An experimental investigation of the influence of cutting parameters on workpiece internal temperature during Al2024-T3 milling

  • Alexandre Il
  • Jean-François Chatelain
  • Jean-François Lalonde
  • Marek Balazinski
  • Xavier Rimpault


In the aerospace industry which widely uses aluminum alloys to manufacture aircraft structures, end-milling is a common process to produce the desired components. However, in order to adjust this mechanical process, several complex factors occurring during the cutting stage have to be considered, making the process development difficult. In order to meet efficiency and robustness end, the tool-part interface temperature level is an important issue, in particular for aluminum thin plate milling. One of the issues is caused by the heat generated during the machining in the aluminum part leading to possible residual stresses once the heat is dissipated. This study aims at investigating the influence of cutting parameters on the heat generated during machining and provides guidelines for machining thin plates. A measurement device associated with embedded thermocouples at stationary positions along the tool path in subsurface has been used. Data collected throughout the milling experiments indicated that the workpiece internal-temperatures values rise with the feed decrease. The optimum milling condition was observed for low radial tool immersion, low depth of cut, high cutting speed, and a feed per tooth equal to at least 0.005″ (0.127 mm).


Milling Aluminum Cutting temperature Thermocouple Thin plate 


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  1. 1.
    Fu CL, Wang CK, Li TG, Wang WS (2011) Simulation of end milling for weak-rigidity structural parts of aluminium alloy in aviation. Adv Manuf Syst 201-203:332–336Google Scholar
  2. 2.
    Zhu L, Peng S-S, Yin C-L, Jen T-C, Cheng X, Yen Y-H (2014) Cutting temperature, tool wear, and tool life in heat-pipe-assisted end-milling operations. Int J Adv Manuf Technol 72(5–8):995–1007. CrossRefGoogle Scholar
  3. 3.
    Braghini Junior A, Diniz AE, Filho FT (2008) Tool wear and tool life in end milling of 15–5 PH stainless steel under different cooling and lubrication conditions. Int J Adv Manuf Technol 43(7–8):756–764. Google Scholar
  4. 4.
    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. CrossRefGoogle Scholar
  5. 5.
    Saglam H, Yaldiz S, Unsacar F (2007) The effect of tool geometry and cutting speed on main cutting force and tool tip temperature, vol 28.
  6. 6.
    Sun Y, Sun J, Li J, Xiong Q (2013) An experimental investigation of the influence of cutting parameters on cutting temperature in milling Ti6Al4V by applying semi-artificial thermocouple. Int J Adv Manuf Technol 70(5–8):765–773. Google Scholar
  7. 7.
    Tampu NC, Radu MC, Chirita B (2013) Influence of the temperature and mechanical stresses generated by milling process in machined part surfaces on their accuracy. Appl Mech Mater 371:59–63. CrossRefGoogle Scholar
  8. 8.
    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. CrossRefGoogle Scholar
  9. 9.
    Davoodi B, Hosseinzadeh H (2012) A new method for heat measurement during high speed machining. Measurement 45(8):2135–2140. CrossRefGoogle Scholar
  10. 10.
    Ueda T, Hosokawa A, Oda K, Yamada K (2001) Temperature on flank face of cutting tool in high speed milling. CIRP Ann 50(1):37–40. CrossRefGoogle Scholar
  11. 11.
    Liu ZQ, Zhang F, Jiang FL (2012) Investigations of transient machined workpiece surface temperature in high speed peripheral milling using inverse method. Mater Sci Forum 723:14–19. CrossRefGoogle Scholar
  12. 12.
    Bourouga B, Guillot E, Garnier B, Dubar L (2010) Experimental study of thermal sliding contact parameters at interface seat of large strains. Int J Mater Form 3(S1):821–824. CrossRefGoogle Scholar
  13. 13.
    Ning F, Ming C, Peiquan G (2009) Simulation of cutting tool geometry parameters impact on residual stress. In: IEEE (ed) Control and decision conference, China, IEEE, pp 5472–5475.
  14. 14.
    Bergmann E, Hans Jorg M, Gras R (2003) Analyse et technologie des surfaces. Traité des matériaux (TM), vol 4Google Scholar
  15. 15.
    Abukhshim NA, Mativenga PT, Sheikh MA (2005) Investigation of heat partition in high speed turning of high strength alloy steel. Int J Mach Tools Manuf 45(15):1687–1695. CrossRefGoogle Scholar
  16. 16.
    Zhang JZ, Chen JC, Kirby ED (2007) Surface roughness optimization in an end-milling operation using the Taguchi design method. J Mater Process Technol 184(1–3):233–239. CrossRefGoogle Scholar
  17. 17.
    Chatelain J-F, Lalonde J-F, Tahan AS (2012) Effect of residual stresses embedded within workpieces on the distortion of parts after machining. Int J Mech 6:43–51Google Scholar
  18. 18.
    Tang ZT, Liu ZQ, Wan Y, Ai X (2008) Study on residual stresses in milling aluminium alloy 7050-T7451. In: Yan X-T, Jiang C, Eynard B (eds) Advanced design and manufacture to gain a competitive edge: new manufacturing techniques and their role in improving Enterprise performance. Springer London, London, pp 169–178. CrossRefGoogle Scholar
  19. 19.
    Tang ZT, Liu ZQ, Pan YZ, Wan Y, Ai X (2009) The influence of tool flank wear on residual stresses induced by milling aluminum alloy. J Mater Process Technol 209(9):4502–4508. CrossRefGoogle Scholar
  20. 20.
    Li BZ, Jiang XH, Jing HJ, Zuo XY (2011) High-speed milling characteristics and the residual stresses control methods analysis of thin-walled parts. Adv Mater Res 223:456–463. CrossRefGoogle Scholar
  21. 21.
    Jiang X, Li B, Yang J, Zuo XY (2013) Effects of tool diameters on the residual stress and distortion induced by milling of thin-walled part. Int J Adv Manuf Technol 68(1–4):175–186. CrossRefGoogle Scholar
  22. 22.
    Jiang X, Li B, Yang J, Zuo X, Li K (2012) An approach for analyzing and controlling residual stress generation during high-speed circular milling. Int J Adv Manuf Technol 66(9–12):1439–1448. Google Scholar
  23. 23.
    Tsao CC (2007) Grey–Taguchi method to optimize the milling parameters of aluminum alloy. Int J Adv Manuf Technol 40(1–2):41–48. Google Scholar

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

Authors and Affiliations

  • Alexandre Il
    • 1
    • 2
  • Jean-François Chatelain
    • 1
  • Jean-François Lalonde
    • 2
  • Marek Balazinski
    • 3
  • Xavier Rimpault
    • 1
    • 3
  1. 1.Department of Mechanical EngineeringÉcole de technologie supérieure (ÉTS)MontréalCanada
  2. 2.Bombardier AerospaceSt-LaurentCanada
  3. 3.Department of Mechanical EngineeringPolytechnique MontréalMontréalCanada

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