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HUSTIR > College of Engineering > Department of Mechanical Engineering & Graduate Institute of Precision Machinery and Manufacturing Technology > Journal > Item 310993100/350

Please use this identifier to cite or link to this item: http://ir.hust.edu.tw/dspace/handle/310993100/350

Title:	Apply grey forecasting method for fitting and predicting the surface roughness of SK3-YK30 tool steel in the wire electric discharge machining
Authors:	Nun-Ming Liu
Contributors:	Department of Mechanical Engineering
Keywords:	grey forecasting method predicting surface roughness wire electric discharge machining
Date:	2008-03
Issue Date:	2008-08-26T03:08:48Z
Abstract:	The grey forecasting method is suitably applied to establish the predicting formula and acts as an auxiliary to calculate the unfinished experimental data. In this paper, a residual modified grey dynamic model RGM(1,3), using a technique that combine residual modification with the rolling modeling, is proposed for fitting and predicting the surface roughness of SK3-YK30 tool steel in the wire electric discharge machining (WEDM). A statistical analysis of variance (ANOVA) is performed to indicate that the arc on time (AN) and the arc off time (AFF) of discharging are regarded as the significant processing parameters on the performance characteristics of surface roughness. The grey forecasting model of surface roughness is made up of the arc on time (AN) and the arc off time (AFF) of discharging by using the residual modified grey dynamic model RGM(1,3). According to the experimental results, the proposed model in this paper has high accuracy for predicting the performance characteristics and may also solve problems that have too few experimental data..
Relation:	修平學報 16, 41-54
Appears in Collections:	[Department of Mechanical Engineering & Graduate Institute of Precision Machinery and Manufacturing Technology] Journal

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16-03 使用灰色預測法於吻合與預測SK3-YK30工具鋼於放電加工過程中之表面粗糙度.pdf	3483Kb	Adobe PDF	6889	View/Open

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