Data mining and Taguchi method combination applied to the selection of discharge factors and the best interactive factor combination under multiple quality properties

NCUIR > Engineering College > Graduate Institute of Mechanical Engineering > journal & Dissertation > Item 987654321/30579

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/30579

Title:	Data mining and Taguchi method combination applied to the selection of discharge factors and the best interactive factor combination under multiple quality properties
Authors:	Chang,Ting-Cheng;Tsai,Feng-Che;Ke,Jiuan-Hung
Contributors:	機械工程研究所
Keywords:	MACHINING PROCESS;ROUGH SETS
Date:	2006
Issue Date:	2010-07-06 16:22:37 (UTC+8)
Publisher:	中央大學
Abstract:	This research uses data mining to effectively analyze and confirm that the factors affecting discharge for electrical discharge machining (EDM) are, pulse-on time, pulse-off time, open discharge voltage, or interval voltage. The Taguchi method is used to
Relation:	INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
Appears in Collections:	[Graduate Institute of Mechanical Engineering] journal & Dissertation

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