Log in

The effect of evaporation and recoil pressure on energy loss and melt pool profile in selective electron beam melting

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

Abstract

Powder bed fusion (PBF) systems are the most widely used metal additive manufacturing applications. Among these systems, selective electron beam melting (SEBM) is less common but is preferred for its fast-printing features and manufacturing high-density parts with lower residual stresses and distortion. As with other PBF systems, the predictions of temperature distribution and melt pool dimensions are highly important for this process. In this context, evaporation is also an issue that needs to be focused on due to its effect on the melt pool profile, energy loss, and manufacturing defects. In this study, the effects of evaporation and recoil pressure on the melt pool and energy loss are examined by evaluating experimental solidified melt pool profiles. An empirical recoil pressure expression is derived. A relatively simple but effective modeling approach is presented and validated with experimental results.

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

Access this article

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (Canada)

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9

Similar content being viewed by others

Availability of data and material

The authors confirm that the data supporting the findings of this study are available within the article [and/or] its supplementary materials.

References

  1. Körner C (2016) Additive manufacturing of metallic components by selective electron beam melting - a review. Int Mater Rev 61(5):361–377. https://doi.org/10.1080/09506608.2016.1176289

    Article  Google Scholar 

  2. Tan X, Yihongkok Y, Tor SB, Chua CK (2014) Application of electron beam melting (ebm) in additive manufacturing of an impeller. Proc Int Conf Prog Addit Manuf 1:327–332. https://doi.org/10.3850/978-981-09-0446-3_076

    Article  Google Scholar 

  3. Juechter V, Scharowsky T, Singer RF, Körner C (2014) Processing window and evaporation phenomena for Ti-6Al-4V produced by selective electron beam melting. Acta Mater 76:252–258. https://doi.org/10.1016/j.actamat.2014.05.037

    Article  Google Scholar 

  4. Pobel CR, Osmanlic F, Lodes MA, Wachter S, Körner C (2019) Processing windows for Ti-6Al-4V fabricated by selective electron beam melting with improved beam focus and different scan line spacings. Rapid Prototyp J 25:665–671. https://doi.org/10.1108/RPJ-04-2018-0084

    Article  Google Scholar 

  5. Scharowsky T, Bauereiß A, Körner C (2017) Influence of the hatching strategy on consolidation during selective electron beam melting of Ti-6Al-4V. Int J Adv Manuf Technol 92(5–8):2809–2818. https://doi.org/10.1007/s00170-017-0375-1

    Article  Google Scholar 

  6. Shrestha S, Cheng B, Chou K (2016) An investigation into melt pool effective thermal conductivity for thermal modeling of powder-bed electron beam additive manufacturing. Solid Freeform Fabrication 2016: Proceedings of the 27th Annual International Solid Freeform Fabrication Symposium - An Additive Manufacturing Conference 207–218

  7. Ding X, Koizumi Y, Wei D, Chiba A (2019) Effect of process parameters on melt pool geometry and microstructure development for electron beam melting of IN718: a systematic single bead analysis study. Addit Manuf 1:215–226. https://doi.org/10.1016/j.addma.2018.12.018

    Article  Google Scholar 

  8. Koepf JA, Soldner D, Ramsperger M, Mergheim J, Markl M, Körner C (2019) Numerical microstructure prediction by a coupled finite element cellular automaton model for selective electron beam melting. Comput Mater Sci 162:148–155. https://doi.org/10.1016/j.commatsci.2019.03.004

    Article  Google Scholar 

  9. Cheng B, Price S, Lydon J, Cooper K, Chou K (2014) On process temperature in powder-bed electron beam additive manufacturing: model development and validation. J Manuf Sci E T ASME 136(6):1–12. https://doi.org/10.1115/1.4028484

    Article  Google Scholar 

  10. Zäh MF, Lutzmann S (2010) Modelling and simulation of electron beam melting. Prod Eng Res Devel 4(1):15–23. https://doi.org/10.1007/s11740-009-0197-6

    Article  Google Scholar 

  11. Galati M, Iuliano L, Salmi A, Atzeni E (2017) Modelling energy source and powder properties for the development of a thermal FE model of the EBM additive manufacturing process. Addit Manuf 14:49–59. https://doi.org/10.1016/j.addma.2017.01.001

    Article  Google Scholar 

  12. Yan W, Ge W, Smith J, Lin S, Kafka OL, Lin F, Liu WK (2016) Multi-scale modeling of electron beam melting of functionally graded materials. Acta Mater 115:403–412. https://doi.org/10.1016/j.actamat.2016.06.022

    Article  Google Scholar 

  13. Jamshidinia M, Kong F, Kovacevic R (2013) Numerical modeling of heat distribution in the electron beam melting® of Ti-6Al-4V. J Manuf Sci Eng Trans ASME 135:6. https://doi.org/10.1115/1.4025746

    Article  Google Scholar 

  14. Mishra AK, Kumar A (2019) Numerical and experimental analysis of the effect of volumetric energy absorption in powder layer on thermal-fluidic transport in selective laser melting of Ti6Al4V. Opt Laser Technol 111:227–239. https://doi.org/10.1016/j.optlastec.2018.09.054

    Article  Google Scholar 

  15. Körner E, Heinl P (2011) Mesoscopic simulation of selective beam melting processes. J Mater Process Technol 211(6):978–987. https://doi.org/10.1016/j.jmatprotec.2010.12.016

    Article  Google Scholar 

  16. Yan W, Qian Y, Ma W, Zhou B, Shen Y, Lin F (2017) Modeling and experimental validation of the electron beam selective melting process. Engineering 3(5):701–707. https://doi.org/10.1016/J.ENG.2017.05.021

    Article  Google Scholar 

  17. Ammer R, Markl M, Ljungblad U, Körner C, Rüde U (2014) Simulating fast electron beam melting with a parallel thermal free surface lattice Boltzmann method. Comput Math Appl 67(2):318–330. https://doi.org/10.1016/j.camwa.2013.10.001

    Article  MathSciNet  MATH  Google Scholar 

  18. Riedlbauer D, Scharowsky T, Singer RF, Steinmann P, Körner MJ (2017) Macroscopic simulation and experimental measurement of melt pool characteristics in selective electron beam melting of Ti-6Al-4V. Int J Adv Manuf Technol 88:1309–1317. https://doi.org/10.1007/s00170-016-8819-6

    Article  Google Scholar 

  19. Parry L, Ashcroft IA, Wildman RD (2016) Understanding the effect of laser scan strategy on residual stress in selective laser melting through thermo-mechanical simulation. Addit Manuf 12:1–15. https://doi.org/10.1016/j.addma.2016.05.014

    Article  Google Scholar 

  20. Mills KC (2002) Recommended values of thermophysical properties for selected commercial alloys

  21. Gong X, Cheng B, Price S, Chou K (2013) Powder-bed electron-beam-melting additive manufacturing: powder characterization, process simulation and metrology. Early Career Tech. Conf Birmingham AL 1:55–66

    Google Scholar 

  22. Zhang T et al (2019) Evolution of molten pool during selective laser melting of Ti-6Al-4V. J Phys D Appl Phys 52:5. https://doi.org/10.1088/1361-6463/aaee04

    Article  Google Scholar 

  23. Aune R et al (2005) Surface tension and viscosity of industrial alloys from parabolic flight experiments - results of the ThermoLab project. Microgravity Sci Technol 15:11–14. https://doi.org/10.1007/bf02945937

    Article  Google Scholar 

  24. Galati M, Snis A, Iuliano L (2019) Powder bed properties modelling and 3D thermo-mechanical simulation of the additive manufacturing electron beam melting process. Addit Manuf 30:100897. https://doi.org/10.1016/j.addma.2019.100897

    Article  Google Scholar 

  25. Le TN, Lo YL, Tran HC (2019) Multi-scale modeling of selective electron beam melting of Ti6Al4V titanium alloy. Int J Adv Manuf Technol 105:545–563. https://doi.org/10.1007/s00170-019-04188-x

    Article  Google Scholar 

  26. Zakirov A et al (2020) Predictive modeling of laser and electron beam powder bed fusion additive manufacturing of metals at the mesoscale. Addit Manuf 35:101236. https://doi.org/10.1016/j.addma.2020.101236

    Article  Google Scholar 

  27. Safarian J, Engh TA (2013) Vacuum evaporation of pure metals. Metall. Mater Trans A Phys Metall Mater Sci 44:747–753. https://doi.org/10.1007/s11661-012-1464-2

    Article  Google Scholar 

  28. Alcock CB, Itkin VP, Horrigan MK (1984) Vapour pressure equations for the metallic elements: 298–2500k. Can Metall Q 23(3):309–313. https://doi.org/10.1179/cmq.1984.23.3.309

    Article  Google Scholar 

Download references

Funding

The authors are very grateful to TUBITAK for financial support (Grant No: 3170014).

Author information

Authors and Affiliations

Authors

Contributions

All authors contributed to the study conception and design. MM: Writing-original draft, modeling, conceptualization, software, methodology, and metallography. OY: Supervision, writing-review and editing, and methodology. RU: Supervision and methodology. BG: Design and manufacturing and metallography. ET: Design and manufacturing and metallography.

Corresponding author

Correspondence to Mehmet Mollamahmutoglu.

Ethics declarations

Ethics approval

Not applicable.

Consent to participate

Not applicable.

Consent for publication

Not applicable.

Conflict of interest

The authors declare no competing interests.

Additional information

Publisher's note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Mollamahmutoglu, M., Yilmaz, O., Unal, R. et al. The effect of evaporation and recoil pressure on energy loss and melt pool profile in selective electron beam melting. Int J Adv Manuf Technol 120, 4041–4050 (2022). https://doi.org/10.1007/s00170-022-09017-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-022-09017-2

Keywords

Navigation