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A Hybrid Method for the Online Evaluation of Stress Fields in Metal Additive Manufacturing

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Abstract

Background

Metal additive manufacturing has extensive application prospects in the aerospace, precision instrument, and biomedical fields, etc. However, the low manufacturing quality of key components is a bottleneck restricting the further development and application of this technology. Because of the extremely complex manufacturing environment, a real-time and online monitoring technology for the manufacturing quality remains lacking.

Objective

For laser engineered net shaping (LENS), a mainstream technology of metal additive manufacturing, a hybrid method for the online evaluation of stress fields during laser cladding is developed in this paper that combines the real-time measured temperature field, three-dimensional deformation field and finite element method.

Methods

The proposed method first designed the synchronous measurement optical paths of the temperature field and three-dimensional deformation field of the substrate, and the positions of the temperature and deformation field images were matched. A finite element model was established based on the printing parameters such as the layer thickness and printing speed, and the temperature field and three-dimensional deformation field synchronously measured at each moment were incorporated into the model as boundary conditions to obtain the deformation and stress information inside the model.

Results

We compared the stress field obtained at the end of printing with the XRD (X-ray diffraction) measurement results to verify the effectiveness of the proposed method. The proposed method can obtain the three-dimensional stress distribution and evolution of the substrate and printed component.

Conclusion

The proposed method can realize the online characterization of the three-dimensional stress field in the LENS printing process and provide important experimental guidance and data for the quality control of 3D printing.

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References

  1. Edgar J, Tint S (2015) Additive manufacturing technologies: 3D printing, rapid prototyping, and direct digital manufacturing. Johnson Matthey Technology Review 59(3): 193–198. https://doi.org/10.1595/205651315X688406

  2. Basso li E, Gatto A, Iuliano L, Grazia Violante, (2007) 3D printing technique applied to rapid casting. Rapid Prototyp J 1(3):148–155. https://doi.org/10.1108/13552540710750898

    Article  Google Scholar 

  3. Lam CXF, Mo X, Teoh SH, Hutmacher D (2002) Scaffold development using 3D printing with a starch-based polymer. Mater Sci Eng C 20:49–56. https://doi.org/10.1016/S0928-4931(02)00012-7

    Article  Google Scholar 

  4. Lipson H (2013) Fabricated: The new world of 3D printing. John Wiley & Sons

    Google Scholar 

  5. Murphy SV, Atala A (2014) 3D bioprinting of tissues and organs. 32(8): 773–785. https://doi.org/10.1038/nbt.2958

  6. Melcher R, Martins S, Travitzky N (2006) Fabrication of Al2O3-based composites by indirect 3D-printing. Mater Lett 60(4):572–575. https://doi.org/10.1016/j.matlet.2005.09.059

    Article  Google Scholar 

  7. Herrmann KH (2014) 3D printing of MRI compatible components: Why every MRI research group should have a low-budget 3D printer. Med Eng Phys 36(10):1373–1380. https://doi.org/10.1016/j.medengphy.2014.06.008

    Article  Google Scholar 

  8. Balla VK, DeVasConCellos PD, Xue W (2009) Fabrication of compositionally and structurally graded Ti–TiO2 structures using laser engineered net shaping (LENS). Acta Biomater 5(5):1831–1837. https://doi.org/10.1016/j.actbio.2009.01.011

    Article  Google Scholar 

  9. Abd-Elghany K, Bourell DL (2012) Property evaluation of 304L stainless steel fabricated by selective laser melting. Rapid Prototyp J 18(5):420–428. https://doi.org/10.1108/13552541211250418

    Article  Google Scholar 

  10. Brückner F, Lepski D, Beyer E (2007) Modeling the influence of process parameters and additional heat sources on residual stresses in laser cladding. J Therm Spray Technol 16(3):355–373. https://doi.org/10.1007/s11666-007-9026-7

    Article  Google Scholar 

  11. Schmaltz K, Zarzalejo L, Amon CH (1999) Molten droplet solidification and substrate remelting in microcasting Part II: Parametric study and effect of dissimilar materials. Heat Mass Transf 35(1):17–23. https://doi.org/10.1007/s002310050293

    Article  Google Scholar 

  12. Zhou S, Zeng, X Hu, Q Huang. (2008) Analysis of crack behavior for Ni-based WC composite coatings by laser cladding and crack-free realization. 255(5p1): 1646–1653. https://doi.org/10.1016/j.apsusc.2008.04.003

  13. Xu JS, Zhang XC, Xuan FZ (2013) Tensile properties and fracture behavior of laser cladded WC/Ni composite coatings with different contents of WC particle studied by in-situ tensile testing 560:744–751. https://doi.org/10.1016/j.msea.2012.10.028

    Article  Google Scholar 

  14. Dubois M, Militzer M, Moreau A (2000) A new technique for the quantitative real-time monitoring of austenite grain growth in steel. Scr Mater 42(9):867–874. https://doi.org/10.1016/S1359-6462(00)00305-5

  15. Heigel J C, Lane B M, Levine L E. (2020) In situ measurements of melt-pool length and cooling rate during 3D builds of the metal AM-bench artifacts [J]. Integr Mater Manuf Innov 9(1): 31–53. https://doi.org/10.1007/s40192-020-00170-8

  16. Lane B, Heigel J, Ricker R (2020) Measurements of melt pool geometry and cooling rates of individual laser traces on IN625 bare plates [J] Integr Mater Manuf Innov 1–15 https://doi.org/10.1007/s40192-020-00169-1

  17. Zheng L, Zhang Q, Cao H (2019) Melt pool boundary extraction and its width prediction from infrared images in selective laser melting [J]. Mater Des 183:108110. https://doi.org/10.1016/j.matdes.2019.108110

    Article  Google Scholar 

  18. Bernhard R, Neef P, Wiche H (2020) Defect detection in additive manufacturing via a toolpath overlaid melt-pool-temperature tomography [J]. J Laser Appl 32(2): 022055. https://doi.org/10.2351/7.0000055

  19. Bisht M, Ray N, Verbist F, et al (2018) Correlation of selective laser melting-melt pool events with the tensile properties of Ti-6Al-4V ELI processed by laser powder bed fusion [J]. Addit Manuf. 22: 302–306. https://doi.org/10.1016/j.addma.2018.05.004

  20. Tapia G, Elwany A (2014) A review on process monitoring and control in metal-based additive manufacturing. J Manuf Sci Eng 136(6): 060801. https://doi.org/10.1115/1.4028540

  21. Shiomi M (2004) Residual stress within metallic model made by selective laser melting process. CIRP Ann 1(53):195–198. https://doi.org/10.1016/S0007-8506(07)60677-5

    Article  Google Scholar 

  22. Belle LV, Vansteenkiste G (2013) Investigation of Residual Stresses Induced during the Selective Laser Melting Process Key Eng Mater 554–557 2 1828 1834 https://doi.org/10.4028/www.scientific.net/KEM.554-557.1828

  23. Yakout M , Elbestawi M A , Veldhuis S C (2020) A study of the relationship between thermal expansion and residual stresses in selective laser melting of Ti-6Al-4V[J]. J Manuf Process 52:181–192. https://doi.org/10.1016/j.jmapro.2020.01.039

  24. Wang L, Jiang X, Zhu Y (2018) An approach to predict the residual stress and distortion during the selective laser melting of AlSi10Mg parts[J]. Int J Adv Manuf Technol. https://doi.org/10.1007/s00170-018-2207-3

    Article  Google Scholar 

  25. Krauss H , Zeugner T , Zaeh M F (2014) Layerwise Monitoring of the Selective Laser Melting Process by Thermography[J]. Phys Procedia 56: 64–71. https://doi.org/10.1016/j.phpro.2014.08.097

  26. Yang X, Liu Z, Xie H (2012) A real time deformation evaluation method for surface and interface of thermal barrier coatings during 1100 C thermal shock. Meas Sci Technol 23(10): 105604. https://doi.org/10.1088/0957-0233/23/10/105604

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Acknowledgements

This work was financially supported by the National Key Research and Development Program of China (Grant No.2017YFB1103900), National Natural Science Foundation of China(11972084),National Science and Technology Major Project (2017-VI-0003-0073),Beijing Institute of Spacecraft Environment Engineering (CAST-BISEE2019-010), and Beijing Natural Science Foundation (1192014).

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Correspondence to Z. W. Liu.

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Zeng, G.Z., Zu, R.L., Wu, D.L. et al. A Hybrid Method for the Online Evaluation of Stress Fields in Metal Additive Manufacturing. Exp Mech 61, 1261–1270 (2021). https://doi.org/10.1007/s11340-021-00735-4

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