Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/549
Full metadata record
DC FieldValueLanguage
dc.contributor.authorPanda, S S-
dc.date.accessioned2007-11-07T06:57:39Z-
dc.date.available2007-11-07T06:57:39Z-
dc.date.issued2007-
dc.identifier.citationProceedings of the National Conference on Quality, Reliability and Maintainability aspect in Engineering systems (2007), NIT Hamirpuren
dc.identifier.urihttp://hdl.handle.net/2080/549-
dc.descriptionCopyright for the published version belongs to NIT Hamirpuren
dc.description.abstractThe reason for acquiring the drill wear state information is to enhance the predictive capability to allow the machine operator to schedule tool change or regrind just in time to avoid underused or overuse of tools. On the other hand, drill wear affects the ability of the hole cutting system to satisfy specified performance characteristics, such as hole roundness, centering, burr formation at drill exit, and surface finish.en
dc.format.extent49607 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoen-
dc.publisherNIT, Hamirpuren
dc.titleSimultaneous prediction of surface roughness and drill flank wear in drilling a mild steel work piece using ANNen
dc.typeArticleen
Appears in Collections:Conference Papers

Files in This Item:
File Description SizeFormat 
sspanda-QRMAES-2007.pdf48.44 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.