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Преглед приступа за аутоматско препознавање технолошких форми са препознавањем образаца на бази логичких правила
A Review of Automated Feature Recognition with Rule-Based Pattern Recognition
dc.creator | Nešić, Nenad | |
dc.creator | Babić, Bojan | |
dc.creator | Miljković, Zoran | |
dc.date.accessioned | 2023-03-16T10:31:08Z | |
dc.date.available | 2023-03-16T10:31:08Z | |
dc.date.issued | 2005 | |
dc.identifier.isbn | 86-7083-508-8 | |
dc.identifier.uri | https://machinery.mas.bg.ac.rs/handle/123456789/6500 | |
dc.description.abstract | Automatsko prepoznavanje tehnoloških primitiva (AFR), pristup je koji daje dosad najveći doprinos istraživačkim naporima za razvoj potpuno automatizovanog CAPP sistema. U ovom radu data je nova, detaljna klasifikacija razvijenih sistema AFR s obzirom na pristupe u rešavanju tri zadatka koji se pred tim procesom postavljaju: (i) izdvajanje geometrijske informacije iz CAD modela, (ii) formiranje odgovarajućeg prikaza dela pogodnog za identifikaciju tehnoloških formi i (iii) prepoznavanje tehnoloških obrazaca. Zatim, u radu su opisane metode za izdvajanje geometrijske informacije s posebnim osvrtom na primenu STEP standarda. U nastavku, dat je pregled novijih istraživačkih rezultata iz oblasti AFR sa prepoznavanjem obrazaca na bazi logičkih pravila. | sr |
dc.description.abstract | Automatic Feature Recognition (AFR) of manufacturing primitives is the approach that has made the largest contribution to research efforts to develop a fully automated CAPP system. In this paper, a new, detailed classification of the developed AFR systems is given, taking into account the approaches to solving the three tasks that are set before that process: (i) extracting geometric information from the CAD model, (ii) forming an appropriate representation of the part suitable for identifying machining forms - primitives, and (iii) recognition of manufacturing patterns. Then, the paper describes methods for extracting geometric information with special reference to the application of the STEP standard. In the following, an overview of recent research results in the field of AFR with pattern recognition based on logical rules is given. | sr |
dc.language.iso | sr | sr |
dc.publisher | JUPITER Asocijacija, Univerzitet u Beogradu - Mašinski fakultet | sr |
dc.relation | info:eu-repo/grantAgreement/MESTD/MPN2006-2010/14031/RS// | sr |
dc.rights | openAccess | sr |
dc.rights.uri | https://creativecommons.org/share-your-work/public-domain/cc0/ | |
dc.source | 31. ЈУПИТЕР Конференција, 18. simpozijum "CAD/CAM", Зборник радова - CD / 31st JUPITER Conference, Proceedings - CD (in Serbian) | sr |
dc.subject | Automatic Feature Recognition (AFR) | sr |
dc.subject | Manufacturing primitives | sr |
dc.subject | Automated CAPP system | sr |
dc.subject | STEP CAD model | sr |
dc.subject | STEP standard | sr |
dc.subject | Prepoznavanje tehnoloških obrazaca | sr |
dc.subject | Logička pravila | sr |
dc.title | Преглед приступа за аутоматско препознавање технолошких форми са препознавањем образаца на бази логичких правила | sr |
dc.title | A Review of Automated Feature Recognition with Rule-Based Pattern Recognition | sr |
dc.type | conferenceObject | sr |
dc.rights.license | CC0 | sr |
dc.rights.holder | Prof. Ljubodrag Tanović | sr |
dc.citation.epage | 2.71 | |
dc.citation.rank | M63 | |
dc.citation.spage | 2.63 | |
dc.identifier.rcub | https://hdl.handle.net/21.15107/rcub_machinery_6500 | |
dc.type.version | publishedVersion | sr |
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