Study of Cutting Parameters Effects in MQL-Employed Hard-Milling Process for AISI H13 for Tool Life

Abstract:

In this research work, the effects of three parameters, namely, cutting speed, feed and axial depth of cut were studied upon tool life. The milling was performed under environment of minimum quantity of lubrication (MQL), using coated carbide inserts. For tool life, cutting speed was found as the most influential parameter followed by the axial depth of cut and feed rate. High values of cutting speed proved unfavorable for tool life. The major tool damage mechanisms detected were notch wear, diffusion, adhesion, and chipping. The severity of chipping was relatively smaller as compared to that of adhesion and of notch wear because of effective application of MQL employed. The encouraging results include significant increase in tool life by MQL mainly through reduction in the cutting zone temperature and favorable change in the chip-tool and work-tool interaction.

• Periodical: Applied Mechanics and Materials (Volume 393)
• Pages: 240-245
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.393.240
• Online since: September 2013
• Authors: Nitin G. Phafat, Ravindra Deshmukh, Sudhir D. Deshmukh
• Keywords: Axial Depth of Cut, Cutting Speed, Feed, MQL, Tool Life

References

[1] M.K. Tsai, B.Y. Lee, S.F. Yu, A predicted modeling of tool life of high-speed milling for SKD61 tool steel, Int J Adv Manufacturing Technology 26 (2007) 711–717.

DOI: 10.1007/s00170-003-1596-z

[2] Koshy P, Dewes RC, Aspinwall DK, High speed end milling of hardened AISI D2 tool steel (similar to 58 HRC), J Mater Process Technology 127(2002) 266–273.

DOI: 10.1016/s0924-0136(02)00155-3

[3] M.A. Lajis, A.N. Mustafizul Karim, A.K.M. Nurul Amin, A.M.K. Hafiz, L.G. Turnad, Prediction of Tool Life in End Milling of Hardened Steel AISI D2, European Journal of Scientific Research ISSN 1450-216X Vol. 21 No. 4(2008) 592-602.

DOI: 10.4028/www.scientific.net/amr.83-86.56

[4] Palanisamy, P, Rajendran, I, Shanmugasundaram, S, Prediction of tool wear using regression and ANN models in end-milling operation, International Journal of Advanced Manufacturing Technology, Springer-Verlag London, 10(2007)1007-1014.

DOI: 10.1007/s00170-007-0948-5

[5] Y.S. Liao, H.M. Lin, Mechanism of minimum quantity lubrication in high-speed milling of hardened steel, International Journal of Machine Tools & Manufacture 47 (2007) 1660–1666.

DOI: 10.1016/j.ijmachtools.2007.01.007

[6] Khan M.M.A., Dhar N.R., Performance evaluation of minimum quantity lubrication by vegetable oil in terms of cutting force, cutting zone temperature, tool wear, job dimension and surface finish in turning AISI-1060 steel, Journal of Zhejiang University science aissn 1009-3095 (2006).

DOI: 10.1631/jzus.2006.a1790

[7] Astakhov VP, Tribology of Metal Cutting, first ed., Elsevier, London, (2006).

[8] Nitin G. Phafat, Ravindra R. Deshmukh and Dr. Sudhir D. Deshmukh, Optimization Of Minimum Quantity Lubrication Parameters For End Milling And Turning Operation By Genetic Algorithm, 3rd national conference on Recent Advances in Manufacturing, 27-29 June (2012).

[9] Deshmukh S.D. and Basu S.K., Significant of solid lubricants in metal cutting, 22nd AIMTDR conference at Indian Institute of Technology Roorkee, India, (2005).

[10] A. K. Nandy and S. Paul, Effect of coolant pressure, nozzle diameter, impingement angle and spot distance in high pressure cooling with neat oil in turning ti-6al-4v, Machining Science and Technology Taylor & Francis (November 2011), 445-473.

DOI: 10.1080/10910340802518603

[11] Deshmukh S.D. and Basu S.K., Cooling effect in fine machining using minimum quantity lubrication, First national conference on advances in manufacturing technology (AMTEG-2005).

[12] Douglas C. Montgomery, Design and analysis of experiments. 7Th Edition, Wiley, India (2010).