Mathematical models and expert system for grate-kiln process of iron ore oxide pellet production (Part I): Mathematical models of grate process
Grate process is an important step in grate-kiln pellet production. However, as a relatively closed system, the process on grate is inaccessible to direct detection, therefore, it is hard to control. As a result, mathematical models of temperature distribution, moisture distribution and oxidation de...
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Veröffentlicht in: | Journal of Central South University 2012-04, Vol.19 (4), p.1092-1097 |
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creator | Wang, Yi Fan, Xiao-hui Chen, Xu-ling |
description | Grate process is an important step in grate-kiln pellet production. However, as a relatively closed system, the process on grate is inaccessible to direct detection, therefore, it is hard to control. As a result, mathematical models of temperature distribution, moisture distribution and oxidation degree distribution in pellet bed, with good universality, computation speed and calculation accuracy, are presented based on analysis of heat transfer and physical-chemical reactions during grate process. And real-time visualization of temperature, moisture and oxidation degree distribution in pellet bed during grate process is realized. Model validation is displayed, and the similarity of 91% is proved. The results can reveal real time status on grate, and provide a solid foundation for the subsequent study of artificial intelligence control system of pellet production. |
doi_str_mv | 10.1007/s11771-012-1114-2 |
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However, as a relatively closed system, the process on grate is inaccessible to direct detection, therefore, it is hard to control. As a result, mathematical models of temperature distribution, moisture distribution and oxidation degree distribution in pellet bed, with good universality, computation speed and calculation accuracy, are presented based on analysis of heat transfer and physical-chemical reactions during grate process. And real-time visualization of temperature, moisture and oxidation degree distribution in pellet bed during grate process is realized. Model validation is displayed, and the similarity of 91% is proved. The results can reveal real time status on grate, and provide a solid foundation for the subsequent study of artificial intelligence control system of pellet production.</description><identifier>ISSN: 2095-2899</identifier><identifier>EISSN: 2227-5223</identifier><identifier>DOI: 10.1007/s11771-012-1114-2</identifier><language>eng</language><publisher>Heidelberg: Central South University</publisher><subject>Engineering ; Metallic Materials</subject><ispartof>Journal of Central South University, 2012-04, Vol.19 (4), p.1092-1097</ispartof><rights>Central South University Press and Springer-Verlag Berlin Heidelberg 2012</rights><rights>Copyright © Wanfang Data Co. Ltd. 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Cent. South Univ. Technol</addtitle><description>Grate process is an important step in grate-kiln pellet production. However, as a relatively closed system, the process on grate is inaccessible to direct detection, therefore, it is hard to control. As a result, mathematical models of temperature distribution, moisture distribution and oxidation degree distribution in pellet bed, with good universality, computation speed and calculation accuracy, are presented based on analysis of heat transfer and physical-chemical reactions during grate process. And real-time visualization of temperature, moisture and oxidation degree distribution in pellet bed during grate process is realized. Model validation is displayed, and the similarity of 91% is proved. The results can reveal real time status on grate, and provide a solid foundation for the subsequent study of artificial intelligence control system of pellet production.</description><subject>Engineering</subject><subject>Metallic Materials</subject><issn>2095-2899</issn><issn>2227-5223</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><recordid>eNp1kc1KxDAUhYsoOOg8gLssFYkmt79xJ4M_AyO6mH1I25tabZuSdHDGl_CVTa3iRjc3F3LOd-CeIDjh7IIzll46ztOUU8aBcs4jCnvBDABSGgOE-35nIqaQCXEYzJ2rcxZySMJEJLPg40ENz9iqoS5UQ1pTYuOI6kqC2x7tQNzODdgSbSyprBqQvtZNR3prCnSOGE1qazpiLBKzrUskPTYNDqOg3BRD7f9On5TnLM-uyF9RnvDF_UEeBwdaNQ7n3-9RsL69WS_u6erxbrm4XtEiFGygOgUsecLyTCNmcSJSnbI4grzMeI48i4XKtBoHy4sQSoRIF0zkEPFERHl4FJxP2DfVadVV8sVsbOcD5XtX7crtNpcI_p4s8rfyaj6pC2ucs6hlb-tW2Z3kTI4NyKkB6R1ybECC98DkcV7bVWh_I_43fQJSyot4</recordid><startdate>20120401</startdate><enddate>20120401</enddate><creator>Wang, Yi</creator><creator>Fan, Xiao-hui</creator><creator>Chen, Xu-ling</creator><general>Central South University</general><general>School of Minerals Processing and Bioengineering, Central South University, Changsha 410083, China</general><scope>AAYXX</scope><scope>CITATION</scope><scope>2B.</scope><scope>4A8</scope><scope>92I</scope><scope>93N</scope><scope>PSX</scope><scope>TCJ</scope></search><sort><creationdate>20120401</creationdate><title>Mathematical models and expert system for grate-kiln process of iron ore oxide pellet production (Part I): Mathematical models of grate process</title><author>Wang, Yi ; Fan, Xiao-hui ; Chen, Xu-ling</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c390t-f72ed160b8fee85697f70542bd81be1859a8fa9a8f0bc32de24fc09b241694b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Engineering</topic><topic>Metallic Materials</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Yi</creatorcontrib><creatorcontrib>Fan, Xiao-hui</creatorcontrib><creatorcontrib>Chen, Xu-ling</creatorcontrib><collection>CrossRef</collection><collection>Wanfang Data Journals - Hong Kong</collection><collection>WANFANG Data Centre</collection><collection>Wanfang Data Journals</collection><collection>万方数据期刊 - 香港版</collection><collection>China Online Journals (COJ)</collection><collection>China Online Journals (COJ)</collection><jtitle>Journal of Central South University</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Yi</au><au>Fan, Xiao-hui</au><au>Chen, Xu-ling</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Mathematical models and expert system for grate-kiln process of iron ore oxide pellet production (Part I): Mathematical models of grate process</atitle><jtitle>Journal of Central South University</jtitle><stitle>J. Cent. South Univ. Technol</stitle><date>2012-04-01</date><risdate>2012</risdate><volume>19</volume><issue>4</issue><spage>1092</spage><epage>1097</epage><pages>1092-1097</pages><issn>2095-2899</issn><eissn>2227-5223</eissn><abstract>Grate process is an important step in grate-kiln pellet production. However, as a relatively closed system, the process on grate is inaccessible to direct detection, therefore, it is hard to control. As a result, mathematical models of temperature distribution, moisture distribution and oxidation degree distribution in pellet bed, with good universality, computation speed and calculation accuracy, are presented based on analysis of heat transfer and physical-chemical reactions during grate process. And real-time visualization of temperature, moisture and oxidation degree distribution in pellet bed during grate process is realized. Model validation is displayed, and the similarity of 91% is proved. The results can reveal real time status on grate, and provide a solid foundation for the subsequent study of artificial intelligence control system of pellet production.</abstract><cop>Heidelberg</cop><pub>Central South University</pub><doi>10.1007/s11771-012-1114-2</doi><tpages>6</tpages></addata></record> |
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title | Mathematical models and expert system for grate-kiln process of iron ore oxide pellet production (Part I): Mathematical models of grate process |
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