Skip to main content
Log in

Analytical modeling and experimental validation of workpiece temperature variation in bull-nose end milling

  • ORIGINAL ARTICLE
  • Published:
The International Journal of Advanced Manufacturing Technology Aims and scope Submit manuscript

Abstract

A thermal model that reveals workpiece temperature variation in bull-nose end milling is presented in this paper. Both machining history and cutting tool are discretized into elements to tackle the problems of interrupted cutting process and complex cutter geometry. In the proposed modeling methodology, shear plane heat source is considered as moving instantaneous rectangular heat source. Image heat source is applied to deal with boundary issues of heat conduction in workpiece. The proposed model is validated by machining 300 M steel under dry cutting state. Good agreement between the estimated and measured workpiece temperatures indicates that the analytical model can provide accurate predicted results. The effects of spindle speed and feed rate on workpiece temperature are theoretically and experimentally investigated. Some conclusions of this study are summarized as follows: (1) In the studied range of processing parameters, workpiece temperature increases with increasing spindle speed and decreases with increasing feed rate. (2) Temperature in workpiece under stable milling state decreases exponentially with increasing horizontal distance between inner point and machined surface.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Jaeger JC (1942) Moving sources of heat and the temperature of sliding contacts. J Proc Roy Soc NSW 76:202

    Google Scholar 

  2. Hahn RS (1951) On the temperature developed at the shear plane in the metal cutting process. Proceedings of First U.S. National Congress of Applied Mechanics;661–666

  3. Komanduri R, Hou ZB (2001) Thermal modeling of the metal cutting process—Part III: temperature rise distribution due to the combined effects of shear plane heat source and the tool–chip interface frictional heat source. Int J Mech Sci 43(1):89–107

    Article  MATH  Google Scholar 

  4. Karpat Y, Özel T (2008) Analytical and thermal modeling of high-speed machining with chamfered tools. J Manuf Sci Eng 130(1):011001

    Article  Google Scholar 

  5. Haddag B, Nouari M (2013) Tool wear and heat transfer analyses in dry machining based on multi-steps numerical modelling and experimental validation. Wear 302(1):1158–1170

    Article  Google Scholar 

  6. Li L, Li B, Ehmann KF, Li X (2013) A thermo-mechanical model of dry orthogonal cutting and its experimental validation through embedded micro-scale thin film thermocouple arrays in PCBN tooling. Int J Mach Tools Manuf 70:70–87

    Article  Google Scholar 

  7. Agarwal S, Rao PV (2013) Predictive modeling of force and power based on a new analytical undeformed chip thickness model in ceramic grinding. Int J Mach Tools Manuf 65:68–78

    Article  Google Scholar 

  8. Lefebvre A, Lanzetta F, Lipinski P, Torrance AA (2012) Measurement of grinding temperatures using a foil/workpiece thermocouple. Int J Mach Tools Manuf 58:1–10

    Article  Google Scholar 

  9. Hadad M, Sadeghi B (2012) Thermal analysis of minimum quantity lubrication-MQL grinding process. Int J Mach Tools Manuf 63:1–15

    Article  Google Scholar 

  10. Hadad MJ, Tawakoli T, Sadeghi MH, Sadeghi B (2012) Temperature and energy partition in minimum quantity lubrication-MQL grinding process. Int J Mach Tools Manuf 54:10–17

    Article  Google Scholar 

  11. Mamalis AG, Manolakos DE, Markopoulos A, Kunádrk J, Gyáni K (2003) Thermal modelling of surface grinding using implicit finite element techniques. Int J Adv Manuf Technol 21(12):929–934

    Article  Google Scholar 

  12. Mohamed ALMO, Warkentin A, Bauer R (2012) Variable heat flux in numerical simulation of grinding temperatures. Int J Adv Manuf Technol 63(5–8):549–554

    Article  Google Scholar 

  13. Barrios ANS, Silva JBC, Rodrigues AR, Coelho RT, Junior AB, Matsumoto H (2014) Modeling heat transfer in die milling. Appl Therm Eng 64(1):108–116

    Article  Google Scholar 

  14. Jiang F, Liu Z, Wan Y, Shi Z (2013) Analytical modeling and experimental investigation of tool and workpiece temperatures for interrupted cutting 1045 steel by inverse heat conduction method. J Mater Process Technol 213(6):887–894

    Article  Google Scholar 

  15. Chen G, Ren C, Zhang P, Cui K, Li Y (2013) Measurement and finite element simulation of micro-cutting temperatures of tool tip and workpiece. Int J Mach Tools Manuf 75:16–26

    Article  Google Scholar 

  16. Kuo HY, Meyer K, Lindle R, Ni J (2012) Estimation of milling tool temperature considering coolant and wear. J Manuf Sci Eng 134(3):031002

    Article  Google Scholar 

  17. Sato M, Tamura N, Tanaka H (2011) Temperature variation in the cutting tool in end milling. J Manuf Sci Eng 133(2):021005

    Article  Google Scholar 

  18. 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

    Article  Google Scholar 

  19. Lin S, Peng F, Wen J, Liu Y, Yan R (2013) An investigation of workpiece temperature variation in end milling considering flank rubbing effect. Int J Mach Tools Manuf 73:71–86

    Article  Google Scholar 

  20. Hou Z, He S, Li S (1984) Conduction of heat in solids. Shanghai Scientific and Technical Publishers, Shanghai

    Google Scholar 

  21. Engin S, Altintas Y (2001) Mechanics and dynamics of general milling cutters. Part I: helical end mills. Int J Mach Tools Manuf 41(15):2195–2212

    Article  Google Scholar 

  22. Armarego EJA, Whitfield RC (1985) Computer based modelling of popular machining operations for force and power prediction. CIRP Ann Manuf Technol 34(1):65–69

    Article  Google Scholar 

  23. Moufki A, Dudzinski D, Molinari A, Rausch M (2000) Thermoviscoplastic modelling of oblique cutting: forces and chip flow predictions. Int J Mech Sci 42(6):1205–1232

    Article  MATH  Google Scholar 

  24. Merchant ME (1944) Basic mechanics of the metal cutting process. J Appl Mech 11(A):168–175

    Google Scholar 

  25. Shaw MC (2005) Metal cutting principles. Oxford University Press, New York

    Google Scholar 

  26. Komanduri R, Hou ZB (2000) Thermal modeling of the metal cutting process: Part I—temperature rise distribution due to shear plane heat source. Int J Mech Sci 42(9):1715–1752

    Article  MATH  Google Scholar 

  27. Yan L, Yang W, Jin H, Wang Z (2012) Analytical modelling of microstructure changes in the machining of 304 stainless steel. Int J Adv Manuf Technol 58(1–4):45–55

    Article  Google Scholar 

  28. Wan M, Zhang WH, Tan G, Qin G (2007) New cutting force modeling approach for flat end mill. Chin J Aeronaut 20(3):282–288

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to F. Y. Peng.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Yan, R., Zeng, H.H., Peng, F.Y. et al. Analytical modeling and experimental validation of workpiece temperature variation in bull-nose end milling. Int J Adv Manuf Technol 86, 155–168 (2016). https://doi.org/10.1007/s00170-015-8130-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-015-8130-y

Keywords

Navigation