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An Extended Rosenthal’s Model for Laser Powder-Bed Fusion Additive Manufacturing: Energy Auditing of Thermal Boundary Conditions

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Abstract

Laser Powder-Bed Fusions (LPBF), a class of additive manufacturing (AM), is a promising technique for producing components with complex geometry design. However, parts fabricated by LPBF suffer from residual stresses arising due to substantial temperature gradients inherent to the process. Numerical models are unable to provide a comprehensive thermal history of the built materials efficiently due to the mismatch between the characteristic length scales and infinitesimal time steps needed for complete simulations. In the present work, an extended Rosenthal’s model is presented by considering the effects of various heat dissipation/consumption mechanisms. The modeling results of energy auditing of thermal boundary conditions for stainless steel (SS17-4PH) laser melting indicated that the total energy losses by convection, radiation, and melting are less than 20% among which, radiation is the most dominant part. A comparison of the results obtained by the extended Rosenthal’s equation with finite element numerical predictions and experimental data shows a good agreement. Also, a parametric study has been conducted to identify the influence of laser scanning velocity, beam radius, and power on the overall temperature distributions and melt geometry. The present study can pave the way for the prospective use of this methodology to conduct further investigation such as microstructure analysis and thermo-mechanical modeling which are needed to predict residual stresses and distortions.

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Data Availability

The datasets used in the current study are available from the corresponding author on reasonable request.

Abbreviations

A :

Surface area [m2]

c P :

Heat capacity [J/kg.K]

D :

Melt pool depth [μm]

f :

Porosity

h :

Heat transfer coefficient [W/m2.K]

H :

Bed thickness under consideration [m, μm]

I :

Power density distribution [W/m2]

k :

Thermal conductivity [W/m.K]

L :

Length of bed/melt pool [m, μm]

P :

Power [W]

q" :

Heat flux [W/m2]

Q :

Volumetric heat source [W/m3]

Q v :

Heat flux distribution [W/m3]

Q 0 :

The highest value of heat intensity [W/m3]

Ra :

Convection Raleigh number

r e :

The upper radius of heat source [m]

r i :

The lower radius of heat source [m]

t :

Time [s]

T :

Temperature [°C, K]

V :

Laser velocity [m/s], Melt pool volume [μm3]

W :

Melt pool width [μm]

x, y, z :

Spatial directions [m]

z e :

The upper surface of the heat source in z-direction [m]

z i :

The lower surface of the heat source in z-direction [m]

α :

Thermal diffusivity [m2/s]

β :

Bed surface absorptivity

Δ :

Difference

ϵ :

Bed surface emissivity

ξ, η, ζ :

Moving coordinates [m]

ρ :

Density [kg/m3]

σ :

Stefan-Boltzmann coefficient [W/m2.K4]

λ :

Latent heat of flusion [kJ/kg]

A:

Argon

B :

Bed

C :

Chamber wall/shielding gas

Conv :

Convection

Evp :

Evaporation

f :

Film

i :

Individual volumes

L :

Laser

Loss :

Losses

m :

Mean/effective/melt pool

Melt :

Melt pool/Melting

Rad :

Radiation

Surf :

Bed surface

References

  1. Adam, G.A.O., Zimmer, D.: Design for Additive Manufacturing-Element transitions and aggregated structures. CIRP J. Manuf. Sci. Technol. 7(1), 20–28 (2014)

    Article  Google Scholar 

  2. Srdja Zekovic, R.K., Dwivedi, R.: Thermo-structural Finite Element Analysis of Direct Laser Metal Deposited Thin-Walled Structures. Proc. SFF Symp. Austin, TX. (2005)

  3. Petrick, I.J., Simpson, T.W.: Point of view: 3D printing disrupts manufacturing: how economies of one create new rules of competition. Res. Manag. 56(6), 12–16 (2013)

    Google Scholar 

  4. Zhao, X., Promoppatum, P., Yao, S-C.: Numerical Modeling of Non-linear Thermal Stress in Direct Metal Laser Sintering Process of Titanium Alloy Products, Proceeding First Therm. Fluids Eng. Summer Conf., no. October (2016)

  5. Wimpenny, D.I., Pandey, P.M., Jyothish Kumar, L.: Advances in 3D Printing & additive manufacturing technologies. Springer, Singapore (2017)

    Book  Google Scholar 

  6. I. Yadroitsev, I. Yadroitsava, Smurov I.: Strategy of fabrication of complex shape parts based on the stability of single laser melted track. Laserbased Micro-and Nanopackaging and Assembly V. Vol. 7921. International Society for Optics and Photonics (2011)

  7. Gong, H., Rafi, K., Gu, H., Starr, T., Stucker, B.: Analysis of defect generation in Ti-6Al-4V parts made using powder bed fusion additive manufacturing processes. Addit Manuf. 1, 87–98 (2014)

    Google Scholar 

  8. Elsheikh, A.H., Guo, J., Lee, K.M.: Thermal deflection and thermal stresses in a thin circular plate under an axisymmetric heat source. J Therm Stress. 42(3), 361–373 (2019)

    Article  Google Scholar 

  9. ROSENTHAL, D.: Mathematical theory of heat distribution during welding and cutting. Weld. J. 20, 220–234 (1941)

    Google Scholar 

  10. Michaleris, P.: Modeling metal deposition in heat transfer analyses of additive manufacturing processes. Finite Elem. Anal. Des. 86, 51–60 (2014)

    Article  Google Scholar 

  11. Gürtler, F.J., Karg, M., Leitz, K.H., Schmidt, M.: Simulation of laser beam melting of steel powders using the three-dimensional volume of fluid method. Phys. Procedia. 41(July 2017), 881–886 (2013)

    Article  Google Scholar 

  12. Li, Y., Gu, D.: Parametric analysis of thermal behavior during selective laser melting additive manufacturing of aluminum alloy powder. Mater. Des. 63, 856–867 (2014)

    Article  Google Scholar 

  13. Dong, L., Makradi, A., Ahzi, S., Remond, Y.: Three-dimensional transient finite element analysis of the selective laser sintering process. J. Mater. Process. Technol. 209(2), 700–706 (2009)

    Article  Google Scholar 

  14. Kolossov, M.L.S., Boillat, E., Glardon, R., Fischer, P.: 3D FE simulation for temperature evolution in the selective laser sintering process. Int. J. Mach. Tools Manuf. 44(2-3), 117–123 (2004)

    Article  Google Scholar 

  15. Loh, L.E., Chua, C.K., Yeong, W.Y., Song, J., Mapar, M., Sing, S.L., Liu, Z.H., Zhang, D.Q.: Numerical investigation and an effective modelling on the selective laser melting (SLM) process with aluminium alloy 6061. Int. J. Heat Mass Transf. 80, 288–300 (2015)

    Article  Google Scholar 

  16. Ganeriwala, R., Zohdi, T.I.: Multiphysics modeling and simulation of selective laser sintering manufacturing processes. Procedia CIRP. 14, 299–304 (2014)

    Article  Google Scholar 

  17. Kovaleva, I., Kovalev, O., Smurov, I.: Model of heat and mass transfer in random packing layer of powder particles in selective laser melting. Phys. Procedia. 56(C), 400–410 (2014)

    Article  Google Scholar 

  18. Mohanty, S., Hattel, J.H.: Numerical model based reliability estimation of selective laser melting process. Phys. Procedia. 56(C), 379–389 (2014)

    Article  Google Scholar 

  19. Dai, D., Gu, D.: Thermal behavior and densification mechanism during selective laser melting of copper matrix composites: simulation and experiments. Mater. Des. 55, 482–491 (2014)

    Article  Google Scholar 

  20. Elsheikh, A.H., Shanmugan, S., Muthuramalingam, T., Kumar, R., Essa, F.A., Ibrahim, A.M.M.: Modeling of the Transient Temperature Field during Laser Heating. Lasers Manuf. Mater. Process. 8.2, 97–112 (2021)

  21. Elsheikh, A.H., Guo, J., Huang, Y., Ji, J., Lee, K.M.: Temperature field sensing of a thin-wall component during machining: numerical and experimental investigations. Int. J. Heat Mass Transf. 126, 935–945 (2018)

    Article  Google Scholar 

  22. Gusarov, A.V., Yadroitsev, I., Bertrand, P., Smurov, I.: Model of Radiation and Heat Transfer in Laser-Powder Interaction Zone at Selective Laser Melting. J. Heat Transf. 131(7), 072101 (2009)

    Article  Google Scholar 

  23. Eagar, T.W., Tsai, N.S.: Temperature fields produced by traveling distributed heat sources. Weld. J. 62(12), 346–355 (1983)

    Google Scholar 

  24. Nunes, A.C.: An Extended Rosenthal Weld Model A moving heat source weld model can be extended to include effects of phase changes and circulations in the weld pool. Am. Weld. Soc. 62, 165–170 (1983)

    Google Scholar 

  25. Brown, S., Song, H.: Finite Element Simulation of Welding of Large Structures. J. Eng. Ind. 114(4), 441 (1992)

    Article  Google Scholar 

  26. Holman, J.P.: Heat Transfer, 10th edn. McGraw-Hill Book Company (2010)

  27. Cho, J.H., Farson, D.F., Milewski, J.O., Hollis, K.J.: Weld pool flows during initial stages of keyhole formation in laser welding. J. Phys. D. Appl. Phys. 42(17), 175502 (2009)

  28. Gratton, A.: Comparison of Mechanical , Metallurgical Properties of 17-4PH Stainless Steel between Direct Metal Laser Sintering ( DMLS ) and Traditional Manufacturing Methods. Proc Natl Conf Undergrad Res. 2012, 423–431 (2012)

    Google Scholar 

  29. German, R.M., Seong, J.P.:Handbook of mathematical relations in particulate materials processing: ceramics, powder metals, cermets, carbides, hard materials, and minerals. Vol. 3. John Wiley& Sons (2009)

  30. Sabau, A.S., Porter, W.D.: Alloy shrinkage factors for the investment casting of 17-4PH stainless steel parts. Metall. Mater. Trans. B Process Metall. Mater. Process. Sci. 39(2), 317–330 (2008)

    Article  Google Scholar 

  31. Promoppatum, P., Yao, S., Pistorius, P.C., Rollett, A.D.: A comprehensive comparison of the analytical and numerical prediction of the thermal history and solidification microstructure of Inconel 718 products made by laser powder-bed fusion. Engineering. 3(5), 685–694 (2017)

    Article  Google Scholar 

  32. Ning, J., Mirkoohi, E., Dong, Y., Sievers, D.E., Garmestani, H., Liang, S.Y.: Analytical modeling of 3D temperature distribution in selective laser melting of Ti-6Al-4V considering part boundary conditions. J. Manuf. Process. 44(March), 319–326 (2019)

    Article  Google Scholar 

  33. Mirkoohi, E., Tran, H.C., Lo, Y.L., Chang, Y.C., Lin, H.Y., Liang, S.Y.: Analytical modeling of residual stress in laser powder bed fusion considering part’s boundary condition. Crystals. 10(4), 337 (2020)

  34. Zhang, Z., Huang, Y., Rani Kasinathan, A., Imani Shahabad, S., Ali, U., Mahmoodkhani, Y., Toyserkani, E.: 3-dimensional heat transfer modeling for laser powder-bed fusion additive manufacturing with volumetric heat sources based on varied thermal conductivity and absorptivity. Opt. Laser Technol. 109, 297–312 (2019)

    Article  Google Scholar 

  35. Shahabad, S.I., Zhang, Z., Keshavarzkermani, A., Ali, U., Mahmoodkhani, Y., Esmaeilizadeh, R., Bonakdar, A., Toyserkani, E.: Heat source model calibration for thermal analysis of laser powder-bed fusion. Int. J. Adv. Manuf. Technol. 106(7–8), 3367–3379 (2020)

    Article  Google Scholar 

  36. Khan, M.S., Shahabad, S.I., Yavuz, M., Duley, W.W., Biro, E., Zhou, Y.: Numerical modelling and experimental validation of the effect of laser beam defocusing on process optimization during fiber laser welding of automotive press-hardened steels. J. Manuf. Process. 67(February), 535–544 (2021)

    Article  Google Scholar 

  37. Muthuramalingam, T., Akash, R., Krishnan, S., Phan, N.H., Pi, V.N., Elsheikh, A.H.: Surface quality measures analysis and optimization on machining titanium alloy using CO2 based laser beam drilling process. J. Manuf. Process. 62(December 2020), 1–6 (2021)

  38. Qiu, C., Panwisawas, C., Ward, M., Basoalto, H.C., Brooks, J.W., Attallah, M.M.: On the role of melt flow into the surface structure and porosity development during selective laser melting. Acta Mater. 96, 72–79 (2015)

    Article  Google Scholar 

  39. Gusarov, A.V., Yadroitsev, I., Bertrand, P., Smurov, I.: Heat transfer modelling and stability analysis of selective laser melting. Appl. Surf. Sci. 254(4), 975–979 (2007)

    Article  Google Scholar 

  40. Kasperovich, G., Haubrich, J., Gussone, J., Requena, G.: Correlation between porosity and processing parameters in TiAl6V4 produced by selective laser melting. Mater. Des. 105, 160–170 (2016)

    Article  Google Scholar 

  41. Khanzadehdaghalian, M., Bian, L., Shamsaei, N., Thompson, S.M.: Porosity Detection of Laser Based Additive Manufacturing Using Melt Pool Morphology Clustering, Solid Free. Fabr. 2016 Proc. 26th Annu. Int, pp. 1487–1494, (2016)

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Acknowledgments

This work was supported by funding from the Natural Sciences and Engineering Research Council of Canada (NSERC), the Federal Economic Development Agency for Southern Ontario (FedDev Ontario). Besides, the authors would like to appreciate Zhidong Zhang for his support in LPBF modeling and in providing experimental data.

Code Availability

Not applicable.

Funding

This work was supported by funding from the Natural Sciences and Engineering Research Council of Canada (NSERC), the Federal Economic Development Agency for Southern Ontario (FedDev Ontario).

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Gholamreza Karimi: Initiating the idea and working on the theoretical part of the manuscript, writing, review, and editing.

Shahriar Imani Shahabad: Conducting LPBF numerical analysis, writing, review, and editing.

Ehsan Toyserkani: Supervision, writing, review, and editing.

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Correspondence to Gholamreza Karimi.

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Imani Shahabad, S., Karimi, G. & Toyserkani, E. An Extended Rosenthal’s Model for Laser Powder-Bed Fusion Additive Manufacturing: Energy Auditing of Thermal Boundary Conditions. Lasers Manuf. Mater. Process. 8, 288–311 (2021). https://doi.org/10.1007/s40516-021-00148-0

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