A knowledge based intelligent process planning method for controller of computer numerical control machine tools
The development of computer, internet and information technology puts forward higher demands for Computer Numerical Control (CNC) machine tools to improve the intelligence in many aspects. Among these aspects, intelligent process planning plays an important role in current changeable market and cust...
Gespeichert in:
| Veröffentlicht in: | Journal of intelligent manufacturing 2020-10, Vol.31 (7), p.1751-1767 |
|---|---|
| Hauptverfasser: | , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 1767 |
|---|---|
| container_issue | 7 |
| container_start_page | 1751 |
| container_title | Journal of intelligent manufacturing |
| container_volume | 31 |
| creator | Ye, Yingxin Hu, Tianliang Yang, Yan Zhu, Wendan Zhang, Chengrui |
| description | The development of computer, internet and information technology puts forward higher demands for Computer Numerical Control (CNC) machine tools to improve the intelligence in many aspects. Among these aspects, intelligent process planning plays an important role in current changeable market and customized product promotion by shortening production cycle and providing more stable process planning ability. To realize intelligent process planning, a CNC controller with cloud knowledge base support is proposed with ability of making process planning autonomously based on workpiece design. Previous work of knowledge model and cloud knowledge base framework design is introduced, and then this paper focuses on the complete process planning method within the intelligent CNC controller. Both interactivity between knowledge base and CNC controller, and query/infer mechanism in knowledge base are illustrated in detail. A case study of two shafts process planning is shown to demonstrate the feasibility of the intelligent process planning method. |
| doi_str_mv | 10.1007/s10845-018-1401-3 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2009237891</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2009237891</sourcerecordid><originalsourceid>FETCH-LOGICAL-c364t-7810cb968fbc22aa8b6a0864186eefd5ec4b3bb0712379ca3cb827ecfe7b393c3</originalsourceid><addsrcrecordid>eNp1kEtLxDAUhYMoOI7-AHcB19Wk6SNdDoMvGHCj65Ckt52OaVKTFPHfm6GKK1f3XvjOuZyD0DUlt5SQ-i5QwosyI5RntCA0YydoRcs6zzgtylO0Ik1ZZWVJy3N0EcKBENLwiq7QtMHv1n0aaHvASgZo8WAjGDP0YCOevNMQAp6MtHawPR4h7l2LO-exdjZ6Zwx47Lp0jdMc027nEfygpfkF8Cj1frCAo3MmXKKzTpoAVz9zjd4e7l-3T9nu5fF5u9llmlVFzGpOiVZNxTul81xKripJeFVQXgF0bQm6UEwpUtOc1Y2WTCue16A7qBVrmGZrdLP4pggfM4QoDm72Nr0UeQqfVLyhiaILpb0LwUMnJj-M0n8JSsSxWLEUK1Kx4lisYEmTL5qQWNuD_3P-X_QNDlF99w</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2009237891</pqid></control><display><type>article</type><title>A knowledge based intelligent process planning method for controller of computer numerical control machine tools</title><source>SpringerLink Journals - AutoHoldings</source><creator>Ye, Yingxin ; Hu, Tianliang ; Yang, Yan ; Zhu, Wendan ; Zhang, Chengrui</creator><creatorcontrib>Ye, Yingxin ; Hu, Tianliang ; Yang, Yan ; Zhu, Wendan ; Zhang, Chengrui</creatorcontrib><description>The development of computer, internet and information technology puts forward higher demands for Computer Numerical Control (CNC) machine tools to improve the intelligence in many aspects. Among these aspects, intelligent process planning plays an important role in current changeable market and customized product promotion by shortening production cycle and providing more stable process planning ability. To realize intelligent process planning, a CNC controller with cloud knowledge base support is proposed with ability of making process planning autonomously based on workpiece design. Previous work of knowledge model and cloud knowledge base framework design is introduced, and then this paper focuses on the complete process planning method within the intelligent CNC controller. Both interactivity between knowledge base and CNC controller, and query/infer mechanism in knowledge base are illustrated in detail. A case study of two shafts process planning is shown to demonstrate the feasibility of the intelligent process planning method.</description><identifier>ISSN: 0956-5515</identifier><identifier>EISSN: 1572-8145</identifier><identifier>DOI: 10.1007/s10845-018-1401-3</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Business and Management ; Control ; Excavation ; Feasibility studies ; Information technology ; Knowledge ; Knowledge bases (artificial intelligence) ; Machine tools ; Machines ; Manufacturing ; Mathematical models ; Mechatronics ; Numerical controls ; Process planning ; Processes ; Production ; Robotics</subject><ispartof>Journal of intelligent manufacturing, 2020-10, Vol.31 (7), p.1751-1767</ispartof><rights>Springer Science+Business Media, LLC, part of Springer Nature 2018</rights><rights>Springer Science+Business Media, LLC, part of Springer Nature 2018.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c364t-7810cb968fbc22aa8b6a0864186eefd5ec4b3bb0712379ca3cb827ecfe7b393c3</citedby><cites>FETCH-LOGICAL-c364t-7810cb968fbc22aa8b6a0864186eefd5ec4b3bb0712379ca3cb827ecfe7b393c3</cites><orcidid>0000-0001-5844-661X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10845-018-1401-3$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10845-018-1401-3$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Ye, Yingxin</creatorcontrib><creatorcontrib>Hu, Tianliang</creatorcontrib><creatorcontrib>Yang, Yan</creatorcontrib><creatorcontrib>Zhu, Wendan</creatorcontrib><creatorcontrib>Zhang, Chengrui</creatorcontrib><title>A knowledge based intelligent process planning method for controller of computer numerical control machine tools</title><title>Journal of intelligent manufacturing</title><addtitle>J Intell Manuf</addtitle><description>The development of computer, internet and information technology puts forward higher demands for Computer Numerical Control (CNC) machine tools to improve the intelligence in many aspects. Among these aspects, intelligent process planning plays an important role in current changeable market and customized product promotion by shortening production cycle and providing more stable process planning ability. To realize intelligent process planning, a CNC controller with cloud knowledge base support is proposed with ability of making process planning autonomously based on workpiece design. Previous work of knowledge model and cloud knowledge base framework design is introduced, and then this paper focuses on the complete process planning method within the intelligent CNC controller. Both interactivity between knowledge base and CNC controller, and query/infer mechanism in knowledge base are illustrated in detail. A case study of two shafts process planning is shown to demonstrate the feasibility of the intelligent process planning method.</description><subject>Business and Management</subject><subject>Control</subject><subject>Excavation</subject><subject>Feasibility studies</subject><subject>Information technology</subject><subject>Knowledge</subject><subject>Knowledge bases (artificial intelligence)</subject><subject>Machine tools</subject><subject>Machines</subject><subject>Manufacturing</subject><subject>Mathematical models</subject><subject>Mechatronics</subject><subject>Numerical controls</subject><subject>Process planning</subject><subject>Processes</subject><subject>Production</subject><subject>Robotics</subject><issn>0956-5515</issn><issn>1572-8145</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp1kEtLxDAUhYMoOI7-AHcB19Wk6SNdDoMvGHCj65Ckt52OaVKTFPHfm6GKK1f3XvjOuZyD0DUlt5SQ-i5QwosyI5RntCA0YydoRcs6zzgtylO0Ik1ZZWVJy3N0EcKBENLwiq7QtMHv1n0aaHvASgZo8WAjGDP0YCOevNMQAp6MtHawPR4h7l2LO-exdjZ6Zwx47Lp0jdMc027nEfygpfkF8Cj1frCAo3MmXKKzTpoAVz9zjd4e7l-3T9nu5fF5u9llmlVFzGpOiVZNxTul81xKripJeFVQXgF0bQm6UEwpUtOc1Y2WTCue16A7qBVrmGZrdLP4pggfM4QoDm72Nr0UeQqfVLyhiaILpb0LwUMnJj-M0n8JSsSxWLEUK1Kx4lisYEmTL5qQWNuD_3P-X_QNDlF99w</recordid><startdate>20201001</startdate><enddate>20201001</enddate><creator>Ye, Yingxin</creator><creator>Hu, Tianliang</creator><creator>Yang, Yan</creator><creator>Zhu, Wendan</creator><creator>Zhang, Chengrui</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7SC</scope><scope>7TB</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>88E</scope><scope>8AL</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FJ</scope><scope>8FK</scope><scope>8FL</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FRNLG</scope><scope>F~G</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K60</scope><scope>K6~</scope><scope>K7-</scope><scope>K9.</scope><scope>L.-</scope><scope>L6V</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M0C</scope><scope>M0N</scope><scope>M0S</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>Q9U</scope><orcidid>https://orcid.org/0000-0001-5844-661X</orcidid></search><sort><creationdate>20201001</creationdate><title>A knowledge based intelligent process planning method for controller of computer numerical control machine tools</title><author>Ye, Yingxin ; Hu, Tianliang ; Yang, Yan ; Zhu, Wendan ; Zhang, Chengrui</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c364t-7810cb968fbc22aa8b6a0864186eefd5ec4b3bb0712379ca3cb827ecfe7b393c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Business and Management</topic><topic>Control</topic><topic>Excavation</topic><topic>Feasibility studies</topic><topic>Information technology</topic><topic>Knowledge</topic><topic>Knowledge bases (artificial intelligence)</topic><topic>Machine tools</topic><topic>Machines</topic><topic>Manufacturing</topic><topic>Mathematical models</topic><topic>Mechatronics</topic><topic>Numerical controls</topic><topic>Process planning</topic><topic>Processes</topic><topic>Production</topic><topic>Robotics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ye, Yingxin</creatorcontrib><creatorcontrib>Hu, Tianliang</creatorcontrib><creatorcontrib>Yang, Yan</creatorcontrib><creatorcontrib>Zhu, Wendan</creatorcontrib><creatorcontrib>Zhang, Chengrui</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Computer and Information Systems Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Access via ABI/INFORM (ProQuest)</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Computing Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Business Premium Collection (Alumni)</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>Computer Science Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ProQuest Engineering Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>ABI/INFORM Global</collection><collection>Computing Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Engineering Database</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>ProQuest Central Basic</collection><jtitle>Journal of intelligent manufacturing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ye, Yingxin</au><au>Hu, Tianliang</au><au>Yang, Yan</au><au>Zhu, Wendan</au><au>Zhang, Chengrui</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A knowledge based intelligent process planning method for controller of computer numerical control machine tools</atitle><jtitle>Journal of intelligent manufacturing</jtitle><stitle>J Intell Manuf</stitle><date>2020-10-01</date><risdate>2020</risdate><volume>31</volume><issue>7</issue><spage>1751</spage><epage>1767</epage><pages>1751-1767</pages><issn>0956-5515</issn><eissn>1572-8145</eissn><abstract>The development of computer, internet and information technology puts forward higher demands for Computer Numerical Control (CNC) machine tools to improve the intelligence in many aspects. Among these aspects, intelligent process planning plays an important role in current changeable market and customized product promotion by shortening production cycle and providing more stable process planning ability. To realize intelligent process planning, a CNC controller with cloud knowledge base support is proposed with ability of making process planning autonomously based on workpiece design. Previous work of knowledge model and cloud knowledge base framework design is introduced, and then this paper focuses on the complete process planning method within the intelligent CNC controller. Both interactivity between knowledge base and CNC controller, and query/infer mechanism in knowledge base are illustrated in detail. A case study of two shafts process planning is shown to demonstrate the feasibility of the intelligent process planning method.</abstract><cop>New York</cop><pub>Springer US</pub><doi>10.1007/s10845-018-1401-3</doi><tpages>17</tpages><orcidid>https://orcid.org/0000-0001-5844-661X</orcidid></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0956-5515 |
| ispartof | Journal of intelligent manufacturing, 2020-10, Vol.31 (7), p.1751-1767 |
| issn | 0956-5515 1572-8145 |
| language | eng |
| recordid | cdi_proquest_journals_2009237891 |
| source | SpringerLink Journals - AutoHoldings |
| subjects | Business and Management Control Excavation Feasibility studies Information technology Knowledge Knowledge bases (artificial intelligence) Machine tools Machines Manufacturing Mathematical models Mechatronics Numerical controls Process planning Processes Production Robotics |
| title | A knowledge based intelligent process planning method for controller of computer numerical control machine tools |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-02T23%3A29%3A05IST&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=A%20knowledge%20based%20intelligent%20process%20planning%20method%20for%20controller%20of%20computer%20numerical%20control%20machine%20tools&rft.jtitle=Journal%20of%20intelligent%20manufacturing&rft.au=Ye,%20Yingxin&rft.date=2020-10-01&rft.volume=31&rft.issue=7&rft.spage=1751&rft.epage=1767&rft.pages=1751-1767&rft.issn=0956-5515&rft.eissn=1572-8145&rft_id=info:doi/10.1007/s10845-018-1401-3&rft_dat=%3Cproquest_cross%3E2009237891%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=2009237891&rft_id=info:pmid/&rfr_iscdi=true |