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Temperature prediction in Inconel 718 milling with microstructure evolution

  • Yixuan Feng
  • Zhipeng Pan
  • Steven Y. Liang
ORIGINAL ARTICLE

Abstract

For this study, a new temperature prediction analytical model for Inconel 718 milling is presented with the consideration of microstructure evolution while accounting for the effects of dynamic recrystallization. The milling condition is transferred to equivalent orthogonal cutting condition at each rotation angle. The previous constant yield stress term in Johnson-Cook constitutive equation is replaced by a grain size-dependent term. The grain size is calculated according to dynamic recrystallization, a strain and temperature induced recrystallization process, through the recrystallized volume fraction by Johnson-Mehl-Avrami-Kolmogorov model. The temperature rise is due to the flow stress in shear zone considered as primary heat source and the secondary rubbing heat source between the tool tip and machined surface. The heat source density is calculated based on the cutting forces predicted from flow stress. The predicted temperature field is validated by numerical model in six cases and experimental measurements in ten cases from two papers, and improvements are observed through the comparison between proposed and conventional models.

Keywords

Inconel 718 Milling Temperature Microstructure 

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References

  1. 1.
    Ng E-G, Lee DW, Sharman ARC, Dewes RC, Aspinwall DK, Vigneau J (2000) High speed ball nose end milling of Inconel718. CIRP Ann Manuf Technol 49(1):41–46.  https://doi.org/10.1016/S0007-8506(07)62892-3 CrossRefGoogle Scholar
  2. 2.
    Ӧzel T, Altan T (2000) Process simulation using finite element method—prediction of cutting forces, tool stresses and temperatures in high-speed flat end milling. Int J Mach Tool Manu 40(5):713–738.  https://doi.org/10.1016/S0890-6955(99)00080-2 CrossRefGoogle Scholar
  3. 3.
    Abukhshim NA, Mativenga PT, Sheikh MA (2006) Heat generation and temperature prediction in metal cutting: a review and implications for high speed machining. Int J Mach Tools Manuf 46(7–8):782–800.  https://doi.org/10.1016/j.ijmachtools.2005.07.024 CrossRefGoogle Scholar
  4. 4.
    Shi B, Attia H, Vargas R, Tavakoli S (2008) Numerical and experimental investigation of laser-assisted machining of Inconel 718. Mach Sci Technol 12(4):498–513.  https://doi.org/10.1080/10910340802523314 CrossRefGoogle Scholar
  5. 5.
    Venkatesan K, Ramanujam R, Kuppan P (2014) Analysis of cutting forces and temperature in laser assisted machining of Inconel 718 using Taguchi method. Procedia Eng 97:1637–1646.  https://doi.org/10.1016/j.proeng.2014.12.314 CrossRefGoogle Scholar
  6. 6.
    Le Coz G, Dudzinski D (2014) Temperature variation in the workpiece and in the cutting tool when dry milling Inconel 718. Int J Adv Manuf Technol 74(5-8):1133–1139.  https://doi.org/10.1007/s00170-014-6006-1 CrossRefGoogle Scholar
  7. 7.
    Grzesik W et al (2015) Influence of cutting conditions on temperature distribution in face milling of Inconel 718 nickel-chromium alloy. J Mach Eng 15(2):5–16Google Scholar
  8. 8.
    Huang D et al (2001) Computer simulation of microstructure evolution during hot forging of Waspaloy and nickel alloy 718Google Scholar
  9. 9.
    Robert P, Guest ST (2005) The dynamic and metadynamic recrystallisation of in 718. p. 373–383Google Scholar
  10. 10.
    Wang Y et al (2007) Investigation on dynamic recrystallization behavior in hot deformed Superalloy Inconel 718. Mater Sci Forum 546-549:1297–1300.  https://doi.org/10.4028/www.scientific.net/MSF.546-549.1297 CrossRefGoogle Scholar
  11. 11.
    Azarbarmas M, Aghaie-Khafri M, Cabrera JM, Calvo J (2016) Dynamic recrystallization mechanisms and twining evolution during hot deformation of Inconel 718. Mater Sci Eng A 678:137–152.  https://doi.org/10.1016/j.msea.2016.09.100 CrossRefGoogle Scholar
  12. 12.
    Pan Z, Feng Y, Liang SY (2017) Material microstructure affected machining: a review. Manuf Rev 4:5.  https://doi.org/10.1051/mfreview/2017004 Google Scholar
  13. 13.
    Pan Z et al (2017) Microstructure-sensitive flow stress modeling for force prediction in laser assisted milling of Inconel 718. Manuf Rev 4:6.  https://doi.org/10.1051/mfreview/2017005 Google Scholar
  14. 14.
    Pan Z et al (2017) Force modeling of Inconel 718 laser-assisted end milling under recrystallization effects. Int J Adv Manuf Technol 92(5-8):2965–2974.  https://doi.org/10.1007/s00170-017-0379-x CrossRefGoogle Scholar
  15. 15.
    Jafarian F, Imaz Ciaran M, Umbrello D, Arrazola PJ, Filice L, Amirabadi H (2014) Finite element simulation of machining Inconel 718 alloy including microstructure changes. Int J Mech Sci 88:110–121.  https://doi.org/10.1016/j.ijmecsci.2014.08.007 CrossRefGoogle Scholar
  16. 16.
    Reyes LA, Páramo P, Salas Zamarripa A, de la Garza M, Guerrero-Mata MP (2016) Influence of processing parameters on grain size evolution of a forged superalloy. J Mater Eng Perform 25(1):179–187.  https://doi.org/10.1007/s11665-015-1828-z CrossRefGoogle Scholar
  17. 17.
    Loyda A, Hernández-Muñoz GM, Reyes LA, Zambrano-Robledo P (2016) Microstructure modeling of a Ni-Fe-based superalloy during the rotary forging process. J Mater Eng Perform 25(6):2128–2137.  https://doi.org/10.1007/s11665-016-2104-6 CrossRefGoogle Scholar
  18. 18.
    Arrazola PJ, Kortabarria A, Madariaga A, Esnaola JA, Fernandez E, Cappellini C, Ulutan D, Özel T (2014) On the machining induced residual stresses in IN718 nickel-based alloy: experiments and predictions with finite element simulation. Simul Model Pract Theory 41:87–103.  https://doi.org/10.1016/j.simpat.2013.11.009 CrossRefGoogle Scholar

Copyright information

© Springer-Verlag London Ltd., part of Springer Nature 2018

Authors and Affiliations

  1. 1.Woodruff School of Mechanical EngineeringGeorgia Institute of TechnologyAtlantaUSA

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