Knowledge-Based System for Die Configuration Design in Cold Forging
We propose a knowledge-based system for process planning in cold forging. In our study, we had developed FORTEK-L (FORging Technology of process planning using Expert Knowledge for Layout), which is widely applicable to various shapes and types of equipment. In the next step, we have developed a kno...
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| creator | Takata, Osamu Mitani, Tsubasa Mure, Yuji Umeda, Masanobu Nagasawa, Isao |
| description | We propose a knowledge-based system for process planning in cold forging. In our study, we had developed FORTEK-L (FORging Technology of process planning using Expert Knowledge for Layout), which is widely applicable to various shapes and types of equipment. In the next step, we have developed a knowledge-based die configuration design system, FORTEK-D (Die configuration design), which can generate suitable die configurations from layouts obtained from FORTEK-L. In the development of FORTEK-D, we have analyzed and reproduced the expert engineer’s thinking process during die configuration design. Moreover, we have formulated the data representation, inference method, and knowledge-base for use with this system. In accordance with the formulation, we have developed a prototype system. We applied FORTEK-D to actual forged products and obtained appropriate results. The knowledge using the basic principle is widely applicable to various shapes and on a variety of equipment. Therefore, the abilities to maintain and operate the system have been improved. |
| doi_str_mv | 10.1007/11893004_140 |
| format | Conference Proceeding |
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In our study, we had developed FORTEK-L (FORging Technology of process planning using Expert Knowledge for Layout), which is widely applicable to various shapes and types of equipment. In the next step, we have developed a knowledge-based die configuration design system, FORTEK-D (Die configuration design), which can generate suitable die configurations from layouts obtained from FORTEK-L. In the development of FORTEK-D, we have analyzed and reproduced the expert engineer’s thinking process during die configuration design. Moreover, we have formulated the data representation, inference method, and knowledge-base for use with this system. In accordance with the formulation, we have developed a prototype system. We applied FORTEK-D to actual forged products and obtained appropriate results. The knowledge using the basic principle is widely applicable to various shapes and on a variety of equipment. Therefore, the abilities to maintain and operate the system have been improved.</description><identifier>ISSN: 0302-9743</identifier><identifier>ISBN: 9783540465379</identifier><identifier>ISBN: 3540465375</identifier><identifier>ISBN: 3540465359</identifier><identifier>ISBN: 9783540465355</identifier><identifier>EISSN: 1611-3349</identifier><identifier>EISBN: 3540465391</identifier><identifier>EISBN: 9783540465393</identifier><identifier>DOI: 10.1007/11893004_140</identifier><language>eng</language><publisher>Berlin, Heidelberg: Springer Berlin Heidelberg</publisher><subject>Applied sciences ; Artificial intelligence ; Computer science; control theory; systems ; Exact sciences and technology ; Information systems. Data bases ; Mechanical engineering. Machine design ; Memory organisation. Data processing ; Software</subject><ispartof>Knowledge-Based Intelligent Information and Engineering Systems, 2006, p.1103-1110</ispartof><rights>Springer-Verlag Berlin Heidelberg 2006</rights><rights>2008 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/11893004_140$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/11893004_140$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>309,310,775,776,780,785,786,789,4036,4037,27904,38234,41421,42490</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=19970262$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><contributor>Gabrys, Bogdan</contributor><contributor>Jain, Lakhmi C.</contributor><contributor>Howlett, Robert J.</contributor><creatorcontrib>Takata, Osamu</creatorcontrib><creatorcontrib>Mitani, Tsubasa</creatorcontrib><creatorcontrib>Mure, Yuji</creatorcontrib><creatorcontrib>Umeda, Masanobu</creatorcontrib><creatorcontrib>Nagasawa, Isao</creatorcontrib><title>Knowledge-Based System for Die Configuration Design in Cold Forging</title><title>Knowledge-Based Intelligent Information and Engineering Systems</title><description>We propose a knowledge-based system for process planning in cold forging. In our study, we had developed FORTEK-L (FORging Technology of process planning using Expert Knowledge for Layout), which is widely applicable to various shapes and types of equipment. In the next step, we have developed a knowledge-based die configuration design system, FORTEK-D (Die configuration design), which can generate suitable die configurations from layouts obtained from FORTEK-L. In the development of FORTEK-D, we have analyzed and reproduced the expert engineer’s thinking process during die configuration design. Moreover, we have formulated the data representation, inference method, and knowledge-base for use with this system. In accordance with the formulation, we have developed a prototype system. We applied FORTEK-D to actual forged products and obtained appropriate results. The knowledge using the basic principle is widely applicable to various shapes and on a variety of equipment. Therefore, the abilities to maintain and operate the system have been improved.</description><subject>Applied sciences</subject><subject>Artificial intelligence</subject><subject>Computer science; control theory; systems</subject><subject>Exact sciences and technology</subject><subject>Information systems. Data bases</subject><subject>Mechanical engineering. Machine design</subject><subject>Memory organisation. Data processing</subject><subject>Software</subject><issn>0302-9743</issn><issn>1611-3349</issn><isbn>9783540465379</isbn><isbn>3540465375</isbn><isbn>3540465359</isbn><isbn>9783540465355</isbn><isbn>3540465391</isbn><isbn>9783540465393</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2006</creationdate><recordtype>conference_proceeding</recordtype><recordid>eNpNkE9LAzEQxeM_sNbe_AC5eBFWZ5Jssjnq1qpY8KCeQ7qbLNE1KZuK9Nu7UgXn8mDej5nHI-QM4RIB1BVipTmAMChgj5zwUoCQJde4TyYoEQvOhT4gM62qP0_pQzIBDqzQSvBjMsv5DcbhWEmACakfY_rqXdu54sZm19Lnbd64D-rTQOfB0TpFH7rPwW5CinTucugiDXHc9y1dpKELsTslR9722c1-dUpeF7cv9X2xfLp7qK-XxZox2BQr3bZMMigRfMsaVCAsljjmEko01kuvGiulbGAFlQLnGycrrSx6QGAV8ik5391d29zY3g82NiGb9RA-7LA1qLWC8cHIXey4PFqxc4NZpfSeDYL5qdH8r5F_A3vTXTk</recordid><startdate>2006</startdate><enddate>2006</enddate><creator>Takata, Osamu</creator><creator>Mitani, Tsubasa</creator><creator>Mure, Yuji</creator><creator>Umeda, Masanobu</creator><creator>Nagasawa, Isao</creator><general>Springer Berlin Heidelberg</general><general>Springer</general><scope>IQODW</scope></search><sort><creationdate>2006</creationdate><title>Knowledge-Based System for Die Configuration Design in Cold Forging</title><author>Takata, Osamu ; Mitani, Tsubasa ; Mure, Yuji ; Umeda, Masanobu ; Nagasawa, Isao</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p220t-b9dd2620510fd2c1704a151974474caf6f7ca666c0b0870efce6897a1f0102813</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Applied sciences</topic><topic>Artificial intelligence</topic><topic>Computer science; control theory; systems</topic><topic>Exact sciences and technology</topic><topic>Information systems. Data bases</topic><topic>Mechanical engineering. Machine design</topic><topic>Memory organisation. Data processing</topic><topic>Software</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Takata, Osamu</creatorcontrib><creatorcontrib>Mitani, Tsubasa</creatorcontrib><creatorcontrib>Mure, Yuji</creatorcontrib><creatorcontrib>Umeda, Masanobu</creatorcontrib><creatorcontrib>Nagasawa, Isao</creatorcontrib><collection>Pascal-Francis</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Takata, Osamu</au><au>Mitani, Tsubasa</au><au>Mure, Yuji</au><au>Umeda, Masanobu</au><au>Nagasawa, Isao</au><au>Gabrys, Bogdan</au><au>Jain, Lakhmi C.</au><au>Howlett, Robert J.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Knowledge-Based System for Die Configuration Design in Cold Forging</atitle><btitle>Knowledge-Based Intelligent Information and Engineering Systems</btitle><date>2006</date><risdate>2006</risdate><spage>1103</spage><epage>1110</epage><pages>1103-1110</pages><issn>0302-9743</issn><eissn>1611-3349</eissn><isbn>9783540465379</isbn><isbn>3540465375</isbn><isbn>3540465359</isbn><isbn>9783540465355</isbn><eisbn>3540465391</eisbn><eisbn>9783540465393</eisbn><abstract>We propose a knowledge-based system for process planning in cold forging. In our study, we had developed FORTEK-L (FORging Technology of process planning using Expert Knowledge for Layout), which is widely applicable to various shapes and types of equipment. In the next step, we have developed a knowledge-based die configuration design system, FORTEK-D (Die configuration design), which can generate suitable die configurations from layouts obtained from FORTEK-L. In the development of FORTEK-D, we have analyzed and reproduced the expert engineer’s thinking process during die configuration design. Moreover, we have formulated the data representation, inference method, and knowledge-base for use with this system. In accordance with the formulation, we have developed a prototype system. We applied FORTEK-D to actual forged products and obtained appropriate results. The knowledge using the basic principle is widely applicable to various shapes and on a variety of equipment. Therefore, the abilities to maintain and operate the system have been improved.</abstract><cop>Berlin, Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/11893004_140</doi><tpages>8</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0302-9743 |
| ispartof | Knowledge-Based Intelligent Information and Engineering Systems, 2006, p.1103-1110 |
| issn | 0302-9743 1611-3349 |
| language | eng |
| recordid | cdi_pascalfrancis_primary_19970262 |
| source | Springer Books |
| subjects | Applied sciences Artificial intelligence Computer science control theory systems Exact sciences and technology Information systems. Data bases Mechanical engineering. Machine design Memory organisation. Data processing Software |
| title | Knowledge-Based System for Die Configuration Design in Cold Forging |
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