Short Title: Int. J. Mech. Eng. Robot. Res.
Frequency: Bimonthly
Professor of School of Engineering, Design and Built Environment, Western Sydney University, Australia. His research interests cover Industry 4.0, Additive Manufacturing, Advanced Engineering Materials and Structures (Metals and Composites), Multi-scale Modelling of Materials and Structures, Metal Forming and Metal Surface Treatment.
2024-12-18
2024-10-25
Manuscript received May 29, 2023; revised June 19, 2023; accepted September 1, 2023; published January 9, 2024.
Abstract—Recent machining processes have increasingly focused on the application of Minimum Quantity Lubrication (MQL) nanofluid. This research specifically explores the remarkable performance of nanofluid in the hard milling of SKD11 steel. A well-organized series of experiments was conducted to examine the effects of various cutting fluids, including dry machining, MQL, and nanofluid-based MQL, as well as cutting parameters such as cutting speed, depth of cut, and feed rate, on surface roughness, cutting force, and cutting temperature. The Taguchi method and Analysis of Variance (ANOVA) were applied to determine the optimal values for cutting fluids and cutting parameters. The research findings indicate that to achieve the minimum surface roughness and cutting force, the cutting conditions should be performed with a cutting speed of 80 m/min, a depth of cut of 0.2 mm, a feed rate of 0.01 mm/tooth, and the application of MQL nanofluid as the lubrication condition. The conditions to minimize the cutting temperature are a cutting speed of 40 mm/min, a depth of cut of 0.2 mm, and a feed rate of 0.01 mm/tooth. In addition, the findings also demonstrate the significant efficacy of MQL nanofluid in enhancing surface roughness, diminishing cutting force, and decreasing cutting temperature during the hard milling process of SKD11 alloy steel. Keywords—Al2O3 nanofluid, Minimum Quantity Lubrication (MQL), hard milling, cutting force, surface roughness, thermal cutting, Taguchi, Analysis of Variance (ANOVA) Cite: Minh Hung Vu, The Vinh Do, Minh Hue Pham Thi, and Quoc Manh Nguyen, "The Impact of Cutting Conditions and Cooling Lubrication on Hard Milling of SKD11 Alloy Steel–An Approach Using the Taguchi Method," International Journal of Mechanical Engineering and Robotics Research, Vol. 13, No. 1, pp. 1-10, 2024. Copyright © 2024 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.
