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The development of a hybrid cutting model for workpiece temperature distribution via advection heat partition approach

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Abstract

This paper presents a novel hybrid cutting model for the prediction of workpiece temperature distribution during the dry milling process of compacted graphite iron (CGI). The hybrid model consists of an analytical force model based on a mechanistic approach and finite element analysis (FEA) based on the thermal model. The heat generated during the milling process transferred to the workpiece is computed via the advection heat partition model. The workpiece temperature distribution obtained through the heat loads, using as boundary conditions in the FEA, was calculated by means of cutting forces. The developed force and thermal models have been experimentally validated, and good agreement between the measured and calculated results has been observed. The energy and active work calculations show that by doubling the feed during CGI milling, an energy saving of about 10% is achieved despite almost doubling the cutting forces.

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References

  1. Robison ST, Dore T (2021) Total casting tons dip in 2019. Modern Casting Magazine. February 2023, https://www.thewfo.com/contentfiles/downloads/51.pdf.

  2. Mocellin F, Melleras E, Guesser WL, Boehs L (2004) Study of the machinability of compacted graphite iron for drilling process. J Braz Soc Mech Sci Eng 26(1). https://doi.org/10.1590/S1678-58782004000100004

  3. Ikeya K, Takazawa M, Yamada T, Park S, Tagishi R (2015) Thermal efficiency enhancement of a gasoline engine. SAE Int J Engines 8(4):1579–1586. https://doi.org/10.4271/2015-01-1263

    Article  Google Scholar 

  4. Marquard R, Sorger H (1997) Modern engine design. CGI Design and Machining Workshop, Sintercast–PTW, Darmstadt, Bad Homburg, Germany

  5. Dawson S (1995) Compacted graphite iron: new opportunities for engine design. SAE Technical Paper, p 952226. https://doi.org/10.4271/952226

    Book  Google Scholar 

  6. Sahm A, Abele E, Schulz H (2002) Machining of compacted graphite iron (CGI). Materwiss Werkstofftech 33(9):501–506. https://doi.org/10.1002/1521-4052(200209)33:9<501::AID-MAWE501>3.0.CO;2-W

    Article  Google Scholar 

  7. de Sousa JAG, Sales WF, Machado AR (2018) A review on the machining of cast irons. Int J Adv Manuf Technol 94:4073–4092. https://doi.org/10.1007/s00170-017-1140-1

    Article  Google Scholar 

  8. Palmai Z (1987) Cutting temperature in intermittent cutting. Int J Mach Tools Manuf 27(2):261–274. https://doi.org/10.1016/S0890-6955(87)80055-X

    Article  Google Scholar 

  9. Lin J (1995) Inverse estimation of the tool-work interface temperature in end milling. Int J Mach Tools Manuf 35(5):751–760. https://doi.org/10.1016/0890-6955(95)93043-6

    Article  Google Scholar 

  10. Shen G (2003) Modeling the effect of cutting fluids in peripheral milling. Michigan Technological University. Available from https://www.proquest.com/dissertations-theses/modeling-effect-cutting-fluids-peripheral-milling/docview/305330548/se-2

  11. Richardson DJ, Keavey MA, Dailami F (2006) Modelling of cutting induced workpiece temperatures for dry milling. Int J Mach Tools Manuf 46(10):1139–1145. https://doi.org/10.1016/j.ijmachtools.2005.08.008

    Article  Google Scholar 

  12. Pittalà GM, Monno M (2011) A new approach to the prediction of temperature of the workpiece of face milling operations of Ti-6Al-4V. Appl Therm Eng 31(2–3):173–180. https://doi.org/10.1016/j.applthermaleng.2010.08.027

    Article  Google Scholar 

  13. Islam C, Lazoglu I, Altintas Y (2016) A three-dimensional transient thermal model for machining. J Manuf Sci Eng 138(2):021003. https://doi.org/10.1115/1.4030305

    Article  Google Scholar 

  14. Karaguzel U, Bakkal M, Budak E (2016) Modeling and measurement of cutting temperatures in milling. Procedia CIRP 46:173–176. https://doi.org/10.1016/j.procir.2016.03.182

    Article  Google Scholar 

  15. Wang SQ, Li JG, He CL, Xie ZY (2019) A 3D analytical model for residual stress in flank milling process. Int J Adv Manuf Technol 104:3545–3565. https://doi.org/10.1007/s00170-019-04046-w

    Article  Google Scholar 

  16. Zhou R (2020) Analytical model of workpiece surface temperature prediction in 4-axis milling process. Int J Adv Manuf Technol 111:2155–2162. https://doi.org/10.1007/s00170-020-06255-0

    Article  Google Scholar 

  17. Wang KK, Wu SM, Iwata K (1968) Temperature responses and experimental errors for multitooth milling cutters. ASME J Eng Ind 90(2):353–359. https://doi.org/10.1115/1.3604640

    Article  Google Scholar 

  18. Hou J, Zhao N, Zhu S (2011) Influence of cutting speed on flank temperature during face milling of magnesium alloy. Mater Manuf Process 26(8):1059–1063. https://doi.org/10.1080/10426914.2010.536927

    Article  Google Scholar 

  19. Xin H, Shi Y, Ning L, Zhao T (2016) Residual stress and affected layer in disc milling of titanium alloy. Mater Manuf Process 31(13):1645–1653. https://doi.org/10.1080/10426914.2015.1090583

    Article  Google Scholar 

  20. Ueda T, Hosokawa A, Oda K, Yamada K (2001) Temperature on flank face of cutting tool in high speed milling. CIRP Annals 50(1):37–40. https://doi.org/10.1016/S0007-8506(07)62065-4

    Article  Google Scholar 

  21. Kerrigan K, Thil J, Hewison R, O’Donnell GE (2012) An integrated telemetric thermocouple sensor for process monitoring of CFRP milling operations. Procedia CIRP 1:449–454. https://doi.org/10.1016/j.procir.2012.04.080

    Article  Google Scholar 

  22. Pereira Guimaraes BM, da Silva Fernandes CM, Amaral de Figueiredo D, Correia Pereira da Silva FS, Macedo Miranda MG (2022) Cutting temperature measurement and prediction in machining processes: comprehensive review and future perspectives. Int J Adv Manuf Technol 120:2849–2878. https://doi.org/10.1007/s00170-022-08957-z

    Article  Google Scholar 

  23. Berglund A (2011) Criteria for machinability evaluation of compacted graphite iron materials. KTH Royal Institute of Technology http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-48430

    Google Scholar 

  24. Ozcelik B, Bagci E (2006) Experimental and numerical studies on the determination of twist drill temperature in dry drilling: a new approach. Mater Des 27(10):920–927. https://doi.org/10.1016/j.matdes.2005.03.008

    Article  Google Scholar 

  25. Kuzu AT, Berenji KR, Bakkal M (2016) Thermal and force modeling of CGI drilling. Int J Adv Manuf Technol 82:1649–1662. https://doi.org/10.1007/s00170-015-7466-7

    Article  Google Scholar 

  26. Altintas Y (2012) Manufacturing automation: metal cutting mechanics, machine tool vibrations, and CNC design, 2nd edn. Cambridge University Press. https://doi.org/10.1017/CBO9780511843723

    Book  Google Scholar 

  27. Budak E, Altıntaş Y, Armarego EJA (1996) Prediction of milling force coefficients from orthogonal cutting data. J Manuf Sci Eng 118(2):216–224. https://doi.org/10.1115/1.2831014

    Article  Google Scholar 

  28. Bono M, Ni J (2002) A model for predicting the heat flow into the workpiece in dry drilling. J Manuf Sci Eng 124(4):773–777. https://doi.org/10.1115/1.1511176

    Article  Google Scholar 

  29. Shaw MC, Cook NH, Smith PA (1952) The mechanics of three-dimensional cutting operations. Trans ASME 74(6):1055–1064. https://doi.org/10.1115/1.4016022

    Article  Google Scholar 

  30. Bono M, Ni J (2001) The effects of thermal distortions on the diameter and cylindricity of dry drilled holes. Int J Mach Tools Manuf 41(15):2261–2270. https://doi.org/10.1016/S0890-6955(01)00047-5

    Article  Google Scholar 

  31. Stabler GV (1964) The chip flow law and its consequences. Adv Mach Tool Des Res 5:243–251

    Google Scholar 

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Acknowledgements

We are thankful for the support received from The Scientific and Technological Research Council of Türkiye.

Authors’ contribution

All three authors contributed to the study equally and read and approved the final manuscript.

Funding

This work was supported by the TÜBİTAK 1002-Short Term R&D Funding Program (121M985).

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Correspondence to Mehmet Emre Kara.

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Kara, M.E., Kuzu, A.T. & Bakkal, M. The development of a hybrid cutting model for workpiece temperature distribution via advection heat partition approach. Int J Adv Manuf Technol 126, 4283–4295 (2023). https://doi.org/10.1007/s00170-023-11393-2

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