Surface Roughness Predictive Model of UNS A97075 Aluminum Pieces Obtained by Dry Turning Tests Based on the Cutting Forces

Abstract:

The present work shows an experimental study for a first approach of a surface roughness predictive model of UNS A97075 aluminum pieces obtained by dry turning tests based on the cutting forces. In a first step, a design of experiments (DOE) 25 was employed to analyse the influence of the cutting parameters and type of tool on the surface roughness with the objective to find out a combination of cutting conditions that allow obtaining a range of values of surfaces roughness according to the aeronautical specifications requierements. The factors considered for this design were the feed rate, spindle speed, depth of cut, type of tool (nose radious) and machined length (zone of the workpiece where the surface roughness measurements are taken). The obtained data was analysed by means of the analysis of variance (ANOVA) method. And secondly, with the previous selected conditions selected it was developed by multiple regression a model to predict the surface roughness by measuring the cutting forces generated during the dry turning tests of aluminum alloy UNS A97075 pieces. The predictive model of surface roughness obtained includes statistical values calculated from the forces sygnal in time and frequency domains.

• Periodical: Applied Mechanics and Materials (Volumes 217-219)
• Pages: 1628-1635
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.217-219.1628
• Online since: November 2012
• Authors: Beatriz De Agustina, Eva María Rubio, Miguel Ángel Sebastián
• Keywords: ANOVA, Design of Experiment (DOE), Dry Turning, Regression Model, UNS A97075 Aluminum Alloys

References

[1] G. Boothroyd, and W.A. Knight: eds. (1998) Fundamentals of Machining and Machine Tools, Marcel Dekker, New York.

[2] M.E, Merchant: Mechanics of the metal cutting process, Journal of Applied Physics, Vol. 16 (6) (1945), 318–324.

[3] W.,Grzesik:(1996): Journal of Wear,Vol. 194, p.143–148.

[4] K.A. Risbood, U.S. Dixit and A.D Sahasrabudhe: Journal of Materials Processing Technology, Vol.132 (1–3) (2003), pp.203-214

[5] A.H. El-Sinawi and R. Kashani: Journal of Materials Processing Technology, Vol. 167 (1)(2005), pp.54-61

[6] K. Bouacha, M. A. Yallese, T. Mabrouki and J.Rigal: International Journal of Refractory Metals and Hard Materials, Vol. 28, Issue 3 (2010), pp.349-361

DOI: 10.1016/j.ijrmhm.2009.11.011

[7] İ. Asiltürk and H. Akkuş: Journal of Measurement, Vol. 44 (9) (2011), pp.1697-1704

[8] Y. Jiao, S. Lei, Z.J. Pei, E.S. Lee: International Journal of .Machine Tools & Manufacture, Vol. 44, (2004). p.1643–1651.

[9] F. Cus, M. Milfelner, J. Balic: Journal of Materials Processing Technology, Vol. 175 (1–3) (2006), pp.90-97

[10] F.J. Pontes, A. Paiva, P.P. Balestrassi, J. R. Ferreira, M. B. da Silva: Journal of Expert Systems with Applications, Vol. 39 (9) (2012), pp.7776-7787

[11] S.Neşeli, S. Yaldız, E. Türkeş:Journal of Measurement, Vol. 44 (3) (2011), pp.580-587

[12] M.A. Sebastian, J.M. Sánchez-Sola, M.S. Carrilero, J.M. Gonzalez, M. Alvarez and M. Marcos: International Journal Manufacturing Science & Production, Vol. 4(4) pp. (2002), pp.181-188.

[13] M.A. Sebastian, J.M. Sánchez-Sola, J.M. Gonzalez, M.S. Carrilero, M. Alvarez and M. Marcos: International Journal Manufacturing Science & Production, Vol. 4(4) pp. (2002), pp.211-188.

[14] ISO 4288:1996, Geometrical product specifications (GPS). Surface texture: profile method. Rules and procedures for the assessment of surface texture (1996) ISO, Genève.

DOI: 10.3403/02337030u

[15] ANSI/ASME B46.1-2009: (2010) Surface texture: surface roughness, waviness and lay. ASME, New York

[16] E.M. Rubio, A.M. Camacho and J.M. Sánchez-Sola: M., Journal of Materials Processing Technology, Vol. 162–163(2005), p.682–689

DOI: 10.1016/j.jmatprotec.2005.02.096