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Determination of Optimal Cutting Conditions in Milling Process using Multiple Design of Experiments Technique  

Kim, Yong-Sun (서울시립대학교 기계정보공학과 대학원)
Kwon, Won-Tae (서울시립대학교 기계정보공학과)
Publication Information
Journal of the Korean Society of Manufacturing Technology Engineers / v.20, no.3, 2011 , pp. 232-238 More about this Journal
Abstract
In the present study, Taguchi method is used to determine the rough region first, followed by RSM technique to determine the exact optimum value during milling on a machining center. A region reducing algorithm is applied to narrow down the region of the Taguchi method for RSM. The result from the Taguchi method is fed to train the artificial neural network (ANN), whose optimum value is used to drive the region reducing algorithm. The proposed algorithm is tested under different cutting condition and results show that the introduced algorithm works well during milling process. It is also shown that theoretically obtained optimal cutting condition is very close to experimentally obtained result.
Keywords
Design of experiments; Taguchi method; Response surface method; Central Composite Designs(CCD); Neural Network;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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