Experimental Investigations of Cutting Conditions Influence on Main Cutting Force and Surface Roughness Based on Chip Form Types in Cast Nylon Turning

Bandit Suksawat

doi:10.4028/www.scientific.net/AMM.110-116.3563

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 110-116Experimental Investigations of Cutting Conditions...

Experimental Investigations of Cutting Conditions Influence on Main Cutting Force and Surface Roughness Based on Chip Form Types in Cast Nylon Turning

Abstract:

This paper aims to investigate cutting conditions influence on main cutting force and surface roughness based on considered chip form types in cast nylon turning operation with single-point high speed steel cutting tool. The 75 experiments were performed by average of three levels of cutting speed, five levels of cutting depth and five levels of feed rate. The results reveal that main cutting forces were increased by an increasing of cutting speed and cutting depth for all obtained chip form types for all chip form types. The surface roughness is affected by increasing of feed rate and reduction of cutting speed for 2.3 Snarled and 4.3 Snarled chip form types. The statistical path-coefficient analysis results are shown that the main cutting force affected by cutting speed, depth of cut and feed rate with total causal effect value of 0.5537, 0.4785 and 0.1718, respectively. The surface roughness is influenced by feed rate, cutting speed and depth of cut with 0.8400, -0.2419 and-0.0711 of total causal effect value, respectively. These results are useful to perform varying cutting conditions for high quality of workpiece in cast nylon turning by control the chip form type.

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Periodical:

Applied Mechanics and Materials (Volumes 110-116)

Pages:

3563-3569

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.110-116.3563

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Online since:

October 2011

Authors:

Bandit Suksawat

Keywords:

Cast Nylon, Chip Form, Cutting Force, Path-Coefficient Analysis, Surface Roughness (SR)

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References

[1] B. Suksawat, Chip form classification and main cutting force prediction of cast nylon in turning operation usig artificial neural network, Proc. International Conference on Control, Automation and System (ICCAS 2010), Oct. 2010, p.172–175.

DOI: 10.1109/iccas.2010.5669890

Google Scholar

[2] M. Günay, İ. Korkut, E. Aslan and U. Şeker, Experimental investigation of the effect to cutting tool rake angle on main cutting force, J. Mat. Proc. Tech., Vol. 166, p.44 – 49, (2005).

DOI: 10.1016/j.jmatprotec.2004.07.092

Google Scholar

[3] T. Özel, T.K. Hsu and E. Seren, Effects of cutting edge geometry, workpiece hardness, feed rate and cutting speed on surface roughness and forces in finish turning of hardened AISI H13 steel, Int. J. Adv. Manuf. Technol., Vol. 25, p.262 – 269, (2005).

DOI: 10.1007/s00170-003-1878-5

Google Scholar

[4] I. Korkut and M. Boy, Experimental Examination of Main Cutting Force and Surface Roughness Depending on Cutting Parameters, J. Mech. Eng., Vol. 54, No. 7-8, pp.531-538, (2008).

Google Scholar

[5] D.I. Lalwani, N.K. Mehta and P.K. Jain, Experimental investigations of cutting parameters influence on cutting forces and surface roughness in finish hard turning of MDN250 steel, J. Mat. Proc. Tech., Vol. 206, pp.167-179, (2006).

DOI: 10.1016/j.jmatprotec.2007.12.018

Google Scholar

[6] A.K. Baldoukas, F.A. Soukatzidis, G.A. Demosthenous and A.E. Lontos, Experimental investigation on the effect of cutting depth, tool rake angle and workpiece material type on the main cutting force during a turning process, Proc. 3rd International Conference on Manufacturing Engineering (ICMEN 2008), Oct. 2008, pp.47-55.

Google Scholar

[7] S. Kaewkuekool, K. Jirapattarasilp and K. Pechkong, A study of influence factors affecting to surface roughness in stainless steel turning, Proc. International Conference on Computer Engineering and Technology (ICCET 2009), Jan. 2009, pp.299-302.

DOI: 10.1109/iccet.2009.114

Google Scholar

[8] E.M. Rubio, A.M. Camacho, J.M. Sánchez-Sola and M. Marcos, Chip arrangement in the dry cutting of aluminium alloys, J. Achiev. Mat. & Manuf. Eng., Vol. 16, No. 1-2, May-June, pp.164-170, (2006).

Google Scholar

[9] S.C. Black, V. Chiles, A.J. Lissaman and S.J. Martin, Principle of engineering manufacturing , Third Edition, Butterworth Heinemann, Elsevier Science, Oxford, (2002).

Google Scholar

[10] S.M. Scheiner, R.J. Mitchell and H.S. Callahan, Using path analysis to measure natural selection, J. Evolu. Biol., Vol. 13, No. 3, pp.423-433, (2000).

DOI: 10.1046/j.1420-9101.2000.00191.x

Google Scholar

[11] The R project for statistical computing, Available source: http: /www. r-project. org, November, (2010).

Google Scholar

[12] M. Aluaddin, I.A. Choudhury, M.A. El Baradie and M.S.J. Hasmi, Plastics and their machining: a review, " J. Mat. Proc. Tech., Vol. 54, pp.40-46, 1995. cited by F. Mata, E. Beamud, I. Hanafi, A. Khamilichi, A. Jabbouri and M. Bezzazi, " Multiple regression prediction model for cutting forces in turning carbon-reinforeced PEEK CF30, J. Adv. Mat. Sci. & Eng., Vol. 2007, pp.1-7, (2007).

DOI: 10.1155/2010/824098

Google Scholar