Surface roughness prediction of end milling process based on IPSO-LSSVM

Surface roughness prediction of end milling process based on IPSO-LSSVM

Surface roughness is a significant index in evaluating workpiece quality. So research about predicting surface roughness precisely prior to machining is necessary in order to save cost and attain high productivity levels. In this paper, a method called improved particle swarm optimization-least squa...

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Bibliographic Details
Main Authors: Chunzheng DUAN, Qinglong HAO
Format: Article
Language:English
Published: The Japan Society of Mechanical Engineers 2014-07-01
Series:Journal of Advanced Mechanical Design, Systems, and Manufacturing
Subjects:
end milling
surface roughness
prediction
improved particle swarm optimization(ipso)
least square support square vector machine(lssvm)
Online Access:https://www.jstage.jst.go.jp/article/jamdsm/8/3/8_2014jamdsm0024/_pdf/-char/en

Internet

https://www.jstage.jst.go.jp/article/jamdsm/8/3/8_2014jamdsm0024/_pdf/-char/en

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