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Appl. Sci. 2018, 8(8), 1316; https://doi.org/10.3390/app8081316

Improving Stability Prediction in Peripheral Milling of Al7075T6

1
Tecnológico de Monterrey, Escuela de Ingeniería y Ciencias, Av. Eugenio Garza Sada 2501, Monterrey, Nuevo León 64849, Mexico
2
Department of Mechanical Engineering, University of the Basque Country, Alameda de Urquijo s/n, 48013 Bilbao, Bizkaia, Spain
*
Author to whom correspondence should be addressed.
Received: 11 July 2018 / Revised: 1 August 2018 / Accepted: 1 August 2018 / Published: 7 August 2018
(This article belongs to the Special Issue Mechanical Behaviour of Aluminium Alloys)
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Abstract

Chatter is an old enemy to machinists but, even today, is far from being defeated. Current requirements around aerospace components call for stronger and thinner workpieces which are more prone to vibrations. This study presents the stability analysis for a single degree of freedom down-milling operation in a thin-walled workpiece. The stability charts were computed by means of the enhanced multistage homotopy perturbation (EMHP) method, which includes the helix angle but also, most importantly, the runout and cutting speed effects. Our experimental validation shows the importance of this kind of analysis through a comparison with a common analysis without them, especially when machining aluminum alloys. The proposed analysis demands more computation time, since it includes the calculation of cutting forces for each combination of axial depth of cut and spindle speed. This EMHP algorithm is compared with the semi-discretization, Chebyshev collocation, and full-discretization methods in terms of convergence and computation efficiency, and ultimately proves to be the most efficient method among the ones studied. View Full-Text
Keywords: numerical methods; milling; computation; stability numerical methods; milling; computation; stability
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Olvera, D.; Urbikain, G.; Elías-Zuñiga, A.; López de Lacalle, L.N. Improving Stability Prediction in Peripheral Milling of Al7075T6. Appl. Sci. 2018, 8, 1316.

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