Process Parameter Prediction of Differential Pressure Vacuum Casting Based on Support Vector Machine
To reduce warpage deformation of the differential pressure vacuum casting (DPVC) products and to improve product quality, One prediction method for process parameters based on support vector machine (SVM) and artificial fish-swarm algorithm (AFSA) is proposed.Firstly sample test data is abtained by...
Gespeichert in:
| Veröffentlicht in: | Key engineering materials 2014-08, Vol.621, p.633-638 |
|---|---|
| Hauptverfasser: | , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 638 |
|---|---|
| container_issue | |
| container_start_page | 633 |
| container_title | Key engineering materials |
| container_volume | 621 |
| creator | Hu, Qing Xi Zhang, Xu Zhang, Hai Guang Zhang, Zhuang Ya |
| description | To reduce warpage deformation of the differential pressure vacuum casting (DPVC) products and to improve product quality, One prediction method for process parameters based on support vector machine (SVM) and artificial fish-swarm algorithm (AFSA) is proposed.Firstly sample test data is abtained by using orthogonal experimental design and numerical simulation to construct models to forecast warpage of DPVC product based on SVM. Simultaneously to improve the predictive accuracy of the model, AFSA is introduced to optimize the SVM model. And then using this model recommends and adjusts the DPVC process in order to achieve quality control. Finally , through the analysis of a mouse shell , the validity of the method proposed is verified, providing a feasible method for DPVC product quality control |
| doi_str_mv | 10.4028/www.scientific.net/KEM.621.633 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1753494518</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1753494518</sourcerecordid><originalsourceid>FETCH-LOGICAL-c2763-dcd2a4a95e43f1fb9cc0c5480573512fc8a2e7a0a28cff746e118a9b76e6cd123</originalsourceid><addsrcrecordid>eNqNkE1v2zAMho2hA5Z-_Aedhl3s6sOW7UuxNW3XoS0WoFuvAkNTjYLESiUZwf79FGRArzuRAF8-BJ-i-Cx4VXPZXe73-yqiozE567AaKV0-3D5VWopKK_WhmAmtZdm3fXOSey5U2XdSfypOY1xzrkQnmlkxLIJHipEtIMCWEgW2CDQ4TM6PzFt246ylcDgCm8MoxikQewGcpi2bQ0xufGXXEGlgeeF52u18SOyFMPnAngBXbqTz4qOFTaSLf_Ws-H13-2t-Xz7-_P5j_u2xRNlqVQ44SKihb6hWVthlj8ixqTvetKoR0mIHklrgIDu0tq01CdFBv2w1aRyEVGfFlyN3F_zbRDGZrYtImw2M5KdoRNuouq8b0eXo1TGKwccYyJpdcFsIf4zg5qDXZL3mXa_Jek3Wa7Jek_VmwNcjIAUYYyJcmbWfwpj_-1_EX-8wjeI</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1753494518</pqid></control><display><type>article</type><title>Process Parameter Prediction of Differential Pressure Vacuum Casting Based on Support Vector Machine</title><source>Scientific.net Journals</source><creator>Hu, Qing Xi ; Zhang, Xu ; Zhang, Hai Guang ; Zhang, Zhuang Ya</creator><creatorcontrib>Hu, Qing Xi ; Zhang, Xu ; Zhang, Hai Guang ; Zhang, Zhuang Ya</creatorcontrib><description>To reduce warpage deformation of the differential pressure vacuum casting (DPVC) products and to improve product quality, One prediction method for process parameters based on support vector machine (SVM) and artificial fish-swarm algorithm (AFSA) is proposed.Firstly sample test data is abtained by using orthogonal experimental design and numerical simulation to construct models to forecast warpage of DPVC product based on SVM. Simultaneously to improve the predictive accuracy of the model, AFSA is introduced to optimize the SVM model. And then using this model recommends and adjusts the DPVC process in order to achieve quality control. Finally , through the analysis of a mouse shell , the validity of the method proposed is verified, providing a feasible method for DPVC product quality control</description><identifier>ISSN: 1013-9826</identifier><identifier>ISSN: 1662-9795</identifier><identifier>EISSN: 1662-9795</identifier><identifier>DOI: 10.4028/www.scientific.net/KEM.621.633</identifier><language>eng</language><publisher>Trans Tech Publications Ltd</publisher><subject>Construction equipment ; Design engineering ; Differential pressure ; Mathematical models ; Process parameters ; Quality control ; Support vector machines ; Vacuum casting ; Warpage</subject><ispartof>Key engineering materials, 2014-08, Vol.621, p.633-638</ispartof><rights>2014 Trans Tech Publications Ltd</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c2763-dcd2a4a95e43f1fb9cc0c5480573512fc8a2e7a0a28cff746e118a9b76e6cd123</citedby><cites>FETCH-LOGICAL-c2763-dcd2a4a95e43f1fb9cc0c5480573512fc8a2e7a0a28cff746e118a9b76e6cd123</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttps://www.scientific.net/Image/TitleCover/3351?width=600</thumbnail><link.rule.ids>314,778,782,27907,27908</link.rule.ids></links><search><creatorcontrib>Hu, Qing Xi</creatorcontrib><creatorcontrib>Zhang, Xu</creatorcontrib><creatorcontrib>Zhang, Hai Guang</creatorcontrib><creatorcontrib>Zhang, Zhuang Ya</creatorcontrib><title>Process Parameter Prediction of Differential Pressure Vacuum Casting Based on Support Vector Machine</title><title>Key engineering materials</title><description>To reduce warpage deformation of the differential pressure vacuum casting (DPVC) products and to improve product quality, One prediction method for process parameters based on support vector machine (SVM) and artificial fish-swarm algorithm (AFSA) is proposed.Firstly sample test data is abtained by using orthogonal experimental design and numerical simulation to construct models to forecast warpage of DPVC product based on SVM. Simultaneously to improve the predictive accuracy of the model, AFSA is introduced to optimize the SVM model. And then using this model recommends and adjusts the DPVC process in order to achieve quality control. Finally , through the analysis of a mouse shell , the validity of the method proposed is verified, providing a feasible method for DPVC product quality control</description><subject>Construction equipment</subject><subject>Design engineering</subject><subject>Differential pressure</subject><subject>Mathematical models</subject><subject>Process parameters</subject><subject>Quality control</subject><subject>Support vector machines</subject><subject>Vacuum casting</subject><subject>Warpage</subject><issn>1013-9826</issn><issn>1662-9795</issn><issn>1662-9795</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><recordid>eNqNkE1v2zAMho2hA5Z-_Aedhl3s6sOW7UuxNW3XoS0WoFuvAkNTjYLESiUZwf79FGRArzuRAF8-BJ-i-Cx4VXPZXe73-yqiozE567AaKV0-3D5VWopKK_WhmAmtZdm3fXOSey5U2XdSfypOY1xzrkQnmlkxLIJHipEtIMCWEgW2CDQ4TM6PzFt246ylcDgCm8MoxikQewGcpi2bQ0xufGXXEGlgeeF52u18SOyFMPnAngBXbqTz4qOFTaSLf_Ws-H13-2t-Xz7-_P5j_u2xRNlqVQ44SKihb6hWVthlj8ixqTvetKoR0mIHklrgIDu0tq01CdFBv2w1aRyEVGfFlyN3F_zbRDGZrYtImw2M5KdoRNuouq8b0eXo1TGKwccYyJpdcFsIf4zg5qDXZL3mXa_Jek3Wa7Jek_VmwNcjIAUYYyJcmbWfwpj_-1_EX-8wjeI</recordid><startdate>20140801</startdate><enddate>20140801</enddate><creator>Hu, Qing Xi</creator><creator>Zhang, Xu</creator><creator>Zhang, Hai Guang</creator><creator>Zhang, Zhuang Ya</creator><general>Trans Tech Publications Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SR</scope><scope>7TB</scope><scope>8BQ</scope><scope>8FD</scope><scope>F28</scope><scope>FR3</scope><scope>JG9</scope></search><sort><creationdate>20140801</creationdate><title>Process Parameter Prediction of Differential Pressure Vacuum Casting Based on Support Vector Machine</title><author>Hu, Qing Xi ; Zhang, Xu ; Zhang, Hai Guang ; Zhang, Zhuang Ya</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2763-dcd2a4a95e43f1fb9cc0c5480573512fc8a2e7a0a28cff746e118a9b76e6cd123</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Construction equipment</topic><topic>Design engineering</topic><topic>Differential pressure</topic><topic>Mathematical models</topic><topic>Process parameters</topic><topic>Quality control</topic><topic>Support vector machines</topic><topic>Vacuum casting</topic><topic>Warpage</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hu, Qing Xi</creatorcontrib><creatorcontrib>Zhang, Xu</creatorcontrib><creatorcontrib>Zhang, Hai Guang</creatorcontrib><creatorcontrib>Zhang, Zhuang Ya</creatorcontrib><collection>CrossRef</collection><collection>Engineered Materials Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Materials Research Database</collection><jtitle>Key engineering materials</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hu, Qing Xi</au><au>Zhang, Xu</au><au>Zhang, Hai Guang</au><au>Zhang, Zhuang Ya</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Process Parameter Prediction of Differential Pressure Vacuum Casting Based on Support Vector Machine</atitle><jtitle>Key engineering materials</jtitle><date>2014-08-01</date><risdate>2014</risdate><volume>621</volume><spage>633</spage><epage>638</epage><pages>633-638</pages><issn>1013-9826</issn><issn>1662-9795</issn><eissn>1662-9795</eissn><abstract>To reduce warpage deformation of the differential pressure vacuum casting (DPVC) products and to improve product quality, One prediction method for process parameters based on support vector machine (SVM) and artificial fish-swarm algorithm (AFSA) is proposed.Firstly sample test data is abtained by using orthogonal experimental design and numerical simulation to construct models to forecast warpage of DPVC product based on SVM. Simultaneously to improve the predictive accuracy of the model, AFSA is introduced to optimize the SVM model. And then using this model recommends and adjusts the DPVC process in order to achieve quality control. Finally , through the analysis of a mouse shell , the validity of the method proposed is verified, providing a feasible method for DPVC product quality control</abstract><pub>Trans Tech Publications Ltd</pub><doi>10.4028/www.scientific.net/KEM.621.633</doi><tpages>6</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1013-9826 |
| ispartof | Key engineering materials, 2014-08, Vol.621, p.633-638 |
| issn | 1013-9826 1662-9795 1662-9795 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_1753494518 |
| source | Scientific.net Journals |
| subjects | Construction equipment Design engineering Differential pressure Mathematical models Process parameters Quality control Support vector machines Vacuum casting Warpage |
| title | Process Parameter Prediction of Differential Pressure Vacuum Casting Based on Support Vector Machine |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-17T04%3A59%3A33IST&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=Process%20Parameter%20Prediction%20of%20Differential%20Pressure%20Vacuum%20Casting%20Based%20on%20Support%20Vector%20Machine&rft.jtitle=Key%20engineering%20materials&rft.au=Hu,%20Qing%20Xi&rft.date=2014-08-01&rft.volume=621&rft.spage=633&rft.epage=638&rft.pages=633-638&rft.issn=1013-9826&rft.eissn=1662-9795&rft_id=info:doi/10.4028/www.scientific.net/KEM.621.633&rft_dat=%3Cproquest_cross%3E1753494518%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=1753494518&rft_id=info:pmid/&rfr_iscdi=true |