Simultaneous prediction of surface roughness and drill flank wear in drilling a mild steel work piece using ANN

Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/549

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DC Field	Value	Language
dc.contributor.author	Panda, S S	-
dc.date.accessioned	2007-11-07T06:57:39Z	-
dc.date.available	2007-11-07T06:57:39Z	-
dc.date.issued	2007	-
dc.identifier.citation	Proceedings of the National Conference on Quality, Reliability and Maintainability aspect in Engineering systems (2007), NIT Hamirpur	en
dc.identifier.uri	http://hdl.handle.net/2080/549	-
dc.description	Copyright for the published version belongs to NIT Hamirpur	en
dc.description.abstract	The 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.extent	49607 bytes	-
dc.format.mimetype	application/pdf	-
dc.language.iso	en	-
dc.publisher	NIT, Hamirpur	en
dc.title	Simultaneous prediction of surface roughness and drill flank wear in drilling a mild steel work piece using ANN	en
dc.type	Article	en
Appears in Collections:	Conference Papers

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