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Monitoring and detection of meltpool and spatter regions in laser powder bed fusion of super alloy Inconel 625

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Abstract

Additive manufacturing is being adopted to produce metal parts directly from digital design with applications in automotive, aerospace, and biomedical products. Laser powder bed fusion (LPBF) process is a viable technology for this purpose that utilizes a high-power laser beam which follows layer-to-layer scanning of predefined paths on a metal powder bed. In situ monitoring of LPBF process is essential to detect the localized meltpool, its vicinity, and material spatter around it with a goal to control the health of the meltpool. Among many alternatives, high-fidelity video monitoring can provide cost-effective insights to the on-going process to detect changes in meltpool and its vicinity that can further be integrated into an adaptive control system. For this purpose, a high frame rate camera was employed for in situ viewing of meltpool regions during laser fusion of a super alloy, Inconel 625, powder material to be able to improve the process control capability. The size and shape of the meltpool and the heat affected region detected via in situ viewing represent the sources of information to detect possible anomalies and defects. These acquired video volumes were processed and analysed using statistical process control (SPC) charts. The results indicate that some occurrences of undermelting, overmelting, and material spatter can be detected that can then be correlated to localized defects, delamination, and layer separation.

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References

  1. Khairallah SA, Anderson AT, Rubenchik A, King WE (2016) Laser powder-bed fusion additive manufacturing: physics of complex melt flow and formation mechanisms of pores, spatter, and denudation zones. Acta Mater 108:36–45

    Article  Google Scholar 

  2. Dunbar AJ, Denlinger ER, Gouge MF, Simpson TW, Michaleris P (2017) Comparisons of laser powder bed fusion additive manufacturing builds through experimental in situ distortion and temperature measurements. Addit Manuf 15:57–65

    Google Scholar 

  3. Bartlett JL, Li X (2019) An overview of residual stresses in metal powder bed fusion. Addit Manuf 27:131–149

    Google Scholar 

  4. Criales LE, Arisoy YM, Lane B, Moylan S, Donmez A, Özel T (2017) Laser powder bed fusion of nickel alloy 625: experimental investigations of effects of process parameters on melt pool size and shape with spatter analysis. Int J Mach Tools Manuf 121:22–36

    Article  Google Scholar 

  5. Tian Y, Muñiz-Lerma JA, Brochu M (2017) Nickel-based superalloy microstructure obtained by pulsed laser powder bed fusion. Mater Charact 131:306–315

    Article  Google Scholar 

  6. Rodgers TM, Madison JD, Tikare V (2017) Simulation of metal additive manufacturing microstructures using kinetic Monte Carlo. Comput Mater Sci 135:78–89

    Article  Google Scholar 

  7. Criales LE, Arisoy YM, Lane B, Moylan S, Donmez A, Özel T (2017) Predictive modeling and optimization of multi-track processing for laser powder bed fusion of nickel alloy 625. Addit Manuf 13:14–36

    Google Scholar 

  8. Luo Z, Zhao Y (2018) A survey of finite element analysis of temperature and thermal stress fields in powder bed fusion. Addit Manuf 21:318–332

    Google Scholar 

  9. Denlinger ER, Jagdale V, Srinivasan GV, El-Wardany T, Michaleris P (2016) Thermal modeling of Inconel 718 processed with powder bed fusion and experimental validation using in situ measurements. Addit Manuf 11:7–15

    Google Scholar 

  10. Thompson A, Senin N, Giusca C, Leach R (2017) Topography of selectively laser melted surfaces: a comparison of different measurement methods. CIRP Ann Manuf Technol 66:543–546

    Article  Google Scholar 

  11. Townsend A, Pagani L, Scott P, Blunt L (2018) Areal surface texture data extraction from X-ray computed tomography reconstructions of metal additively manufactured parts. Precis Eng 48:254–264

    Article  Google Scholar 

  12. Zhang B, Ziegert J, Farahi F, Davies A (2016) In situ surface topography of laser powder bed fusion using fringe projection. Addit Manuf 12:100–1007

    Google Scholar 

  13. Özel T, Altay A, Donmez A, Leach R (2018) Surface topography investigations on nickel alloy 625 fabricated via laser powder bed fusion. Int J Adv Manuf Technol 94(9–12):4451–4458

    Article  Google Scholar 

  14. Everton SK, Hirsch M, Stravroulakis P, Leach RK, Clare AT (2016) Review of in-situ process monitoring and in-situ metrology for metal additive manufacturing. Mater Des 95:431–445

    Article  Google Scholar 

  15. Grasso M, Colosimo BM (2017) Process defects and in situ monitoring methods in metal powder bed fusion: a review. Meas Sci Technol 28(4):044005

    Article  Google Scholar 

  16. Grasso M, Laguzza V, Semeraro Q, Colosimo BM (2016) In-process monitoring of selective laser melting: spatial detection of defects via image data analysis. ASME J Manuf Sci Eng 139(5):1–16

    Google Scholar 

  17. Repossini G, Laguzza V, Grasso M, Colosimo BM (2017) On the use of spatter signature for in-situ monitoring of laser powder bed fusion. Addit Manuf 16:35–48

    Google Scholar 

  18. Berumen S, Bechmann F, Lindner S, Kruth J-P, Craeghs T (2010) Quality control of laser- and powder bed-based additive manufacturing (AM) technologies. Phys Procedia 5:617–622

    Article  Google Scholar 

  19. Clijsters S, Craeghs T, Buls S, Kempen K, Kruth J-P (2014) In situ quality control of the selective laser melting process using a high-speed, real-time melt pool monitoring system. Int J Adv Manuf Technol 75:10891101

    Article  Google Scholar 

  20. Craeghs T, Clijsters S, Yasa E, Bechmann F, Berumen S, Kruth J-P (2011) Determination of geometrical factors in layerwise laser melting using optical process monitoring. Opt Lasers Eng 49:1440–1446

    Article  Google Scholar 

  21. Kanko JA, Sibley AP, Fraser JM (2016) In situ morphology-based defect detection of selective laser melting through inline coherent imaging. J Mater Process Technol 231:488–500

    Article  Google Scholar 

  22. Spears TG, Gold SA (2016) In-process sensing in selective laser melting (SLM) additive manufacturing. Integr Mater Manuf Innov 5(1):16–40

    Article  Google Scholar 

  23. Doubenskaia M, Pavlov M, Grigoriev S, Tikhonova E, Smurov I (2012) Comprehensive optical monitoring of selective laser melting. J Laser Micro Nanoeng 7(3):236–243

    Article  Google Scholar 

  24. Doubenskaia M, Pavlov M, Chivel Y (2010) Optical system for on-line monitoring and temperature control in selective laser melting technology. Key Eng Mater 437:458–461

    Article  Google Scholar 

  25. Krauss H, Zeugner T, Zaeh MF (2014) Layerwise monitoring of the selective laser melting process by thermography. Phys Procedia 56:64–71

    Article  Google Scholar 

  26. Lott P, Schleifenbaum H, Meiners W, Wissenbach K, Hinke C, Bültmann J (2011) Design of an optical system for the in-situ process monitoring of selective laser melting (SLM). Phys Procedia 12:683–690

    Article  Google Scholar 

  27. Wang D, Ye G, Dou W, Zhang M, Yang Y, Mai S, Liu Y (2020) Influence of spatter particles contamination on densification behavior and tensile properties of CoCrW manufactured by selective laser melting. Opt Laser Technol 121:105678

    Article  Google Scholar 

  28. Lane B, Moylan S, Whitenton E, Ma L (2016) Thermographic measurements of the commercial laser powder bed fusion process at NIST. Rapid Prototyp J 22(5):778–787

    Article  Google Scholar 

  29. Otsu N (1979) A threshold selection method from gray-level histograms. IEEE Trans Syst Man Cybern 9(1):62–66

    Article  Google Scholar 

  30. May GS, Spanos CJ (2006) Fundamentals of semiconductor manufacturing and process control. Wiley, Hoboken

    Book  Google Scholar 

Download references

Acknowledgements

The prior support by the US-DOC NIST under the financial assistance number 70NANB14H227 and assistance by Dr. Shawn Moylan, Dr. Brandon Lane, and Dr. Alkan Donmez in designing and conducting experiments and acquiring in situ thermal and high frame rate videos are gratefully acknowledged.

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Correspondence to Tuğrul Özel.

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Yang, L., Lo, L., Ding, S. et al. Monitoring and detection of meltpool and spatter regions in laser powder bed fusion of super alloy Inconel 625. Prog Addit Manuf 5, 367–378 (2020). https://doi.org/10.1007/s40964-020-00140-8

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  • DOI: https://doi.org/10.1007/s40964-020-00140-8

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