Investigating and Modeling the Machinability of Al 6061 Using Response Surface Methodology

Abstract:

Decreasing the effect of temperature, surface roughness and vibration amplitude during turning process will improve machinability. Mathematical model has been developed to predict responses of the surface roughness, temperature and vibration in relation to machining parameters such as the cutting speed, feed rate, and depth of cut. The Box-Behnken First order and second-order response surface methodology was employed to create a mathematical model, and the adequacy of the model was verified using analysis of variance. The experiments were conducted on aluminium 6061 by cemented carbide. The direct and interaction effect of the machining parameters with responses were analyzed. It was found that the feed rate, cutting speed, and depth of cut played a major role on the responses, such as the surface roughness and temperature when machining mild steel AISI 1018. This analysis helped to select the process parameters to improve machinability, which reduces cost and time of the turning process.

• Periodical: Applied Mechanics and Materials (Volume 761)
• Pages: 267-272
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.761.267
• Online since: May 2015
• Authors: Basim A. Khidhir*, Ayad F. Shahab, Sadiq E. Abdullah, Barzan A. Saeed
• Keywords: Machinability, Mathematical Model, Response Surface Methodology

References

[1] S. Jeyakumar, K. Marimuthu, T. Ramachandran, Prediction of cutting force, tool wear and surface roughness of Al6061/SiC composite for end milling operations using RSM, J. Mechan. Sci. Technol. 27 (2013) 2813-2822.

DOI: 10.1007/s12206-013-0729-z

[2] P.V.S. Suresh, P.V. Rao, S.G. Deshmukh, A genetic algorithmic approach for optimization of surface roughness prediction mode, Int. J. Mach. Tools Manuf. 42 (2002) 675-680.

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

[3] H. Oktem, T. Erzurumlu, H. Kurtaran, Application of response surface methodology in the optimization of cutting conditions for surface roughness, J. Mater. Process. Technol. 170 (2005) 11-16.

DOI: 10.1016/j.jmatprotec.2005.04.096

[4] K. Kadirgama, Optimization of surface roughness in end milling on mould aluminum alloys (AA6061-T6) using response surface method and radian basis function network, Jordan J. Mechan. Ind. Eng. 2 (2008) 209-214.

[5] B. Sidda Reddy, J. Suresh Kumar, K. Vijaya Kumar Reddy, Optimization of surface roughness in CNC end milling using response surface methodology and genetic algorithm, Int. J. Eng. Sci. Technol. 3 (2011) 102-109.

DOI: 10.4314/ijest.v3i8.8

[6] I. Kovačić, The chatter vibrations in metal cutting - Theoretical approach, Scientific J. FACTA UNIVERSITATIS Series: Mechan. Eng. 1 (1998) 581-593.

[7] E.M. Trent, P.K. Wright, Metal Cutting, fourth ed., Butterworth–Heinemann, (2000).