Optimization of Temperature and Force Adaptation Algorithm in Hot Strip Mill
In the hot strip rolling control system, the temperature distribution and deformation resistance are the main parameters affecting prediction of rolling force. In order to improve the model prediction precision, an optimization algorithm based on objective function was put forward, in which the pena...
Gespeichert in:
| Veröffentlicht in: | Journal of iron and steel research, international international, 2014-03, Vol.21 (3), p.300-305 |
|---|---|
| Hauptverfasser: | , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 305 |
|---|---|
| container_issue | 3 |
| container_start_page | 300 |
| container_title | Journal of iron and steel research, international |
| container_volume | 21 |
| creator | PENG, Wen LIU, Zi-ying YANG, Xi-lin CAO, Jian-zhao ZHANG, Dian-hua |
| description | In the hot strip rolling control system, the temperature distribution and deformation resistance are the main parameters affecting prediction of rolling force. In order to improve the model prediction precision, an optimization algorithm based on objective function was put forward, in which the penalty function index was adopted. During the adaptation process, the temperature distribution and deformation resistance were taken as the optimized parameters, and the Nelder-Mead simplex algorithm was used to search the optimal solution of the objective function. Furthermore, the temperature adaptation and force adaptation were solved simultaneously. Application results show that the method can improve the accuracy of the rolling force model obviously, and it can meet the demand of the industrial production and has a good application prospect. |
| doi_str_mv | 10.1016/S1006-706X(14)60046-7 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1677988433</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><cqvip_id>49386857</cqvip_id><els_id>S1006706X14600467</els_id><sourcerecordid>1677988433</sourcerecordid><originalsourceid>FETCH-LOGICAL-c448t-446fa1edf1fba40f056997c0dbd7ffb85ad9d3b925339043988739728076f66b3</originalsourceid><addsrcrecordid>eNqFkE9P5CAcQIlxEyfqRzDBmx6qUCh_TmZidDWZjQfdZG-EFhgxbanAmOx--qXWeB0uhOQ9-PEAOMPoCiPMrp8xQqziiP25wPSSIUTL6QCs6hqjikghDsHqGzkCpym9oXlJRmqxApunKfvB_9PZhxEGB1_sMNmo8y5aqEcD70PsLFwbPeWFWffbEH1-HaAf4UPI8DlHP8Ffvu9PwA-n-2RPv_Zj8Pv-7uX2odo8_Xy8XW-qjlKRK0qZ09gah12rKXKoYVLyDpnWcOda0WgjDWll3RAiEZ0_wYnktUCcOcZacgwulnunGN53NmU1-NTZvtejDbukMOO8SJSQ_WjDSpiaiBltFrSLIaVonZqiH3T8qzBSc2v12VrNIRWm6rO14sVji5cKP25tVG9hF8cSYK94s4i2tPrwRUydt2NnjY-2y8oEv_eG86-RX8O4fS-vf89MJRFMNJz8B-vaoNs</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1567062383</pqid></control><display><type>article</type><title>Optimization of Temperature and Force Adaptation Algorithm in Hot Strip Mill</title><source>SpringerLink Journals</source><source>Elsevier ScienceDirect Journals</source><source>Alma/SFX Local Collection</source><creator>PENG, Wen ; LIU, Zi-ying ; YANG, Xi-lin ; CAO, Jian-zhao ; ZHANG, Dian-hua</creator><creatorcontrib>PENG, Wen ; LIU, Zi-ying ; YANG, Xi-lin ; CAO, Jian-zhao ; ZHANG, Dian-hua</creatorcontrib><description>In the hot strip rolling control system, the temperature distribution and deformation resistance are the main parameters affecting prediction of rolling force. In order to improve the model prediction precision, an optimization algorithm based on objective function was put forward, in which the penalty function index was adopted. During the adaptation process, the temperature distribution and deformation resistance were taken as the optimized parameters, and the Nelder-Mead simplex algorithm was used to search the optimal solution of the objective function. Furthermore, the temperature adaptation and force adaptation were solved simultaneously. Application results show that the method can improve the accuracy of the rolling force model obviously, and it can meet the demand of the industrial production and has a good application prospect.</description><identifier>ISSN: 1006-706X</identifier><identifier>EISSN: 2210-3988</identifier><identifier>DOI: 10.1016/S1006-706X(14)60046-7</identifier><language>eng</language><publisher>Singapore: Elsevier Ltd</publisher><subject>Adaptation ; Algorithms ; Applied and Technical Physics ; Deformation resistance ; Engineering ; force prediction ; hot strip mill ; Iron and steel industry ; Machines ; Manufacturing ; Materials Engineering ; Materials Science ; Mathematical models ; Metallic Materials ; objective function ; Optimization ; Physical Chemistry ; Processes ; simplex algorithm ; Steels ; Temperature distribution ; 优化过程 ; 抗变形能力 ; 温度分布 ; 热连轧机 ; 目标函数 ; 自适应算法 ; 轧制力模型 ; 预测精度</subject><ispartof>Journal of iron and steel research, international, 2014-03, Vol.21 (3), p.300-305</ispartof><rights>2014 Central Iron and Steel Research Institute</rights><rights>China Iron and Steel Research Institute Group 2014</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c448t-446fa1edf1fba40f056997c0dbd7ffb85ad9d3b925339043988739728076f66b3</citedby><cites>FETCH-LOGICAL-c448t-446fa1edf1fba40f056997c0dbd7ffb85ad9d3b925339043988739728076f66b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttp://image.cqvip.com/vip1000/qk/86787X/86787X.jpg</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1016/S1006-706X(14)60046-7$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://dx.doi.org/10.1016/S1006-706X(14)60046-7$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,777,781,3537,27905,27906,41469,42538,45976,51300</link.rule.ids></links><search><creatorcontrib>PENG, Wen</creatorcontrib><creatorcontrib>LIU, Zi-ying</creatorcontrib><creatorcontrib>YANG, Xi-lin</creatorcontrib><creatorcontrib>CAO, Jian-zhao</creatorcontrib><creatorcontrib>ZHANG, Dian-hua</creatorcontrib><title>Optimization of Temperature and Force Adaptation Algorithm in Hot Strip Mill</title><title>Journal of iron and steel research, international</title><addtitle>J. Iron Steel Res. Int</addtitle><addtitle>Journal of Iron and Steel Research</addtitle><description>In the hot strip rolling control system, the temperature distribution and deformation resistance are the main parameters affecting prediction of rolling force. In order to improve the model prediction precision, an optimization algorithm based on objective function was put forward, in which the penalty function index was adopted. During the adaptation process, the temperature distribution and deformation resistance were taken as the optimized parameters, and the Nelder-Mead simplex algorithm was used to search the optimal solution of the objective function. Furthermore, the temperature adaptation and force adaptation were solved simultaneously. Application results show that the method can improve the accuracy of the rolling force model obviously, and it can meet the demand of the industrial production and has a good application prospect.</description><subject>Adaptation</subject><subject>Algorithms</subject><subject>Applied and Technical Physics</subject><subject>Deformation resistance</subject><subject>Engineering</subject><subject>force prediction</subject><subject>hot strip mill</subject><subject>Iron and steel industry</subject><subject>Machines</subject><subject>Manufacturing</subject><subject>Materials Engineering</subject><subject>Materials Science</subject><subject>Mathematical models</subject><subject>Metallic Materials</subject><subject>objective function</subject><subject>Optimization</subject><subject>Physical Chemistry</subject><subject>Processes</subject><subject>simplex algorithm</subject><subject>Steels</subject><subject>Temperature distribution</subject><subject>优化过程</subject><subject>抗变形能力</subject><subject>温度分布</subject><subject>热连轧机</subject><subject>目标函数</subject><subject>自适应算法</subject><subject>轧制力模型</subject><subject>预测精度</subject><issn>1006-706X</issn><issn>2210-3988</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><recordid>eNqFkE9P5CAcQIlxEyfqRzDBmx6qUCh_TmZidDWZjQfdZG-EFhgxbanAmOx--qXWeB0uhOQ9-PEAOMPoCiPMrp8xQqziiP25wPSSIUTL6QCs6hqjikghDsHqGzkCpym9oXlJRmqxApunKfvB_9PZhxEGB1_sMNmo8y5aqEcD70PsLFwbPeWFWffbEH1-HaAf4UPI8DlHP8Ffvu9PwA-n-2RPv_Zj8Pv-7uX2odo8_Xy8XW-qjlKRK0qZ09gah12rKXKoYVLyDpnWcOda0WgjDWll3RAiEZ0_wYnktUCcOcZacgwulnunGN53NmU1-NTZvtejDbukMOO8SJSQ_WjDSpiaiBltFrSLIaVonZqiH3T8qzBSc2v12VrNIRWm6rO14sVji5cKP25tVG9hF8cSYK94s4i2tPrwRUydt2NnjY-2y8oEv_eG86-RX8O4fS-vf89MJRFMNJz8B-vaoNs</recordid><startdate>20140301</startdate><enddate>20140301</enddate><creator>PENG, Wen</creator><creator>LIU, Zi-ying</creator><creator>YANG, Xi-lin</creator><creator>CAO, Jian-zhao</creator><creator>ZHANG, Dian-hua</creator><general>Elsevier Ltd</general><general>Springer Singapore</general><scope>2RA</scope><scope>92L</scope><scope>CQIGP</scope><scope>W92</scope><scope>~WA</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8BQ</scope><scope>8FD</scope><scope>JG9</scope></search><sort><creationdate>20140301</creationdate><title>Optimization of Temperature and Force Adaptation Algorithm in Hot Strip Mill</title><author>PENG, Wen ; LIU, Zi-ying ; YANG, Xi-lin ; CAO, Jian-zhao ; ZHANG, Dian-hua</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c448t-446fa1edf1fba40f056997c0dbd7ffb85ad9d3b925339043988739728076f66b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Adaptation</topic><topic>Algorithms</topic><topic>Applied and Technical Physics</topic><topic>Deformation resistance</topic><topic>Engineering</topic><topic>force prediction</topic><topic>hot strip mill</topic><topic>Iron and steel industry</topic><topic>Machines</topic><topic>Manufacturing</topic><topic>Materials Engineering</topic><topic>Materials Science</topic><topic>Mathematical models</topic><topic>Metallic Materials</topic><topic>objective function</topic><topic>Optimization</topic><topic>Physical Chemistry</topic><topic>Processes</topic><topic>simplex algorithm</topic><topic>Steels</topic><topic>Temperature distribution</topic><topic>优化过程</topic><topic>抗变形能力</topic><topic>温度分布</topic><topic>热连轧机</topic><topic>目标函数</topic><topic>自适应算法</topic><topic>轧制力模型</topic><topic>预测精度</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>PENG, Wen</creatorcontrib><creatorcontrib>LIU, Zi-ying</creatorcontrib><creatorcontrib>YANG, Xi-lin</creatorcontrib><creatorcontrib>CAO, Jian-zhao</creatorcontrib><creatorcontrib>ZHANG, Dian-hua</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><collection>CrossRef</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Materials Research Database</collection><jtitle>Journal of iron and steel research, international</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>PENG, Wen</au><au>LIU, Zi-ying</au><au>YANG, Xi-lin</au><au>CAO, Jian-zhao</au><au>ZHANG, Dian-hua</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Optimization of Temperature and Force Adaptation Algorithm in Hot Strip Mill</atitle><jtitle>Journal of iron and steel research, international</jtitle><stitle>J. Iron Steel Res. Int</stitle><addtitle>Journal of Iron and Steel Research</addtitle><date>2014-03-01</date><risdate>2014</risdate><volume>21</volume><issue>3</issue><spage>300</spage><epage>305</epage><pages>300-305</pages><issn>1006-706X</issn><eissn>2210-3988</eissn><abstract>In the hot strip rolling control system, the temperature distribution and deformation resistance are the main parameters affecting prediction of rolling force. In order to improve the model prediction precision, an optimization algorithm based on objective function was put forward, in which the penalty function index was adopted. During the adaptation process, the temperature distribution and deformation resistance were taken as the optimized parameters, and the Nelder-Mead simplex algorithm was used to search the optimal solution of the objective function. Furthermore, the temperature adaptation and force adaptation were solved simultaneously. Application results show that the method can improve the accuracy of the rolling force model obviously, and it can meet the demand of the industrial production and has a good application prospect.</abstract><cop>Singapore</cop><pub>Elsevier Ltd</pub><doi>10.1016/S1006-706X(14)60046-7</doi><tpages>6</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1006-706X |
| ispartof | Journal of iron and steel research, international, 2014-03, Vol.21 (3), p.300-305 |
| issn | 1006-706X 2210-3988 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_1677988433 |
| source | SpringerLink Journals; Elsevier ScienceDirect Journals; Alma/SFX Local Collection |
| subjects | Adaptation Algorithms Applied and Technical Physics Deformation resistance Engineering force prediction hot strip mill Iron and steel industry Machines Manufacturing Materials Engineering Materials Science Mathematical models Metallic Materials objective function Optimization Physical Chemistry Processes simplex algorithm Steels Temperature distribution 优化过程 抗变形能力 温度分布 热连轧机 目标函数 自适应算法 轧制力模型 预测精度 |
| title | Optimization of Temperature and Force Adaptation Algorithm in Hot Strip Mill |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-21T08%3A35%3A23IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Optimization%20of%20Temperature%20and%20Force%20Adaptation%20Algorithm%20in%20Hot%20Strip%20Mill&rft.jtitle=Journal%20of%20iron%20and%20steel%20research,%20international&rft.au=PENG,%20Wen&rft.date=2014-03-01&rft.volume=21&rft.issue=3&rft.spage=300&rft.epage=305&rft.pages=300-305&rft.issn=1006-706X&rft.eissn=2210-3988&rft_id=info:doi/10.1016/S1006-706X(14)60046-7&rft_dat=%3Cproquest_cross%3E1677988433%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1567062383&rft_id=info:pmid/&rft_cqvip_id=49386857&rft_els_id=S1006706X14600467&rfr_iscdi=true |