Experimental Investigation of Effects of Machining Parameters on Surface Roughness and Chip Formation of Aluminum Alloys by Face Turning

Abstract:

This paper investigates the effect of process parameters on surface roughness and chips formation in face turning of aluminium A2025 alloy international standard or A3035 alloy Korean standard using conventional lathe. The parameters namely the spindle speed, depth of cut and feed rate are varied to study their effect on surface roughness and chip characteristics. The experiments are conducted with all possible combination of factors in order to get the influence of every factor. The study reveals that the surface roughness is directly influenced by the spindle speed, depth of cut and feed rate. It is observed that the surface roughness increases with increased feed rate and depth of cut and is higher atlower speeds. The surface roughness analysis was done by atomic force microscope (AFM).The chips formed were continuous but varied in size and shape basing on the machining parameters. The depth of cut has no significant influence on the chips formation. The results shown here shows the ability of face turning method to test the surface roughness and chip formation on aluminium alloys. The face turning method used is simple and effective.

• Periodical: Applied Mechanics and Materials (Volumes 799-800)
• Pages: 299-306
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.799-800.299
• Online since: October 2015
• Authors: Meshack Olygen Kusimba, Seong Joo Choi
• Keywords: Chip Characteristic, Depth of Cut, Federate, Spindle Speed, Surface Roughness

References

[1] Adityam M. effect of high speed machining on surface topography of titanium alloy, (2003).

[2] Mohammed T. Hayajneh, Montasser S. Tahat, Joachim BluhmC, A Study of the Effects of Machining Parameters on the Surface Roughness in the End-Milling Process. Jordan Journal of Mechanical and Industrial Engineering. Volume 1, Number 1, (1), pp.1-5, (2007).

[3] Shaw M.C., Metal cutting principles. Oxford university press, oxford NY. (1984).

[4] Darwish, S. M, The impact of the tool material and the cutting parameters on surface roughness of supermet 718 nickel super alloy. Journal of Material Processing Technology. 97, pp.10-18. (2000).

DOI: 10.1016/s0924-0136(99)00365-9

[5] Kopa C, J., Bahor, M., Sokovi C, M., Optimal machining parameters for achieving the desired surface roughness in fine turning of cold preformed steel work-pieces. International Journal of Machine Tools Manufacturing, vol. 42, pp.707-716, (2002).

DOI: 10.1016/s0890-6955(01)00163-8

[6] S. P. Dwivedi, Sudhir Kumar and Ajay Kumar Effect of turning parameters on surface roughness of A356/5% SiC composite produced by electromagnetic stir casting, Journal of Mechanical Science and Technology vol. 26(12), , pp.3973-3979, (2012).

DOI: 10.1007/s12206-012-0914-5

[7] Feng C. X. (jack) and Wang X., Development of empirical models for surface roughness prediction in finish turning, Journal of Advanced Manufacturing Technology, Volume 20, pp.348-356. (2002).

DOI: 10.1007/s001700200162

[8] Suresh P.V. s., Rao P. V. and Deshmukh S.G., genetic algorithm approach for optimization of surface roughness prediction model, international journal of machine tools and manufacture, Volume 42, pp.348-356, (2002).

DOI: 10.1016/s0890-6955(02)00005-6

[9] Davis, ROptimization of Surface Roughness in Wet Turning Operation Of En24 Steel, International Journal of Mechanical and Production Engineering Research and Development (IJMPERD), Vol. 2, Issue 3, pp.28-35, (2012).

[10] B. Sidda Reddy, J. Suresh Kumar, K. Vijaya Kumar Reddy, Prediction of Surface Roughness in Turning Using Adaptive Neuro-Fuzzy Inference System. Jordan Journal of Mechanical and Industrial Engineering. Volume 3, (4), p.252 – 259, (2009).

[11] Zhong Z. W., Khoo L. P. and Han S. T., prediction of surface roughness of turned surface using neutral network, International Journal of Advanced Manufacturing Technology, Volume 28, pp.688-693, (2006).

DOI: 10.1007/s00170-004-2429-4

[12] Α.Κ. Baldoukas Experimental investigation of the effect of cutting depth, tool rake angle and workpiece material type on the main cutting force during a turning process. 3rd International Conference on Manufacturing Engineering (ICMEN), (2008).

[13] Akash Rathi, AbhishekMahor, Rajeev Ranjan, AbhishekGajbhiye, A. Rehman, C M Krishna, Characterization of Chip Morphology for Aluminum Metal Matrix Composites in End Milling Machining,. Universal Journal of Mechanical Engineering, (7) (2), pp.240-247, (2014).

DOI: 10.13189/ujme.2014.020705

[14] Mason D. Morehead and Yong Huang, Chip morphology characterization and modeling in machining hardened 52100 steels,. Machining Science and Technology, 11, p.335–354, (2007).

[15] A. Pramanik, L.C. Zhang, J.A. Arsecularatne Machining of metal matrix composites: Effect of ceramic particles on residual stress, surface roughness and chip formation, International Journal of Machine Tools & Manufacture, 48, p.1613–1625, (2008).

DOI: 10.1016/j.ijmachtools.2008.07.008