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Online monitoring of 3D printing of steel via optical emission spectroscopy

  • Giuseppe Pignatelli

    Giuseppe Pignatelli (M.Sc. in Science and Engineering of Materials) was born in 1987, obtained a bachelor and master’s degree in material science, and is a Ph.D. scholar at BAM institutes, Berlin, with a project about online optical monitoring of metal additive manufacturing.

    , Anne Strasse

    Anne Strasse (M.Sc. in Production Engineering) was born in 1985 and is a research assistant at BAM working on in-situ monitoring of defect formation during the laser metal deposition process.

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    , Andrey Gumenyuk

    Andrey Gumenyuk (Ph.D. in engineering from the Technical University of Aachen) was born in 1970 and is a group leader at BAM of the "Laser Beam and Hybrid Welding" group.

    and Igor Gornushkin

    Igor Gornushkin (Ph.D. in chemistry from the University of Florida) was born in 1958 and is a senior scientist at BAM in the group of chemical and optical sensors.

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Published/Copyright: February 21, 2022
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Abstract

Additive manufacturing by laser metal deposition (LMD) requires continuous online monitoring to ensure quality of printed parts. Optical emission spectroscopy (OES) is proposed for the online detection of printing defects by monitoring minute variations in the temperature of a printed spot during laser scan. A two-lens optical system is attached to a moving laser head and focused on a molten pool created on a substrate during LMD. The light emitted by the pool is collected by an ultraviolet–visible (UV–vis) spectrometer and processed. Two metrics are used to monitor variations in the surface temperature: the spectrally integrated emission intensity and correlation coefficient. The variations in the temperature are introduced by artificial defects, shallow grooves, and holes of various widths and diameters carved on a substrate surface. The metrics show sufficient sensitivity for revealing the surface defects, except for the smallest holes with an under-millimeter diameter. Additionally, numeric simulations are carried out for the detection of emission in the UV–vis and near-infrared (NIR) spectral ranges at various surface temperatures. It is concluded that both the metrics perform better in the NIR range. In general, this work demonstrates that spectrally resolved OES suits well for monitoring surface defects during 3D metal printing.


Corresponding author: Igor Gornushkin, BAM Federal Institute for Materials Research and Testing, Berlin, Germany, E-mail:

About the authors

Giuseppe Pignatelli

Giuseppe Pignatelli (M.Sc. in Science and Engineering of Materials) was born in 1987, obtained a bachelor and master’s degree in material science, and is a Ph.D. scholar at BAM institutes, Berlin, with a project about online optical monitoring of metal additive manufacturing.

Anne Strasse

Anne Strasse (M.Sc. in Production Engineering) was born in 1985 and is a research assistant at BAM working on in-situ monitoring of defect formation during the laser metal deposition process.

Andrey Gumenyuk

Andrey Gumenyuk (Ph.D. in engineering from the Technical University of Aachen) was born in 1970 and is a group leader at BAM of the "Laser Beam and Hybrid Welding" group.

Igor Gornushkin

Igor Gornushkin (Ph.D. in chemistry from the University of Florida) was born in 1958 and is a senior scientist at BAM in the group of chemical and optical sensors.

Acknowledgement

The authors cordially thank Drs. Simon Altenburg, Nils Scheuschner, Christiane Maierhofer, and other colleagues from the ProMoAM project for their crucial contribution to this work. G.P. also acknowledges the research opportunities to fulfil his doctorate. I.G. and G.P. acknowledge Prof. Dr. U. Panne and Dr. K. Rurack for their support in this work.

  1. Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.

  2. Research funding: This research has been funded by BAM within the focus area Material under BAM’s ProMoAM project.

  3. Conflict of interest statement: The authors declare no conflicts of interest regarding this article.

References

[1] Additive manufacturing—general principles—terminology, ISO/ASTM Standard No. 52900, December 2015, Available: https://www.iso.org/standard/69669.html.Search in Google Scholar

[2] R. Kleer and F. T. Piller, “Local manufacturing and structural shifts in competition: market dynamics of additive manufacturing,” Int. J. Prod. Econ., vol. 216, pp. 23–34, 2019, https://doi.org/10.1016/j.ijpe.2019.04.019.Search in Google Scholar

[3] S. K. Everton, M. Hirsch, P. Stravroulakis, R. K. Leach, and A. T. Clare, “Review of in-situ process monitoring and in-situ metrology for metal additive manufacturing,” Mater. Des., vol. 95, pp. 431–445, 2016, https://doi.org/10.1016/j.matdes.2016.01.099.Search in Google Scholar

[4] A. Marko, J. Raute, D. Linaschke, B. Graf, and M. Rethmeier, “Porosity of LMD manufactured parts analyzed by Archimedes method and CT,” Mater. Test., vol. 60, no. 11, pp. 1055–1060, 2018, https://doi.org/10.3139/120.111232.Search in Google Scholar

[5] B. Dutton, W. Vesga, J. Waller, S. James, and M. Seifi, “Metal additive manufacturing defect formation and nondestructive evaluation detectability,” in Structural Integrity of Additive Manufactured Parts, N. Shamsaei, S. Daniewicz, N. Hrabe, S. Beretta, J. Waller, and M. Seifi, Eds., West Conshohocken, PA, ASTM International, 2020, pp. 1–50.10.1520/STP162020180136Search in Google Scholar

[6] T. Emel and O. O. Ojo, “Defects and post-manufacturing processes of additively manufactured steels: a review (part 2),” Mater. Test., vol. 62, no. 8, pp. 835–848, 2020, https://doi.org/10.3139/120.111508.Search in Google Scholar

[7] N. Scheuschner, S. J. Altenburg, G. Pignatelli, et al.., “Comparison of the bead temperature measurements during additive manufacturing of metals via IR spectroscopy and thermography,” Tech. Mess., vol. 88, no. 10, pp. 626–632, 2021 (in German), https://doi.org/10.1515/teme-2021-0056.Search in Google Scholar

[8] T. Hua, C. Jing, L. Xin, Z. Fengying, and H. Weidong, “Research on molten pool temperature in the process of laser rapid forming,” J. Mater. Process. Technol., vol. 198, nos. 1–3, pp. 454–462, 2008, https://doi.org/10.1016/j.jmatprotec.2007.06.090.Search in Google Scholar

[9] M. L. Griffith, M. E. Schlienger, L. D. Harwell, et al.., “Understanding thermal behavior in the LENS process,” Mater. Des., vol. 20, nos. 2–3, pp. 107–113, 1999, https://doi.org/10.1016/s0261-3069(99)00016-3.Search in Google Scholar

[10] S. J. Altenburg, A. Straße, A. Gumenyuk, and C. Maierhofer, “In-situ monitoring of a laser metal deposition (LMD) process: comparison of MWIR, SWIR and high-speed NIR thermography,” Quant. InfraRed Thermogr. J., vol. 17, pp. 1–18, 2020, https://doi.org/10.1080/17686733.2020.1829889.Search in Google Scholar

[11] A. R. Nassar, T. J. Spurgeon, and E. W. Reutzel, “Sensing defects during directed-energy additive manufacturing of metal parts using optical emissions spectroscopy,” in 25th International Solid Freeform Fabrication Symposium, Austin, TX, USA, 2014.Search in Google Scholar

[12] L. Song, W. Huang, X. Han, and J. Mazumder, “Real-Time composition monitoring using support vector regression of laser-induced plasma for laser additive manufacturing,” IEEE Trans. Ind. Electron., vol. 64, no. 1, pp. 633–642, 2017, https://doi.org/10.1109/tie.2016.2608318.Search in Google Scholar

[13] C. B. Stutzman, A. R. Nassar, and E. W. Reutzel, “Multi-sensor investigations of optical emissions and their relations to directed energy deposition processes and quality,” Addit. Manuf., vol. 21, pp. 333–339, 2018, https://doi.org/10.1016/j.addma.2018.03.017.Search in Google Scholar

[14] K. Bartkowiak, “Direct laser deposition process within spectrographic analysis in situ,” Phys. Proc., vol. 5, pp. 623–629, 2010, https://doi.org/10.1016/j.phpro.2010.08.090.Search in Google Scholar

[15] A. Kisielewicz, E. Sadeghi, F. Sikström, A.-K. Christiansson, G. Palumbo, and A. Ancona, “In-process spectroscopic detection of chromium loss during directed energy deposition of alloy 718,” Mater. Des., vol. 186, pp. 1–9, 2020, https://doi.org/10.1016/j.matdes.2019.108317.Search in Google Scholar

[16] W. Ren, Z. Zhang, Y. Lu, G. Wen, and J. Mazumder, “In-situ monitoring of laser additive manufacturing for al7075 alloy using emission spectroscopy and plume imaging,” IEEE Access, vol. 9, pp. 61671–61679, 2021, https://doi.org/10.1109/access.2021.3074703.Search in Google Scholar

[17] J. R. Taylor, Introduction to Error Analysis: The Study of Uncertainties in Physical Measurements, California, USA, University Science Books, Mill Valley, 1997.Search in Google Scholar

[18] I. Gornushkin, G. Pignatelli, and A. Straße, “Optical detection of defects during laser metal deposition: simulations and Experiment,” Appl. Surf. Sci., vol. 570, pp. 151–214, 2021, https://doi.org/10.1016/j.apsusc.2021.151214.Search in Google Scholar

Published Online: 2022-02-21
Published in Print: 2022-01-27

© 2021 Walter de Gruyter GmbH, Berlin/Boston

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