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Prediction of residual stress and deformation based on the temperature distribution in 3D-printed parts

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Abstract

Selective laser melting (SLM) is a promising additive manufacturing (AM) technique that has the potential to produce almost any three-dimensional (3D) metallic parts with complicated structures. During the SLM process, the thermal behavior of metal powder plays a significant role in maintaining the product quality during 3D printing. Furthermore, due to high heating and cooling rates within the selective laser melting (SLM) process, a high-temperature gradient forms in the heat-affected zone, which generates significant residual stresses within the fabricated parts. In this study, a thermo-mechanical coupling model was developed for studying thermal behavior, residual stress, and deformation during the SLM process of Ti6Al4V alloy. In the experiments, a TELOPS FAST-IR (M350) thermal imager was applied to determine the temperature profile of the melting pool and powder bed along the scanning direction during the SLM fabrication using Ti6Al4V powder. The numerically calculated results were compared with the experimentally determined temperature distribution. The comparison showed that the calculated peak temperature for single track by the developed thermal model was in good agreement with the experiment results. Through the simulation, an effective prediction method for investigating the effects of process parameters such as the laser power and scanning speed on the temperature distribution, residual stress, and deformation was established. The findings showed that the development of residual stress on the fabricated parts gradually increased throughout the SLM process, produced by a heat accumulation effect.

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References

  1. Levy GN, Schindel R, Kruth JP (2003) Rapid manufacturing and rapid tooling with layer manufacturing (LM) technologies, State of The Art and Future Perspectives. CIRP Ann Manuf Technol 52:589–609

    Article  Google Scholar 

  2. Masoomi M, Thompson SM, Shamsaei N (2017) Laser powder bed fusion of Ti-6Al-4V parts: thermal modeling and mechanical implications. Int J Mach Tools Manuf 118–119:73–90

    Article  Google Scholar 

  3. Dilip JJS, Zhang S, Teng C, Zeng K, Robinson C, Pal D, Stucker B (2017) Influence of processing parameters on the evolution of melt pool, porosity, and microstructures in Ti-6Al-4V alloy parts fabricated by selective laser melting. Progr Addit Manuf 2:157–167

    Article  Google Scholar 

  4. Song B, Dong S, Liao H, Coddet C (2012) Process parameter selection for selective laser melting of Ti6Al4V based on temperature distribution simulation and experimental sintering. Int J Adv Manuf Technol 61:967–974

    Article  Google Scholar 

  5. Kundakcioglu E, Lazoglu I, Rawal S (2016) Transient thermal modeling of laser-based additive manufacturing for 3D freeform structures. Int J Adv Manuf Technol 85:493–501

    Article  Google Scholar 

  6. Li R, Shi Y, Wang Z, Wang L, Liu J, Jiang W (2010) Densification behavior of gas and water atomized 316 L stainless steel powder during selective laser melting. Appl Surf Sci 256:4350–4356

    Article  Google Scholar 

  7. Yadroitsev I, Yadroitsava I, Bertrand P, Smurov I (2012) Factor analysis of selective laser melting process parameters and geometrical characteristics of synthesized single tracks. Rapid Prototyp J 18:201–208

    Article  Google Scholar 

  8. Huang Y, Yang LJ, Du XZ, Yang YP (2016) Finite element analysis of thermal behavior of metal powder during selective laser melting. Int J Therm Sci 104:146–157

    Article  Google Scholar 

  9. Mercelis P, Kruth J (2006) Residual stresses in selective laser sintering and selective laser melting. Rapid Prototyp J 12:254–265

    Article  Google Scholar 

  10. Huang Y, Yang LJ, Du XZ, Yang YP (2016) Finite element analysis of thermal behavior of metal powder during selective laser melting. Int J Therm Sci C:146–157

    Article  Google Scholar 

  11. Zhang Jian; Li Deying; Zhao Longzhi (2010) Zhao Mingjuan Simulation of temperature field in selective laser sintering of copper powder. In Proceedings of the 2010 International Conference on Mechanic Automation and Control Engineering; IEEE: Wuhan, China; pp. 3282–3285

  12. Ali H, Ghadbeigi H, Mumtaz K (2018) Processing parameter effects on residual stress and mechanical properties of selective laser melted Ti6Al4V. J Mater Eng Perform 27:4059–4068

    Article  Google Scholar 

  13. Li Y, Zhou K, Tan P, Tor SB, Chua CK, Leong KF (2018) Modeling temperature and residual stress fields in selective laser melting. Int J Mech Sci 136:24–35

    Article  Google Scholar 

  14. Mukherjee T, Zhang W, DebRoy T (2017) An improved prediction of residual stresses and distortion in additive manufacturing. Comput Mater Sci 126:360–372

    Article  Google Scholar 

  15. Mugwagwa L, Dimitrov D, Matope S, Yadroitsev I (2019) Evaluation of the impact of scanning strategies on residual stresses in selective laser melting. Int J Adv Manuf Technol 102:2441–2450

    Article  Google Scholar 

  16. Fischer P, Locher M, Romano V, Weber HP, Kolossov S, Glardon R (2004) Temperature measurements during selective laser sintering of titanium powder. Int J Mach Tools Manuf 12–13:1293–1296

    Article  Google Scholar 

  17. Yadroitsev I, Krakhmalev P, Yadroitsava I (2014) Selective laser melting of Ti6Al4V alloy for biomedical applications: temperature monitoring and microstructural evolution. J Alloys Compd 583:404–409

    Article  Google Scholar 

  18. Fu CH, Guo YB (2014) Three-dimensional temperature gradient mechanism in selective laser melting of Ti-6Al-4V. J Manuf Sci Eng:136

  19. Li Z, Xu R, Zhang Z, Kucukkoc I (2018) The influence of scan length on fabricating thin-walled components in selective laser melting. Int J Mach Tools Manuf 126:1–12

    Article  Google Scholar 

  20. Gürtler FJ, Karg M, Leitz KH, Schmidt M (2013) Simulation of laser beam melting of steel powders using the three-dimensional volume of fluid method. Phys Procedia 41:881–886

    Article  Google Scholar 

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

    Google Scholar 

  22. 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 51:1651–1662

    Article  Google Scholar 

  23. Kundakcıoğlu E, Lazoglu I, Poyraz Ö, Yasa E, Cizicioğlu N (2018) Thermal and molten pool model in selective laser melting process of Inconel 625. Int J Adv Manuf Technol 95:3977–3984

    Article  Google Scholar 

  24. Peyre P, Aubry P, Fabbro R, Neveu R, Longuet A (2008) Analytical and numerical modelling of the direct metal deposition laser process. J Phys D Appl Phys 41:025403

    Article  Google Scholar 

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Funding

This work was supported by the ICT R&D program of MSIP/IITP [2019-0-00035], Development of PBF 3D printing analysis SW Technology for manufacturing simulation of metal parts in power generation or shipping.

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Authors and Affiliations

  1. Department of Mechanical Engineering, University of Ulsan, 93 Daehak-ro, Namgu, Ulsan, 44610, South Korea

    Ansari Md Jonaet, Hong Seok Park & Lee Chang Myung

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  1. Ansari Md Jonaet
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  2. Hong Seok Park
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  3. Lee Chang Myung
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Correspondence to Hong Seok Park.

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Jonaet, A.M., Park, H.S. & Myung, L.C. Prediction of residual stress and deformation based on the temperature distribution in 3D-printed parts. Int J Adv Manuf Technol 113, 2227–2242 (2021). https://doi.org/10.1007/s00170-021-06711-5

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  • DOI: https://doi.org/10.1007/s00170-021-06711-5

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