Skip to main content
SpringerLink
Log in

Analytical prediction of temperature in laser-assisted milling with laser preheating and machining effects

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

Abstract

An analytical predictive model for temperature in laser-assisted milling considering both laser preheating temperature and machining induced temperature rise is proposed. The preheating temperature at top surface is predicted first by considering the heat generation from laser and convection. The heat generation rate is described by Gaussian equation. Within the material, heat conduction is considered with isothermal boundary conditions at side and bottom surfaces. The machining temperature is considered by transferring the milling configuration to orthogonal cutting at each instance. The shearing heat source and secondary rubbing heat source are included for machining temperature prediction. The heat source is calculated from the cutting or plowing forces, and a mirror heat source method is applied to predict temperature rise through integration. The proposed model is validated through experimental measurements on silicon nitride ceramics and Ti-6Al-4V alloy. The proposed predictive model matches the experimental measurements with less than 7.1% difference at laser spot and 5.2% difference in front of the cutting zone with computation time less than 15 s. The model is valuable for providing a fast, credible, and physics-based method for the prediction of temperature in laser-assisted milling of various materials. The overall temperature distribution is accurately calculated by predicting laser preheating temperature and machining induced temperature rise.

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

Access this article

Log in via an institution

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

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Doukas C, Stavropoulos P, Papacharalampopoulos A, Foteinopoulos P, Vasiliadis E, Chryssolouris G (2013) On the estimation of tool-wear for milling operations based on multi-sensorial data. Procedia CIRP 8:415–420

    Article  Google Scholar 

  2. 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

    Article  Google Scholar 

  3. Shen X, Lei S (2010) Experimental study on operating temperature in laser-assisted milling of silicon nitride ceramics. Int J Adv Manuf Technol 52(1–4):143–154

    Google Scholar 

  4. Wiedenmann R, Zaeh MF (2015) Laser-assisted milling—process modeling and experimental validation. CIRP J Manuf Sci Technol 8:70–77

    Article  Google Scholar 

  5. Tian Y, Wu B, Anderson M, Shin YC (2008) Laser-assisted milling of silicon nitride ceramics and Inconel 718. J Manuf Sci Eng 130(3):031013

    Article  Google Scholar 

  6. Bermingham MJ, Sim WM, Kent D, Gardiner S, Dargusch MS (2015) Tool life and wear mechanisms in laser assisted milling Ti–6Al–4V. Wear 322-323:151–163

    Article  Google Scholar 

  7. Kim D-H, Lee C-M (2014) A study of cutting force and preheating-temperature prediction for laser-assisted milling of Inconel 718 and AISI 1045 steel. Int J Heat Mass Transf 71:264–274

    Article  Google Scholar 

  8. Woo W-S, Lee C-M (2015) A study of the machining characteristics of AISI 1045 steel and Inconel 718 with a cylindrical shape in laser-assisted milling. Appl Therm Eng 91:33–42

    Article  Google Scholar 

  9. Garcí et al (2013) Mechanisms involved in the improvement of Inconel 718 machinability by laser assisted machining (LAM). Int J Mach Tools Manuf 74:19–28

    Article  Google Scholar 

  10. Özel 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 40:713–738

    Article  Google Scholar 

  11. 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

    Article  Google Scholar 

  12. Lu X, Wang H, Jia Z, Feng Y, Liang SY (2018) Coupled thermal and mechanical analyses of micro-milling Inconel 718. Proc Inst Mech Eng B J Eng Manuf:095440541877458

  13. Pan Z, Feng Y, Lu YT, Lin YF, Hung TP, Hsu FC, Liang SY (2017) Force modeling of Inconel 718 laser-assisted end milling under recrystallization effects. Int J Adv Manuf Technol 92:2965–2974

    Article  Google Scholar 

  14. Feng Y, Pan Z, Liang SY (2018) Temperature prediction in Inconel 718 milling with microstructure evolution. Int J Adv Manuf Technol 95(9–12):4607–4621

    Article  Google Scholar 

  15. Pan Z, Feng Y, Hung TP, Jiang YC, Hsu FC, Wu LT, Lin CF, Lu YC, Liang SY (2017) Heat affected zone in the laser-assisted milling of Inconel 718. J Manuf Process 30:141–147

    Article  Google Scholar 

  16. Tian Y, Shin YC (2007) Multiscale finite element modeling of silicon nitride ceramics undergoing laser-assisted machining. J Manuf Sci Eng 129(2):287

    Article  Google Scholar 

  17. Sun S, Brandt M, Barnes JE, Dargusch MS (2011) Experimental investigation of cutting forces and tool wear during laser-assisted milling of Ti-6Al-4V alloy. Proc Inst Mech Eng B J Eng Manuf 225(9):1512–1527

    Article  Google Scholar 

  18. Pan Z, et al. (2017) Turning force prediction of AISI 4130 considering dynamic recrystallization. (50725): p. V001T02A040

  19. Oxley PLB (1989) Mechanics of machining, an analytical approach to assessing machinability: ELLIS HORWOOD LIMITED. 242

Download references

Author information

Authors and Affiliations

  1. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA

    Yixuan Feng & Steven Y. Liang

  2. Department of Mechanical Engineering, Cheng Shiu University, Kaohsiung, Taiwan

    Tsung-Pin Hung

  3. Metal Industries Research and Development Centre (MIRDC), Kaohsiung, Taiwan

    Yu-Ting Lu, Yu-Fu Lin, Fu-Chuan Hsu, Chiu-Feng Lin & Ying-Cheng Lu

Authors
  1. Yixuan Feng
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Tsung-Pin Hung
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Yu-Ting Lu
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Yu-Fu Lin
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Fu-Chuan Hsu
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Chiu-Feng Lin
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Ying-Cheng Lu
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Steven Y. Liang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Yixuan Feng.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Feng, Y., Hung, TP., Lu, YT. et al. Analytical prediction of temperature in laser-assisted milling with laser preheating and machining effects. Int J Adv Manuf Technol 100, 3185–3195 (2019). https://doi.org/10.1007/s00170-018-2930-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-018-2930-9

Keywords

Search

Navigation