Abstract
This study uses the Taguchi method to estimate the influence of cutting factors: cutting speed, depth of cut and feed rate (V, t, S) on chip shrinkage coefficient (K) and surface roughness (Ra) when high-speed milling (HSM) of A7075 aluminum alloy. The results show that the t greatly influences the Ra is 51.16%, the second level of influence on the feed rate is 29.77%, then the cutting speed is 19.06%. With the chip shrinkage coefficient, the t, S, and V affecting K are 64.9%, 21.8%, and 13.4%, respectively. Research using Gray multi-objective optimization to invent the applicable set of cutting factors for K and Ra with the corresponding minimum criteria as follows: V = 1695 (m/min), t = 1.0 (mm), and S = 600 (mm/min) respectively.
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References
T.S. Tuy, B.T. Long, T.T. Luc, N.L.G.C.V. Lieu, N.K.H.K. Thuat (2013)
U.A. Dabade, S.S. Joshi, N. Ramakrishnan, Analysis of surface roughness and chip cross-sectional area while machining with self-propelled round inserts milling cutter. J. Mater. Process. Technol. 132(1–3), 305–312 (2003). https://doi.org/10.1016/S0924-0136(02)00949-4
J. Ribeiro, H. Lopes, L. Queijo, D. Figueiredo, Optimization of cutting parameters to minimize the surface roughness in the end milling process using the Taguchi method. Period. Polytech. Mech. Eng. 61(1), 30–35 (2017). https://doi.org/10.3311/PPme.9114
I.O.S. Ojolo Sunday Joshua, M.O. David, Experimental investigation of cutting parameters on surface roughness prediction during end milling of aluminium 6061 under MQL (minimum quantity lubrication). J. Mech. Eng. Autom. 5, 1–13 (2015)
B. Sidda Reddy, J. Suresh Kumar, K. Vijaya Kumar Reddy, Optimization of surface roughness in CNC end milling using response surface methodology and genetic algorithm. Int. J. Eng. Sci. Technol. 3(8), 102–109 (2012). https://doi.org/10.4314/ijest.v3i8.8
O.S. Joshua, M.O. David, I.O. Sikiru, Experimental investigation of cutting parameters on surface roughness prediction during end milling of aluminium 6061 under MQL (minimum quantity lubrication). J. Mech. Eng. Autom. 5(1), 1–13 (2015). https://doi.org/10.5923/j.jmea.20150501.01
A. Madariaga et al., ScienceDirect effect speed on the surface of face milled effect of cutting on surface integrity face milled 7050–T7451 aluminium workpieces a new methodology to analyze the functional and physi. Procedia CIRP 71, 460–465 (2018). https://doi.org/10.1016/j.procir.2018.05.034
T.H. Pham, D.T. Nguyen, T.L. Banh, V.C. Tong, Experimental study on the chip morphology, tool–chip contact length, workpiece vibration, and surface roughness during high-speed face milling of A6061 aluminum alloy. Proc. Inst. Mech. Eng. Part B J. Eng. Manuf. 234(3), 610–620 (2020). https://doi.org/10.1177/0954405419863221.
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Pham, TH., Nguyen, DT., Tran, VH., Phan, DT. (2024). Optimization of Machining Factors Affects Chip Shrinkage Coefficient, Surface Roughness When High-Speed Milling of Aluminum Alloy A7075. In: Long, B.T., et al. Proceedings of the 3rd Annual International Conference on Material, Machines and Methods for Sustainable Development (MMMS2022). MMMS 2022. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-031-57460-3_35
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DOI: https://doi.org/10.1007/978-3-031-57460-3_35
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