Residual Stress Generation in Additive Manufacturing of Complex Lattice Geometries
Source abstract
Abstract
Abstract Residual stresses developed during additive manufacturing (AM) can influence the mechanical performance of structural components in their intended applications. In this study, thermomechanical residual stress simulations of the laser powder bed fusion (LPBF) process are conducted for both simplified (plate and cube-shaped) geometries as well as five complex lattice geometries fabricated with Inconel 718. These simulations are conducted with the commercial software package Simufact Additive©, which uses a nonlinear finite element analysis and layer-by-layer averaging approach in determining residual stresses. To verify the efficacy of the Simufact Additive© simulations, numerical results for the plate and cube-shape geometries are analyzed for convergence and compared to experimental residual stress results available in the literature. Numerical residual stress results are subsequently compared for five complex lattice geometries. Results suggest that lattice geometry can play a significant role in the distribution and magnitude of residual stresses, which are significant in some applications.
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Research context
OpenAlex topics: Additive Manufacturing Materials and Processes · Additive Manufacturing and 3D Printing Technologies · Welding Techniques and Residual Stresses
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References (28)
Show source-provided references
1. A.J. Leavitt, Anatomy of a Plane Crash, Capstone Press, Mankato, 2011, p 14–15. (in English)
2. A.F. El-Sayed, Foreign Object Debris and Damage in Aviation, Taylor & Francis Group, Milton, 2022. (in English)10.1201/9781003133087 ↗
3. I. Yadroitsev, I. Yadroitsava, A. Du Plessis, and E. MacDonald, Fundamentals of Laser Powder Bed Fusion of Metals, Elsevier, Cambridge, MA, 2021. (in English)
4. C. Leinenbach, Selective Laser Melting, EMPA: Materials Science and Technology, https://www.empa.ch/web/coating-competence-center/selective-laser-melting, 2022. Accessed 2022.
5. J. Gockel, L. Sheridan, B. Koerper, and B. Whip, The Influence of Additive Manufacturing Processing Parameters on Surface Roughness and Fatigue Life, Int. J. Fatigue, 2019, 124, p 380–388. (in English)10.1016/j.ijfatigue.2019.03.025 ↗
6. D. Spear, Evaluation of Additively Manufactured Lattices Under High Strain Rate Impact, Ph.D. Dissertation, Air Force Institute of Technology, 2021
7. D.G. Spear, A.N. Palazotto, and R.A. Kemnitz, First Cell Failure of Lattice Structure under Combined Axial and Buckling Load, in AIAA SciTech Forum, 2021 (in English)10.2514/6.2021-0101 ↗
8. J.L. Bartlett and X. Li, An Overview of Residual Stresses in Metal Powder Bed Fusion, Addit. Manuf., 2019, 27, p 131–149. https://doi.org/10.1016/j.addma.2019.02.02010.1016/j.addma.2019.02.020 ↗
9. L.J. Gibson and M.F. Ashby, Cellular Solids: Structure and Properties, 2nd ed. Cambridge University Press, London, 1999.
10. A. Kennedy. Porous Metals and Metal Foams Made from Powders. In Powder Metallurgy. InTech, 3, 201210.5772/33060 ↗
11. The MathWorks, Inc. 2023. MATLAB version: 9.9 (R2020b). Accessed: October 15, 2020. Available: https://www.mathworks.com.
12. M.R. Hill, Determination of Residual Stress Based on the Estimation of Eigenstrain, Ph.D. Dissertation, Stanford University (1996)
13. E. Salvati, A. Lunt, S. Ying, T. Sui, H. Zhang, C. Heason, G. Baxter, and A. Korsunsky, Eigenstrain Reconstruction of Residual Strains in an Additively Manufactured and Shot Peened Nickel Superalloy Compressor Blade, Comput. Methods Appl. Mech. Eng., 2017, 320, p 335–351. (in English)10.1016/j.cma.2017.03.005 ↗
14. M. Bugatti and Q. Semeraro, Limitations of the Inherent Strain Method in Simulating Powder Bed Fusion Processes, Addit. Manuf., 2018, 23, p 329–346. (in English)
15. A.M. Korsunsky, “A Teaching Essay on Residual Stresses and Eigenstrains, Butterworth-Heinemann an imprint of Elsevier, Oxford, 2017. (in English)
16. B. Ahmad, S.O. van der Veen, M.E. Fitzpatrick, and H. Guo, Residual Stress Evaluation in Selective-Laser-Melting Additively Manufactured Titanium (Ti-6Al-4V) and Inconel 718 Using the Contour Method and Numerical Simulation, Addit. Manuf., 2018, 22, p 571–582. (in English)
17. B.P. Croom, C. Bumgardner, and X. Li, Unveiling Residual Stresses in air Plasma Spray Coatings by Digital Image Correlation, Extreme Mech. Lett., 2016, 7, p 126–135. https://doi.org/10.1016/j.eml.2016.02.01310.1016/j.eml.2016.02.013 ↗
18. J.L. Bartlett, B.P. Croom, J. Burdick, D. Henkel, and X. Li, Revealing Mechanisms of Residual Stress Development in Additive Manufacturing Via Digital Image Correlation, Addit. Manuf., 2018, 22, p 1–12. https://doi.org/10.1016/j.addma.2018.04.02510.1016/j.addma.2018.04.025 ↗
19. T.-S. Jun and A.M. Korsunsky, Evaluation of Residual Stresses and Strains Using the Eigenstrain Reconstruction Method, Int. J. Solids Struct., 2010, 47(13), p 1678–1686. (in English)10.1016/j.ijsolstr.2010.03.002 ↗
20. M.P. Fransen, Eigenstrain Reconstruction of Residual Stresses Induced by Selective Laser Melting, Delft University of Technology,” Master of Science Thesis, 2016 (in English)
21. N. Levkulich, S. Semiatin, J. Gockel, J. Middendorf, A. DeWald, and N. Klingbeil, The Effect of Process Parameters on Residual Stress Evolution and Distortion in the Laser Powder Bed Fusion of Ti-6Al-4V, Addit. Manuf., 2019, 28, p 475–484. (in English)
22. J.L. Bartlett, F.M. Heim, Y.V. Murty, and X. Li, In Situ Defect Detection in Selective Laser Melting Via Full-Field Infrared Thermography, Addit. Manuf., 2018, 24, p 595–605. https://doi.org/10.1016/j.addma.2018.10.04510.1016/j.addma.2018.10.045 ↗
23. O. Holzmond and X. Li, In Situ Real Time Defect Detection of 3D Printed Parts, Addit. Manuf., 2017, 17, p 135–142. https://doi.org/10.1016/j.addma.2017.08.00310.1016/j.addma.2017.08.003 ↗
24. J.L. Bartlett, A. Jarama, J.B. Jones, and X. Li, Prediction of Microstructural Defects in Additive Manufacturing from Powder Bed Quality Using Digital Image Correlation, Mater. Sci. Eng. A Struct. Mater. Propert. Microstruct. Process., 2020, 794, p 140002–140002. https://doi.org/10.1016/j.msea.2020.14000210.1016/j.msea.2020.140002 ↗
25. Hexagon, Simufact Additive© 2021.1, 2021
26. N. Elenskaya and M. Tashkinov, Modeling of Deformation Behavior of Gyroid and I-WP Polymer Lattice Structures with a Porosity Gradient, Proc. Struct. Integr., 2021, 32, p 253–260. (in English)
27. Simufact Additive, InfoSheet: Process Properties, 2022
28. R. Motallebi, Z. Savaedi, and H. Mirzadeh, Additive Manufacturing—A Review of Hot Deformation Behavior and Constitutive Modeling of Flow Stress, Curr. Opin. Solid State Mater. Sci., 2022, 26, p 100992. (in English)10.1016/j.cossms.2022.100992 ↗