An artificial immune system approach to CNC tool path generation

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dc.contributor.authorUelker, Erkan
dc.contributor.authorTuranalp, Mehmet Emin
dc.contributor.authorHalkaci, H. Selcuk
dc.date.accessioned2020-03-26T17:37:50Z
dc.date.available2020-03-26T17:37:50Z
dc.date.issued2009
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractReduced machining time and increased accuracy for a sculptured surface are both very important when producing complicated parts, so, the step-size and tool-path interval are essential components in high-speed and high-resolution machining. If they are too small, the machining time will increase, whereas if they are too large, rough surfaces will result. In particular, the machining time, which is a key factor in high-speed machining, is affected by the tool-path interval more than the step size. The present paper introduces a 'system software' developed to reduce machining time and increased accuracy for a sculptured surface with Non-Uniform Rational B-Spline (NURBS) patches. The system is mainly based on a new and a powerful artificial intelligence (AI) tool, called artificial immune systems (AIS). It is implemented using C programming language on a PC. It can be used as stand alone system or as the integrated module of a CNC machine tool. With the use of AIS, the impact and power of AI techniques have been reflected on the performance of the tool path optimization system. The methodology of the developed tool path optimization system is illustrated with practical examples in this paper.en_US
dc.description.sponsorshipScientific Research Projects (BAP) of Selcuk University (in Turkey)Selcuk Universityen_US
dc.description.sponsorshipThis study has been supported by the Scientific Research Projects (BAP) of Selcuk University (in Turkey).en_US
dc.identifier.doi10.1007/s10845-008-0104-6en_US
dc.identifier.endpage77en_US
dc.identifier.issn0956-5515en_US
dc.identifier.issue1en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage67en_US
dc.identifier.urihttps://dx.doi.org/10.1007/s10845-008-0104-6
dc.identifier.urihttps://hdl.handle.net/20.500.12395/23263
dc.identifier.volume20en_US
dc.identifier.wosWOS:000262578000006en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSPRINGERen_US
dc.relation.ispartofJOURNAL OF INTELLIGENT MANUFACTURINGen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectTool-pathen_US
dc.subjectNURBSen_US
dc.subjectArtificial intelligenceen_US
dc.subjectArtificial immune systemsen_US
dc.subjectOptimization systemen_US
dc.titleAn artificial immune system approach to CNC tool path generationen_US
dc.typeArticleen_US

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