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http://dx.doi.org/10.7736/KSPE.2017.34.4.253

Numerical Analysis of Thermal Characteristics of a Milling Process of Titanium Alloy Using Nanofluid Minimum-Quantity Lubrication  

Kim, Young Chang (Department of Mechanical Engineering, Graduate School, Sungkyunkwan University)
Kim, Jin Woo (Department of Mechanical Engineering, Graduate School, Sungkyunkwan University)
Kim, Jung Sub (Department of Mechanical Engineering, Graduate School, Sungkyunkwan University)
Lee, Sang Won (School of Mechanical Engineering, Sungkyunkwan University)
Publication Information
Journal of the Korean Society for Precision Engineering / v.34, no.4, 2017 , pp. 253-258 More about this Journal
Abstract
This paper presents a numerical study on the thermal characteristics of a milling process of titanium alloy with nanofluid minimum-quantity lubrication (MQL). The computational fluid dynamics (CFD) approach is introduced for establishing the numerical model for the nanofluid MQL milling process, and estimated temperatures for pure MQL and for nanofluid MQL using both hexagonal boron nitride (hBN) and nanodiamond particles are compared with the temperatures measured by thermocouples in the titanium alloy workpiece. The estimated workpiece temperatures are similar to experimental ones, and the model is validated.
Keywords
Nanofluid minimum quantity lubrication; Milling process; Titanium alloy; Numerical analysis; Thermal characteristics;
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