at 0.5 and 5 C,respectively. |
doi_str_mv | 10.1016/S1004-9541(11)60250-4 |
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Technology</title><source>Elsevier ScienceDirect Journals</source><source>Alma/SFX Local Collection</source><creator>杨克迪 谭芳香 王凡 龙云飞 文衍宣</creator><creatorcontrib>杨克迪 谭芳香 王凡 龙云飞 文衍宣</creatorcontrib><description>A statistically based optimization strategy is used to optimize the carbothermal reduction technology for the synthesis of LiFePO4/C using LiOH,FePO4 and sucrose as raw materials.The experimental data for fitting the response are collected by the central composite rotatable design(CCD).A second order model for the discharge ca-pacity of LiFePO4/C is expressed as a function of sintering temperature,sintering time and carbon content.The ef-fects of individual variables and their interactions are studied by a statistical analysis(ANOVA).The results show that the linear effects and the quadratic effects of sintering temperature,carbon content and the interactions among these variables are statistically significant,while those effects of sintering time are insignificant.Response surface plots for spatial representation of the model illustrate that the discharge capacity depends on sintering temperature and carbon content more than sintering time.The model obtained gives the optimized reaction parameters of sinter-ing temperature at 652.0 ℃,carbon content of 34.33 g?mol-1 and 8.48 h sintering time,corresponding to a dis-charge capacity of 150.8 mA·h·g-1.The confirmatory test with these optimum parameters gives the discharge ca-pacity of 147.2 and 105.1 mA·h·g-1 at 0.5 and 5 C,respectively.</description><identifier>ISSN: 1004-9541</identifier><identifier>EISSN: 2210-321X</identifier><identifier>DOI: 10.1016/S1004-9541(11)60250-4</identifier><language>eng</language><subject>LiFePO4 ; 中心旋转组合设计 ; 优化策略 ; 制备工艺参数 ; 响应面法 ; 烧结温度 ; 碳热 ; 还原技术</subject><ispartof>中国化学工程学报:英文版, 2012-08, Vol.20 (4), 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LiFePO4/C is expressed as a function of sintering temperature,sintering time and carbon content.The ef-fects of individual variables and their interactions are studied by a statistical analysis(ANOVA).The results show that the linear effects and the quadratic effects of sintering temperature,carbon content and the interactions among these variables are statistically significant,while those effects of sintering time are insignificant.Response surface plots for spatial representation of the model illustrate that the discharge capacity depends on sintering temperature and carbon content more than sintering time.The model obtained gives the optimized reaction parameters of sinter-ing temperature at 652.0 ℃,carbon content of 34.33 g?mol-1 and 8.48 h sintering time,corresponding to a dis-charge capacity of 150.8 mA·h·g-1.The confirmatory test with these optimum parameters gives the discharge ca-pacity of 147.2 and 105.1 mA·h·g-1 at 0.5 and 5 C,respectively.</description><subject>LiFePO4</subject><subject>中心旋转组合设计</subject><subject>优化策略</subject><subject>制备工艺参数</subject><subject>响应面法</subject><subject>烧结温度</subject><subject>碳热</subject><subject>还原技术</subject><issn>1004-9541</issn><issn>2210-321X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><recordid>eNo9jM1OAjEURhujiYg-gknd6WKkt39Ml2YiakICARbuSKdzC2OY6dgOC3h6CRpX3-Kc8xFyD-wZGOjREhiTmVESHgGeNOOKZfKCDDgHlgkOn5dk8K9ck5uUvhjjLId8QNICUxfahHS5j946pLOur5v6aPs6tNSHSOcxOEyJzm20DfYYEw2eTusJzmdrOSpOAnYndg7KAy1sLEO_xdjYHV1gtXdnskK3bcMubA635MrbXcK7vx2S1eR1Vbxn09nbR_EyzZzRfWZyp6TxWkGlc5Hb0hqtlOdj4TyqSnvjmGEc9bj0HFFanSuwKGSFQllXiiF5-L1129Buvut2s-5i3dh4WEsBbCwNiB-BG16L</recordid><startdate>201208</startdate><enddate>201208</enddate><creator>杨克迪 谭芳香 王凡 龙云飞 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文衍宣</creatorcontrib><collection>中文科技期刊数据库</collection><collection>中文科技期刊数据库-CALIS站点</collection><collection>中文科技期刊数据库-7.0平台</collection><collection>中文科技期刊数据库-工程技术</collection><collection>中文科技期刊数据库- 镜像站点</collection><jtitle>中国化学工程学报:英文版</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>杨克迪 谭芳香 王凡 龙云飞 文衍宣</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Response Surface Optimization for Process Parameters of LiFePO_4/C Preparation by Carbothermal Reduction Technology</atitle><jtitle>中国化学工程学报:英文版</jtitle><addtitle>Chinese Journal of Chemical Engineering</addtitle><date>2012-08</date><risdate>2012</risdate><volume>20</volume><issue>4</issue><spage>793</spage><epage>802</epage><pages>793-802</pages><issn>1004-9541</issn><eissn>2210-321X</eissn><abstract>A statistically based optimization strategy is used to optimize the carbothermal reduction technology for the synthesis of LiFePO4/C using LiOH,FePO4 and sucrose as raw materials.The experimental data for fitting the response are collected by the central composite rotatable design(CCD).A second order model for the discharge ca-pacity of LiFePO4/C is expressed as a function of sintering temperature,sintering time and carbon content.The ef-fects of individual variables and their interactions are studied by a statistical analysis(ANOVA).The results show that the linear effects and the quadratic effects of sintering temperature,carbon content and the interactions among these variables are statistically significant,while those effects of sintering time are insignificant.Response surface plots for spatial representation of the model illustrate that the discharge capacity depends on sintering temperature and carbon content more than sintering time.The model obtained gives the optimized reaction parameters of sinter-ing temperature at 652.0 ℃,carbon content of 34.33 g?mol-1 and 8.48 h sintering time,corresponding to a dis-charge capacity of 150.8 mA·h·g-1.The confirmatory test with these optimum parameters gives the discharge ca-pacity of 147.2 and 105.1 mA·h·g-1 at 0.5 and 5 C,respectively.</abstract><doi>10.1016/S1004-9541(11)60250-4</doi><tpages>10</tpages></addata></record> |
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source | Elsevier ScienceDirect Journals; Alma/SFX Local Collection |
subjects | LiFePO4 中心旋转组合设计 优化策略 制备工艺参数 响应面法 烧结温度 碳热 还原技术 |
title | Response Surface Optimization for Process Parameters of LiFePO_4/C Preparation by Carbothermal Reduction Technology |
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