Statistical Research on the Effects of Cutting Edge Preparation on Face Milling of Austenitic Stainless Steel Using FEM

Wei Wei Ming; Ming Chen

doi:10.4028/www.scientific.net/KEM.407-408.516

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HomeKey Engineering MaterialsKey Engineering Materials Vols. 407-408Statistical Research on the Effects of Cutting...

Statistical Research on the Effects of Cutting Edge Preparation on Face Milling of Austenitic Stainless Steel Using FEM

Abstract:

Austenitic stainless steels are extensively used in the areas with high corrosion. The high heat resistance and strength make them difficult-to-cut materials. The tool life in machining austenitic stainless steels is restricted by the high cutting force and temperature which induce the tool wear and edge chipped. To achieve tool edge strength and reduce the edge-related problems, tool edge preparation is applied by introducing the chamfered and honed edges. In the current paper, the effects of the cutting edge preparation in face milling of austenitic stainless steels were studied using statistical method. The output cutting parameters as cutting force, temperature were obtained by finite element analysis. The purpose for this research is to give guidance to the tool edge preparation for machining stainless steels.

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Periodical:

Key Engineering Materials (Volumes 407-408)

Pages:

516-520

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.407-408.516

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Online since:

February 2009

Authors:

Wei Wei Ming, Ming Chen

Keywords:

Analysis of Variance (ANOVA), Cutting Edge Preparation, Finite Element Model (FEM), Stainless Steel (SS), Statistical Research

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References

[1] S. R. Karnik, V. Gaitonde, and J. Paulo Davim: Proc. IMechE., Vol. 221 Part B (2007), pp.1695-1704.

Google Scholar

[2] G. Byrne, D. Dornfeld and B. Denkena: Annals of the CIRP, Vol. 52 (2003), pp.483-507.

DOI: 10.1016/s0007-8506(07)60200-5

Google Scholar

[3] M. E. Merchant: Transactions of the ASME, Vol. 66 (1944), pp.168-175.

Google Scholar

[4] P. L. B. Oxley: Mechanics of Machining, An Analytical Approach to Assessing Machinability (Ellis Horwood, Chichester, UK, 1989).

Google Scholar

[5] J. Manjunathaiah, W. J. Endres: Transactions of the ASME, Vol. 122 (2000), pp.384-390.

Google Scholar

[6] H. Ren, Y. Altintas: Transactions of the ASME, Vol. 122 (2000), pp.650-659.

Google Scholar

[7] M. R. Movahhedy, Y. Altintas, and M. S. Gadala: Transactions of the ASME, Vol. 124 (2002), pp.178-188.

Google Scholar

[8] Y. Karpat, T. Özel: Journal of Manufacturing Science and Engineering, Vol. 130 (2008), pp.1-15.

Google Scholar

[9] I. A. Choudhury, N. L. See, and Mohd Zukhairi: J. Mater. Process Technol., Vol. 170 (2005), pp.115-120.

Google Scholar

[10] D. C. Montgomery: Design and Analysis of Experiments (John Wiley & Sons, Inc., New York, 2005). Fig. 5 Max. process temperature vs. chamfer width at various hone radius Fig. 4 Cutting force vs. chamfer width at hone radius various.

Google Scholar