Milling of Magnesium Alloy with Micro Cutting Tools

Year 2019, Volume: 3 Issue: 1, 30 - 34, 15.07.2019

Mustafa Ay , Ayhan Etyemez , Umut Aydın

Abstract

Micromachining is a method of manufacturing micro-scale products with three-dimensional and complex geometry by using engineering materials with narrow tolerances and high precision. In this study, the effects of feed, cutting speed and chip depth on milling of magnesium alloy material by micro-milling cutting tools were investigated. Taguchi method was used in the test design. By this means, time and cost were saved. The data obtained from the experiments were optimised. The effect of each parameter on the obtained results was determined by using analysis of variance (ANOVA). It is seen from the results of the experimental study obtained by the analysis of variance (ANOVA) that the most effective factor on the formation of cutting force is the revolution with 73,83%. In this study where the Taguchi method was used, the cutting force was minimized. The performance was increased, and the quality of the end product was improved. In this study, it was tried to determine the optimal workability of magnesium material with micro micro-finger milling machining.

Keywords

ANOVA, Magnesium, Micro-milling, Regression Analysis, Taguchi

Supporting Institution

BAPKO of Marmara University

Project Number

FEN-E090517-0273

References

• [1] Kuram E, Ozcelik B. Micro-Milling Performance of AISI 304 Stainless Steel Using Taguchi Method and Fuzzy Logic Modelling. Journal of Intelligent Manufacturing (2016) 27(4):817–830. doi:10.1007/s10845-014-0916-5.
• [2] Kuram E, Ozcelik B. Optimization of Machining Parameters During Micro-Milling of Ti6Al4V Titanium Alloy and Inconel 718 Materials Using Taguchi Method. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture (2016) 231(2):228–242. doi:10.1177/0954405415572662.
• [3] Kuram E, Ozcelik B. Multi-Objective Optimization Using Taguchi Based Grey Relational Analysis for Micro-Milling of Al 7075 Material With Ball Nose End Mill. Measurement (2013) 46(6):1849–1864. doi:10.1016/j.measurement.2013.02.002.
• [4] Kuram E, Ozcelik B. Effects of Tool Paths and Machining Parameters on the Performance in Micro-Milling of Ti6Al4V Titanium With High-Speed Spindle Attachment. The International Journal of Advanced Manufacturing Technology (2016) 84(1-4):691–703. doi:10.1007/s00170-015-7741-7.
• [5] Ucun İ, Aslantaş K, Bedir F. Kesici Takım Kaplama Malzemesinin Mikro Frezeleme İşleminde Takım Elastik Deformasyonu Üzerindeki Etkisi [The Effect of Cutting Tool Coating Material on Tool Elastic Deformation in Micro Milling]. In: Proceedings of 6th International Advanced Technologies Symposium (IATS’11) (2011).
• [6] Kuram E. Mikro Frezelenmesinde İşleme Şartlarının Optimizasyonu [Optimization of Processing Conditions of Soft and Hard Materials in Micro Milling]. Phd Thesis. Gebze Technical University. Kocaeli (2015).
• [7] Rahman M, Senthil Kumar A, Prakash JRS. Micro Miling of Pure Copper. Journal of Materials Processing Technology (2001) 116(1):39–43. doi:10.1016/S0924-0136(01)00848-2.
• [8] Foy K, Wei Z, Matsumura T, Huang Y. Effect of Tilt Angle on Cutting Regime Transition in Glass Micromilling. International Journal of Machine Tools and Manufacture (2009) 49(3-4):315–324. doi:10.1016/j.ijmachtools.2008.10.007.
• [9] Wu T, Cheng K. An Investigation on the Cutting Performance of Nano-Crystalline Diamond Coatings on a Micro-End Mill. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture (2012) 226(8):1421–1424. doi:10.1177/0954405412447484.
• [10] Wu T, Cheng K, Rakowski R. Investigation on Tooling Geometrical Effects of Micro Tools and the Associated Micro Milling Performance. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture (2012) 226(9):1442–1453. doi:10.1177/0954405412449229.
• [11] Ay M, Ay İ. The Prediction and Optimization of the Effects of Abrasive Waterjet Cutting Parameters On Kerf. Acta Physica Polonica A (2016) 129(4):762–766. doi:10.12693/APhysPolA.129.762.