Abstract
The curved parts of Aluminium 7075 alloy are extensively used in automotive and aircraft structures. In curved surface milling, the tool-workpiece contact changes continuously varying effective tool radius, active cutting speed and cutting forces all the time during machining. These variations lead to a change in metal removal mechanism from shearing to ploughing and vice-versa that determines the final product quality. In the present work, the tool-path strategies are investigated in the first phase wherein 3D offset found to be the best finishing strategy. Latter, the parametric analysis is performed by conducting the statistically designed experiments with 3D offset strategy to highlight the input-output correlations. The Khattree–Naik’s equation/plot is used to analyse the multivariate data in milling and accordingly the better input parameters are selected. A ball-end tool imparting the entire tool face and cutting the surface from all-around with consistent cutting conditions enhances the tool life with a better finish. The results show that along with the magnitude of the force, a time lag (Δt) and nature of force profile are equally significant in determining the tool wear and surface roughness.
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Abbreviations
- Ra :
-
Arithmetical mean height of roughness profile (μm)
- Rz :
-
Maximum height of roughness profile within a sampling length (μm)
- Rp :
-
Maximum peak height of the roughness profile (μm)
- Rv :
-
Maximum valley depth of the roughness profile (μm)
- r:
-
Radius of the milling cutter (mm)
- re :
-
Effective radius of the cutter (mm)
- Vc:
-
Cutting speed (m/min)
- Ve :
-
Effective cutting speed (m/min)
- f:
-
Feed rate (mm/rev)
- ap :
-
Axial depth of cut (mm)
- ae :
-
Side step, radial depth of cut (mm)
- Fc :
-
Cutting force (N)
- Ff :
-
Feed force (N)
- gy(t):
-
Khattree–Naik’s function
- t:
-
A parameter in Khattree–Naik’s function
- nf :
-
Number of flutes over a cutting tool
- Wa,VB:
-
Tool wear area (mm2) and length (μm) respectively
- θ°:
-
Lead angle or tool tilt
- ∆t:
-
Time lag between two consecutive cutter contacts on a work surface
References
Santos MC, Machado AR, Sales WF, Barrozo MAS, Ezugwu EO (2016) Machining of aluminum alloys: a review. Int J Adv Manuf Technol 86(9):3067–3080. https://doi.org/10.1007/s00170-016-8431-9
Lasemi A, Xue D, Gu P (2010) Recent development in CNC machining of freeform surfaces: A state-of-the-art review. Comput Aided Des 42(7):641–654. https://doi.org/10.1016/j.cad.2010.04.002
Toh CK (2005) Design, evaluation and optimisation of cutter path strategies when high speed machining hardened mould and die materials. Mater Des 26(6):517–533. https://doi.org/10.1016/j.matdes.2004.07.019
Li Y, Gu P (2004) Free-form surface inspection techniques state of the art review. Comput Aided Des 36(13):1395–1417. https://doi.org/10.1016/j.cad.2004.02.009
Wojciechowski S, Maruda RW, Barrans S, Nieslony P, Krolczyk GM (2017) Optimisation of machining parameters during ball end milling of hardened steel with various surface inclinations. Measurement 111:18–28. https://doi.org/10.1016/j.measurement.2017.07.020
Beňo J, Maňková I, Ižol P, Vrabel’ M (2016) An approach to the evaluation of multivariate data during ball end milling free-form surface fragments. Measurement 84:7-20. doi:https://doi.org/10.1016/j.measurement.2016.01.043
Kurt M, Hartomacioglu S, Mutlu B, Köklü U (2012) Minimization of the surface roughness and form error on the milling of free-form surfaces using a grey relational analysis. Mater Technol 46(3):205–213
Yang L, Wu S, Liu X, Liu Z, Zhu M, Li Z (2018) The effect of characteristics of free-form surface on the machined surface topography in milling of panel mold. Int J Adv Manuf Technol 98(1):151–163. https://doi.org/10.1007/s00170-017-0698-y
Layegh KSE, Lazoglu I (2017) 3D surface topography analysis in 5-axis ball-end milling. CIRP Ann Manuf Technol 66(1):133–136. https://doi.org/10.1016/j.cirp.2017.04.021
Bouzakis KD, Aichouh P, Efstathiou K (2003) Determination of the chip geometry, cutting force and roughness in free form surfaces finishing milling, with ball end tools. Int J Mach Tools Manuf 43(5):499–514. https://doi.org/10.1016/S0890-6955(02)00265-1
Ma J-w, Hu G-q, Z-y J, Zhang N, Wang F-j (2018) Effect of geometric feature and cutting direction on variation of force and vibration in high-speed milling of TC4 curved surface. Int J Adv Manuf Technol 95(5):2207–2218. https://doi.org/10.1007/s00170-017-1388-5
Scandiffio I, Diniz AE, de Souza AF (2017) The influence of tool-surface contact on tool life and surface roughness when milling free-form geometries in hardened steel. Int J Adv Manuf Technol 92(1):615–626. https://doi.org/10.1007/s00170-017-0093-8
Kurt M, Bagci E (2011) Feedrate optimisation/scheduling on sculptured surface machining: a comprehensive review, applications and future directions. Int J Adv Manuf Technol 55(9):1037–1067. https://doi.org/10.1007/s00170-010-3131-3
de Souza AF, Berkenbrock E, Diniz AE, Rodrigues AR (2015) Influences of the tool path strategy on the machining force when milling free form geometries with a ball-end cutting tool. J Braz Soc Mech Sci Eng 37(2):675–687. https://doi.org/10.1007/s40430-014-0200-9
de Oliveira EL, de Souza AF, Diniz AE (2018) Evaluating the influences of the cutting parameters on the surface roughness and form errors in 4-axis milling of thin-walled free-form parts of AISI H13 steel. J Braz Soc Mech Sci Eng 40(7):334. https://doi.org/10.1007/s40430-018-1250-1
Scandiffio I, Diniz AE, de Souza AF (2016) Evaluating surface roughness, tool life, and machining force when milling free-form shapes on hardened AISI D6 steel. Int J Adv Manuf Technol 82(9):2075–2086. https://doi.org/10.1007/s00170-015-7525-0
Yaka H, Demir H, Gok A, Akkus H (2018) Determination of optimum cutting parameters on free form surfaces in terms of form errors and machining times. Sigma J Eng Nat Sci 36(4):1153–1164
Khattree R, Naik DN (2002) Andrews plots for multivariate data: some new suggestions and applications. J Statist Plann Inf 100(2):411–425. https://doi.org/10.1016/S0378-3758(01)00150-1
Ramos AM, Relvas C, Simões JA (2003) The influence of finishing milling strategies on texture, roughness and dimensional deviations on the machining of complex surfaces. J Mater Process Technol 136(1):209–216. https://doi.org/10.1016/S0924-0136(03)00160-2
Shajari S, Sadeghi MH, Hassanpour H (2014) The influence of tool path strategies on cutting force and surface texture during ball end milling of low curvature convex surfaces. Sci World J 2014:14. https://doi.org/10.1155/2014/374526
Vakondios D, Kyratsis P, Yaldiz S, Antoniadis A (2012) Influence of milling strategy on the surface roughness in ball end milling of the aluminum alloy Al7075-T6. Measurement 45(6):1480–1488. https://doi.org/10.1016/j.measurement.2012.03.001
Baburaj M, Ghosh A, Shunmugam MS (2018) Development and experimental validation of a mechanistic model of cutting forces in micro-ball end milling of full slots. Mach Sci Technol 22(5):787–810. https://doi.org/10.1080/10910344.2017.1415932
Li B (2012) A review of tool wear estimation using theoretical analysis and numerical simulation technologies. Int J Refract Met Hard Mater 35:143–151. https://doi.org/10.1016/j.ijrmhm.2012.05.006
García-Osorio C, Fyfe C (2005) Visualization of high-dimensional data via orthogonal curves. J UCS 11:1806–1819. https://doi.org/10.3217/jucs-011-11-1806
Acknowledgements
The authors would like to thank SERB, Department of Science and Technology (DST), New Delhi, that facilitated the experimental work at VNIT, Nagpur (grant: DST/ECR/2016/0001403).
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Mali, R.A., Aiswaresh, R. & Gupta, T.V.K. The influence of tool-path strategies and cutting parameters on cutting forces, tool wear and surface quality in finish milling of Aluminium 7075 curved surface. Int J Adv Manuf Technol 108, 589–601 (2020). https://doi.org/10.1007/s00170-020-05414-7
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DOI: https://doi.org/10.1007/s00170-020-05414-7