Surface Roughness Prediction in CNC Hole Turning of 3X13 Steel using Support Vector Machine Algorithm

Surface Roughness Prediction in CNC Hole Turning of 3X13 Steel using Support Vector Machine Algorithm

This paper presents research on a prediction method of surface roughness in the hole turning process of 3X13 steel. The experimental matrix was designed by using the Central Composite Design (CCD) with four input parameters including cutting speed, feed rate, cutting depth, and tool nose radius. Usi...

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Bibliographic Details
Main Authors: T. Do Duc, N. Nguyen Ba, C. Nguyen Van, T. Nguyen Nhu, D. Hoang Tien
Format: Article
Language:English
Published: University of Kragujevac 2020-12-01
Series:Tribology in Industry
Subjects:
hole turning
3x13 steel
surface roughness
rsm
svm
Online Access:http://www.tribology.rs/journals/2020/2020-4/2020-4-07.html

Internet

http://www.tribology.rs/journals/2020/2020-4/2020-4-07.html

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