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A Study on Optimal Cutting Conditions of MQL Milling Using Response Surface Analysis  

Lee, Ji-Hyung (Department of Mechanical Engineering, Graduate School, Yeungnam Univ.)
Ko, Tae-Jo (Department of Mechanical Engineering, Yeungnam Univ.)
Baek, Dae-Gyun (Department of Mechanical Engineering, Yeungnam Univ.)
Publication Information
Journal of the Korean Society for Precision Engineering / v.26, no.1, 2009 , pp. 43-50 More about this Journal
Abstract
Semi dry cutting known as MQL (Minimum Quantity Lubrication) machining is widely spreaded into the machining shops nowadays. The objective of this research is to suggest how to derive optimum cutting conditions for the milling process in MQL machining. To reach these goals, a bunch of finish milling experiments was carried out while varying cutting speed, feed rate, oil quantity, depth of cut and so on with MQL. Then, response surface analysis was introduced for the variance analysis and the regression model with the experimental data. Finally, desirability function based on regression model was used to obtain optimal cutting parameters and verification experiment was done.
Keywords
MQL Machining; Response Surface Analysis; Central Composite Design; Desirability Function;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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