Application of Shainin Design of Experiment Method on Metal Turning Operation

Abstract:

Surface roughness on machined part is a key performance index of surface quality for metal machining industry. Machining condition is a way to reduce surface roughness of the machined part. This study aimed to determine the significant factors affecting surface roughness and to obtain the optimal machining operation in turning process. The Shainin design of experiment method was used to investigate the effect of five machining factors on surface roughness in turning process of carbon steel. Furthermore, analysis of variance and multiple comparisons were used to determine the optimal machining condition of the significant factors. The results showed that set of the cutting tool angle was the only significant factor affecting the average surface roughness with the optimal operating condition of 120 degree used for reducing surface roughness of the machined part.

• Periodical: Advanced Materials Research (Volume 1016)
• Pages: 49-53
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.1016.49
• Online since: August 2014
• Authors: Charnnarong Saikaew*, Chollatit Chanapal, Theerawet Phrachai
• Keywords: Machined Surface Quality, Optimization, Shainin’s Variables Search Method, Turning Process

References

[1] P. G. Benardos and G. -C. Vosniakos: Int. J. Machine Tools & Manuf. Vol. 43 (2003), p.833–844.

[2] P. J. Arrazola, T. Ozel, D. Umbrello, M. Davies and I.S. Jawahir: CIRP Annals–Manuf. Technol. Vol. 62 (2013), pp.695-718.

DOI: 10.1016/j.cirp.2013.05.006

[3] S. Neseli, S. Yaldız and E. Turkes: Measurement Vol. 44 (2011), p.580–587.

[4] .

[4] K. Bouacha, M. A. Yallese, T. Mabrouki and J. -F. Rigal: Int. J. Refract. Metals Hard Mater. Vol. 28 (2010), p.349–361.

[5] Z. Hessainia, A. Belbah, M. A. Yallese, T. Mabrouki and J. -F. Rigal: Measurement Vol. 46 (2013), pp.1671-1681.

DOI: 10.1016/j.measurement.2012.12.016

[6] K. R. Bhote and A.K. Bhote: World Class Quality Using Design of Experiments to Make It Happen, 2nd Edition, AMACOM, NY (2000).

DOI: 10.2307/1269965

[7] A. Thomas and J. Antony: Assembly Automation Vol. 24 (2004), p.184–191.

[8] C. Emmelmann and J.P.C. Urbina: Physics Procedia Vol. 12 (2011), p.172–181.

[9] S.H. Steiner, R.J. MacKay and J.S. Ramberg: Quality Engineering, Vol. 20 (2008), p.6–19.

[10] J. Antony and A.H.Y. Cheng: J. European Industrial Training, 27/8 (2003), pp.405-412.

[11] D.C. Montgomery: Design and Analysis of Experiments, 6th Edition, John Wiley & Sons, NY (2001).

[12] Stat-Ease, Inc.: Design Expert Software V. 7, MN (2005).