Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content

Identification of a suitable volumetric heat source for modelling of selective laser melting of Ti6Al4V powder using numerical and experimental validation approach

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

Abstract

Using a suitable heat source is crucial to correctly simulate the selective laser melting (SLM) process as the heat source represents the absorbed heat energy, which governs the thermal and fluid flow phenomena associated with SLM. The discontinuous mass distribution in the powder bed causes absorption of incident laser energy over a substantial depth in the powder bed. Therefore, the conventional way of including laser beam energy as a surface heat flux in the modelling of SLM process is likely to provide inaccurate results. This draws attention towards the use of a volumetric heat source in SLM modelling. A number of models for the volumetric heat sources are present that make a selection very difficult. Therefore, several heat sources are investigated in this study using numerical modelling. A three-dimensional model of SLM of Ti6Al4V powder has been developed. The model comprises of a mathematical description of the SLM process along with models for thermal, physical and optical properties of the powder bed. The temperature field, melt pool dimensions, temperature gradient and cooling rate are discussed in detail. The simulation results are compared with the published experimental results to identify a suitable heat source for SLM modelling. Among different heat sources considered, the Gaussian exponential volumetric heat source is found to provide the best matching results with the experiments. Hence, it is identified as the suitable heat source for use in modelling of SLM.

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

Access this article

Subscribe and save

Springer+ Basic
$34.99 /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 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. Aversa A, Moshiri M, Librera E, Hadi M, Marchese G, Manfredi D, Lorusso M, Calignano F, Biamino S, Lombardi M, Pavese M (2018) Single scan track analyses on aluminium based powders. J Mater Process Technol 255:17–25

    Article  Google Scholar 

  2. Leuders S, Meiners S, Wu L, Taube A, Troster T, Niendorf T (2017) Structural components manufactured by selective laser melting and investment casting—impact of the process route on the damage mechanism under cyclic loading. J Mater Process Technol 248:130–142

    Article  Google Scholar 

  3. Wu YC, San CH, Chang CH, Lin HJ, Marwan R, Baba S, Hwang WS (2018) Numerical modeling of melt-pool behaviour in selective laser melting with random powder distribution and experimental validation. J Mater Process Technol 254:72–78

    Article  Google Scholar 

  4. Antony K, Arivazhagan N, Senthilkumaran K (2014) Numerical and experimental investigations on laser melting of stainless steel 316L metal powders. J Manuf Process 16:345–355

    Article  Google Scholar 

  5. Vastola G, Zhang G, Pei QX, Zhang YW (2015) Modelling and control of remelting in high-energy beam additive manufacturing. Addit Manuf 7:57–63

    Article  Google Scholar 

  6. Verhaeghe F, Craeghs T, Heulens J, Pandelaers L (2009) A pragmatic model for selective laser melting with evaporation. Acta Mater 57:6006–6012

    Article  Google Scholar 

  7. Li Y, Gu D (2014) Thermal behaviour during selective laser melting of commercially pure titanium powder: numerical simulation and experimental study. Addit Manuf 1–4:99–109

    Article  Google Scholar 

  8. Zhirnov I, Yadroitsova I, Yadroitsev I (2015) Optical monitoring and numerical simulation of temperature distribution at selective laser melting of Ti6Al4V alloy. Mater Sci Forum 828-829:474–481

    Article  Google Scholar 

  9. Romano J, Ladani L, Razmi J, Sadowski M (2015) Temperature distribution and melt geometry in laser and electron beam melting processes—a comparison among common materials. Addit Manuf 8:1–11

    Article  Google Scholar 

  10. Loh L, Chua C, Yeong W, Mapar M, Sing S, Liu Z, Zhang D (2015) 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

    Article  Google Scholar 

  11. Lee YS, Zhang W (2016) Modelling of heat transfer, fluid flow and solidification microstructure of nickel base superalloy fabricated by laser powder bed fusion. Addit Manuf 12:178–188

    Article  Google Scholar 

  12. Li JF, Li L, Scott FH (2004) Comparison of volumetric and surface heating sources in the modelling of laser melting of ceramic materials. Int J Heat Mass Transf 47:1159–1174

    Article  Google Scholar 

  13. Yin J, Zhu H, Ke L, Hu P, He C, Zhang H, Zeng X (2016) A finite element model of thermal evolution in laser micro sintering. Int J Adv Manuf Technol 83:1847–1859

    Article  Google Scholar 

  14. Cheng B, Shrestha S, Chou K (2016) Stress and deformation evaluations of scanning strategy effect in selective laser melting. Addit Manuf 12:240–251

    Article  Google Scholar 

  15. Shrestha S, Chou K (2017) Mesoscopic multilayer simulation of selective laser melting process. 28th Annual International Solid Freeform Fabrication (SFF) Symposium—an additive manufacturing conference, Austin August 7–9

    Google Scholar 

  16. Shrestha S, Chou K (2018) Computational analysis of thermo-fluid dynamics with metallic powder in SLM. In: Nastac L, Pericleous K, Sabau A, Zhang L, Thomas B (eds) CFD modeling and simulation in materials processing 2018. TMS 2018. The minerals, metals & materials series. Springer, Cham

    Google Scholar 

  17. Liu S, Zhu H, Peng G, Zeng X (2018) Microstructure prediction of selective laser melting AlSi10Mg using finite element analysis. Mater Des 142:319–328

    Article  Google Scholar 

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

    Article  Google Scholar 

  19. Yadaiah N, Bag S (2014) Development of egg-configuration heat source model in numerical simulation of autogenous fusion welding process. Int J Therm Sci 86:125–138

    Article  Google Scholar 

  20. Foroozmehr A, Badrossamay M, Foroozmehr E (2016) Finite element simulation of selective laser melting process considering optical penetration depth of laser in powder bed. Mater Des 89:255–263

    Article  Google Scholar 

  21. Fischer P, Romano V, Weber HP, Karapatis NP, Boillat E, Glardon R (2003) Sintering of commercially pure titanium powder with a Nd: YAG laser source. Acta Mater 52:1651–1662

    Article  Google Scholar 

  22. Rai R, Elmer JW, Palmer TA, Debroy T (2007) Heat transfer and fluid flow during keyhole mode laser welding of tantalum, Ti6Al4V, 304L stainless steel and vanadium. J Phys D Appl Phys 40:5753–5766

    Article  Google Scholar 

  23. Rombouts M, Froyen L, Gusarov AV, Bentefour EH, Glorieux C (2005) Light extinction in metallic powder beds: correlation with powder structure. J Appl Phys 98:013533

    Article  Google Scholar 

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

    Article  Google Scholar 

  25. Fan Z, Liou F (2012) Numerical modeling of the additive manufacturing (AM) processes of titanium alloy. Nurul Amin AKM (ed) Titanium alloys - towards achieving enhanced properties for diversified applications. InTech. https://doi.org/10.5772/34848

    Google Scholar 

  26. Bag S, Trivedi A, De A (2009) Development of a finite element based heat transfer model for conduction mode laser spot welding process using an adaptive volumetric heat source. Int J Therm Sci 48:1923–1931

    Article  Google Scholar 

  27. Arghode VK, Kumar A, Sundarraj S, Dutta P (2008) Computational modeling of GMAW process for joining dissimilar aluminum alloys. Numer Heat Transfer Part A Appl 53:432–455

    Article  Google Scholar 

  28. Pathak N, Kumar A, Yadav A, Dutta P (2009) Effects of mould filling on evolution of the solid-liquid interface during solidification. Appl Therm Eng 29:3669–3678

    Article  Google Scholar 

  29. Mukherjee T, Manvatkar V, De A, DebRoy T (2017) Dimensionless numbers in additive manufacturing. J Appl Phys 121:064904

    Article  Google Scholar 

  30. Wei HL, Mukherjee T, Debroy T (2016) Grain growth modelling for additive manufacturing of nickel based superalloys. In: EA Holm, S Farjami, P Manohar, GS Rohrer, AD Rollette, D Srolovitz, H Weiland (eds.) Proceeding of the 6th international conference on recrystallization and grain growth 2016, July 17–21, Pittsburgh

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Arvind Kumar.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Mishra, A.K., Aggarwal, A., Kumar, A. et al. Identification of a suitable volumetric heat source for modelling of selective laser melting of Ti6Al4V powder using numerical and experimental validation approach. Int J Adv Manuf Technol 99, 2257–2270 (2018). https://doi.org/10.1007/s00170-018-2631-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-018-2631-4

Keywords