Hsiuping University of Science and Technology Institutional Repository : Item 310993100/350
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题名: Apply grey forecasting method for fitting and predicting the surface roughness of SK3-YK30 tool steel in the wire electric discharge machining
作者: Nun-Ming Liu
贡献者: Department of Mechanical Engineering
关键词: grey forecasting method
predicting
surface roughness
wire electric discharge machining
日期: 2008-03
上传时间: 2008-08-26T03:08:48Z
摘要: 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..
關聯: 修平學報 16, 41-54
显示于类别:[機械工程系(含精密機械與製造科技碩士班)] 期刊論文

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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.pdf3483KbAdobe PDF6888检视/开启

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