Back Chip Temperature in Environmentally Conscious Turning with Conventional and Internally Cooled Cutting Tools
DOI:
https://doi.org/10.15282/jmes.4.2013.1.0034Keywords:
Internally cooled cutting tool, environmentally conscious machining, back chip temperatureAbstract
Central to machining processes is the interaction between the tool insert and the chip of material removed from the blank. Chip-insert interaction occurs when the chip slides on the rake face of the insert. Heat is generated by the friction inherent to this sliding process. The temperature in the cutting zone of both the insert and the chip rises, usually facilitating adhesion, diffusion, and more complex chemical and physical phenomena between the insert and the chip. These effects accelerate the insert wear, ultimately undermining the tool life. Thus, a number of methods have been developed to control heat generation. Most typically, metal working fluids are conveyed onto the rake face in the cutting zone. However, this solution may be not ideal from the point of view of cost, the environment, and contamination of the part, which may be unacceptable, for example, in healthcare and optical applications. In this study, microfluidic structures internal to the insert are examined as a means of controlling the heat generation.Conventional and internallycooled tools were compared in dry turning of AA6082-T6 aluminum alloy in two 3 3 factorial experiments of different machining conditions. Statistical analyses support the conclusion that chip temperature depends only on the depth of cut,and not on the feed rate or cutting speed. They also show that the benefit of cooling the insert internally increases as the depth of cut increases. Therefore, internallycooled tools can be particularly advantageous in roughing operations.
References
Bernstein, D. I., Lummus, Z. L., & Santilli, G. (1995). Machine operator's lung a hypersensitivity pneumonitis disorder associated with exposure to metalworking fluid aerosols. CHEST Journal, 108(3), 636-641.
Byrne, G., Dornfeld, D., & Denkena, B. (2003). Advancing cutting technology. CIRP Annals-Manufacturing Technology, 52(2), 483-507.
Crawley, M. J. (2012).The R book. NY: John Wiley.
Davies, M. A., Ueda, T., & M'Saoubi, R. (2007). On the measurement of temperature in material removal processes. CIRP Annals - Manufacturing Technology, 56(2), 581-604.
Dinc, C., Lazoglu, I., & Serpenguzel, A. (2008). Analysis of thermal fields in orthogonal machining with infrared imaging. Journal of Materials Processing Technology, 198(1), 147-154.
Faraway, J. J. (2005). Extending the linear model with R (Texts in Statistical Science).
Jeffries, N. P. (1972). Internal cooling of metal-cutting tools. Industrial Lubrication and Tribology, 24(4), 179-181.
Jeffries, N., & Zerkle, R. (1970). Thermal analysis of an internally-cooled metal-cutting tool. International Journal of Machine Tool Design and Research, 10(3), 381-399.
Kadirgama, K., Rahman, M. M., Ismail, A. R., & Bakar, R. A. (2011). Finite element analysis of HASTELLOY C-22HS in end milling. Journal of Mechanical Engineering and Sciences, 1, 37-46.
Khan, M. A. R., Rahman, M. M., Kadirgama, K., Maleque, M. A., & Ishak, M. (2011). Prediction of surface roughness of Ti-6Al-4V in electrical discharge machining: a regression model. Journal of Mechanical Engineering and Sciences, 1, 16-24.
Klocke, F., & Eisenblätter, G. (1997). Dry cutting. CIRP Annals-Manufacturing Technology, 46(2), 519-526.
Lazoglu, I., & Altintas, Y. (2002). Prediction of tool and chip temperature in continuous and interrupted machining. International Journal of Machine Tools and Manufacture, 42(9), 1011-1022.
Longbottom, J., & Lanham, J. (2005). Cutting temperature measurement while machining–a review. Aircraft Engineering and Aerospace Technology, 77(2), 122-130.
McGill, R., Tukey, J. W., & Larsen, W. A. (1978). Variations of box plots. The American Statistician, 32(1), 12-16.
Najiha, M. S., Rahman, M. M., Yusoff, A. R., & Kadirgama, K. (2012a). Investigation of flow behavior in minimum quantity lubrication nozzle for end milling processes. International Journal of Automotive and Mechanical Engineering, 6, 768-776.
Najiha, M. S., Rahman, M. M., Kamal, M., Yusoff, A. R., & Kadirgama, K. (2012b). Minimum quantity lubricant flow analysis in end milling processes: a computational fluid dynamics approach. Journal of Mechanical Engineering and Sciences, 3, 340-345.
O’Sullivan, D., & Cotterell, M. (2001). Temperature measurement in single point turning. Journal of Materials Processing Technology, 118(1–3), 301-308.
Pinheiro, J. C., & Bates, D. M. (2000). Mixed effects models in S and S-PLUS. New York: Springer Verlag.
Pinheiro, J., Bates, D., & DebRoy, S. (2007). Linear and nonlinear mixed effects models. R Package Version, 3: 57.
Quan, Y., He, Z., & Dou, Y. (2008). Cutting heat dissipation in high-speed machining of carbon steel based on the calorimetric method. Frontiers of Mechanical Engineering in China, 3(2), 175-179.
RDevelopment, C. (2011). TEAM. 2008. R: A Language and environment for statistical computing. R foundation for statistical computing. Vienna, Austria.
Rozzi, J. C., Sanders, J. K., & Weibo, C. (2011). The experimental and theoretical evaluation of an indirect cooling system for machining. Journal of Heat Transfer, 133(3), 031006, 1-10.
Sanchez, L. E., Scalon, V. L., & Abreu, G. G. (2011). Cleaner machining through a toolholder with internal cooling. Proceedings of third international workshop on advances in cleaner production, São Paulo, Brazil, May, Anonymous pp. 18-20.
Singh, R., & Singh, B. (2011). Comparison of cryo-treatment effect on machining characteristics of titanium in electric discharge machining. International Journal fo Automotive and Mechanical Engineering, 3, 239-248.
Spitler, D., Lantrip, J., & Nee, J. G. (2003). Fundamentals of tool design. Society of Manufacturing Engineers, Canada.
Sreejith, P., & Ngoi, B. (2000). Dry machining: machining of the future. Journal of Materials Processing Technology, 101(1), 287-291.
Taylor, F. W. (1907). On the art of cutting metals. ASME Transactions, 28, 31-350.
Venables, W. N., Ripley, B. D., & Venables, W. (1994). Modern applied statistics with S-PLUS. New York: Springer-Verlag.
Weinert, K., Inasaki, I. & Sutherland, J. (2004). Dry machining and minimum quantity lubrication. CIRP Annals-Manufacturing Technology, 53(2), 511-537.
Zhao, H., Barber, G. & Zou, Q. 2006. Effect of internal cooling on tool-chip interface temperature in orthogonal cutting. Tribology Transactions, 49(2), 125-134.
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