Multi-Resolution SPH Simulation of a Laser Powder Bed Fusion Additive Manufacturing Process
Source abstract
Abstract
This paper presents an efficient mesoscale simulation of a Laser Powder Bed Fusion (LPBF) process using the Smoothed Particle Hydrodynamics (SPH) method. The efficiency lies in reducing the computational effort via spatial adaptivity, for which a dynamic particle refinement pattern with an optimized neighbor-search algorithm is used. The melt pool dynamics is modeled by resolving the thermal, mechanical, and material fields in a single laser track application. After validating the solver by two benchmark tests where analytical and experimental data are available, we simulate a single-track LPBF process by adopting SPH in multi resolutions. The LPBF simulation results show that the proposed adaptive refinement with and without an optimized neighbor-search approach saves almost 50% and 35% of the SPH calculation time, respectively. This achievement enables several opportunities for parametric studies and running high-resolution models with less computational effort.
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Research context
OpenAlex topics: Particle Dynamics in Fluid Flows · Fluid Dynamics and Heat Transfer · Fluid Dynamics Simulations and Interactions
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Institute of Machine Tools & Manufacturing, ETH Zürich, Leonhardstrasse 21, 8092 Zürich, Switzerland
Innovative Machine Tools & Manufacturing, Inspire AG, Technoparkstrasse 1, 8005 Zürich, Switzerland
Advanced Manufacturing Laboratory, ETH Zürich, Technoparkstrasse 1, 8005 Zürich, Switzerland
References (59)
Show source-provided references
1. Laser additive manufacturing of metallic components: Materials, processes and mechanisms10.1179/1743280411Y.0000000014 ↗
2. Laser powder bed fusion additive manufacturing of metals; physics, computational, and materials challenges10.1063/1.4937809 ↗
3. Lachmayer, R., Lippert, R.B., and Fahlbusch, T. (2016). 3D-Druck beleuchtet. Additive Manufacturing auf dem Weg in die Anwendung, Springer.10.1007/978-3-662-49056-3 ↗
4. The present and future of additive manufacturing in the aerospace sector: A review of important aspects10.1177/0954410014568797 ↗
5. Liu, R., Wang, Z., Sparks, T., Liou, F., and Newkirk, J. (2017). Aerospace applications of laser additive manufacturing. Laser Additive Manufacturing, Elsevier.10.1016/B978-0-08-100433-3.00013-0 ↗
6. Wohlers, T.T. (2014). Wohlers Report…: 3D Printing and Additive Manufacturing, State of the Industry, Annual Worldwide Progress Report, Wohlers Associates Incorporated.
7. Francis, M.P., Kemper, N., Maghdouri-White, Y., and Thayer, N. (2018). Additive manufacturing for biofabricated medical device applications. Additive Manufacturing, Elsevier.10.1016/B978-0-12-812155-9.00009-8 ↗
8. Investigations on residual stresses and deformations in selective laser melting10.1007/s11740-009-0192-y ↗
9. Mesoscopic simulation of selective beam melting processes
10. Laser powder-bed fusion additive manufacturing: Physics of complex melt flow and formation mechanisms of pores, spatter, and denudation zones10.1016/j.actamat.2016.02.014 ↗
11. Simulation of laser beam melting of steel powders using the three-dimensional volume of fluid method10.1016/j.phpro.2013.03.162 ↗
12. Mesoscopic simulation model of selective laser melting of stainless steel powder10.1016/j.jmatprotec.2014.06.001 ↗
13. Lee, Y., and Zhang, W. (2015, January 10–12). Mesoscopic Simulation of Heat Transfer and Fluid Flow in Laser Powder Bed Additive Manufacturing. Proceedings of the 26th Solid Freeform Fabrication Symposium, Austin, TX, USA.10.1016/j.addma.2016.05.003 ↗
14. Simulation of melt pool behaviour during additive manufacturing: Underlying physics and progress
15. Modeling of heat transfer, fluid flow and solidification microstructure of nickel-base superalloy fabricated by laser powder bed fusion
16. Influence of thermodynamics within molten pool on migration and distribution state of reinforcement during selective laser melting of AlN/AlSi10Mg composites10.1016/j.ijmachtools.2015.10.004 ↗
17. Molten pool behaviour and its physical mechanism during selective laser melting of TiC/AlSi10Mg nanocomposites: Simulation and experiments10.1088/0022-3727/48/3/035303 ↗
18. Fluid and particle dynamics in laser powder bed fusion10.1016/j.actamat.2017.09.051 ↗
19. A numerical approach to the testing of the fission hypothesis10.1086/112164 ↗
20. Smoothed particle hydrodynamics: Theory and application to non-spherical stars10.1093/mnras/181.3.375 ↗
21. Metal cutting simulations using smoothed particle hydrodynamics on the GPU10.1007/s00170-019-03410-0 ↗
22. GPU-accelerated meshfree simulations for parameter identification of a friction model in metal machining10.1016/j.ijmecsci.2020.105571 ↗
23. Meshless single grain cutting simulations on the GPU
24. Afrasiabi, M., Klippel, H., Roethlin, M., and Wegener, K. (2021). Smoothed Particle Hydrodynamics Simulation of Orthogonal Cutting with Enhanced Thermal Modeling. Appl. Sci., 11.10.3390/app11031020 ↗
25. Afrasiabi, M., Klippel, H., Roethlin, M., and Wegener, K. (2020, January 19–24). Parameter Identification of a Friction Model in Metal Cutting Simulations with GPU-Accelerated Meshfree Methods. Proceedings of the 14th World Congress on Computational Mechanics, Paris, France.10.23967/wccm-eccomas.2020.273 ↗
26. Thermomechanically coupled conduction mode laser welding simulations using smoothed particle hydrodynamics10.1007/s40571-016-0140-5 ↗
27. Numerical simulation of TIG weld pool dynamics using smoothed particle hydrodynamics10.1016/j.ijheatmasstransfer.2017.08.060 ↗
28. Numerical simulation of Laser Fusion Additive Manufacturing processes using the SPH method10.1016/j.cma.2018.06.033 ↗
29. Numerical modeling of thermo-mechanically induced stress in substrates for droplet-based additive manufacturing processes10.1115/1.4043254 ↗
30. A Particle Strength Exchange Method for Metal Removal in Laser Drilling10.1016/j.procir.2018.03.287 ↗
31. Afrasiabi, M., and Wegener, K. (2020). 3D Thermal Simulation of a Laser Drilling Process with Meshfree Methods. J. Manuf. Mater. Process., 4.10.3390/jmmp4020058 ↗
32. Generating virtual process maps of SLM using powder-scale SPH simulations10.1007/s40571-019-00296-3 ↗
33. Meshfree simulation of metal cutting: An updated Lagrangian approach with dynamic refinement10.1016/j.ijmecsci.2019.06.045 ↗
34. Smoothed particle hydrodynamics10.1146/annurev.aa.30.090192.002551 ↗
35. Piecewise polynomial, positive definite and compactly supported radial functions of minimal degree10.1007/BF02123482 ↗
36. Smoothed particle hydrodynamics (SPH): An overview and recent developments10.1007/s11831-010-9040-7 ↗
37. A multi-phase SPH method for macroscopic and mesoscopic flows10.1016/j.jcp.2005.09.001 ↗
38. Analysis of free-surface flows through energy considerations: Single-phase versus two-phase modeling10.1103/PhysRevE.93.053113 ↗
39. Conduction modelling using smoothed particle hydrodynamics10.1006/jcph.1998.6118 ↗
40. Contemporary Meshfree Methods for Three Dimensional Heat Conduction Problems10.1007/s11831-019-09355-7 ↗
41. Model of radiation and heat transfer in laser-powder interaction zone at selective laser melting10.1115/1.3109245 ↗
42. Free-surface flows solved by means of SPH schemes with numerical diffusive terms10.1016/j.cpc.2009.11.002 ↗
43. Theoretical considerations on the free-surface role in the smoothed-particle-hydrodynamics model10.1103/PhysRevE.79.056701 ↗
44. Becker, M., and Teschner, M. (2007, January 2–4). Weakly compressible SPH for free surface flows. Proceedings of the 2007 ACM SIGGRAPH/Eurographics Symposium on Computer Animation, San Diego, CA, USA.
45. Afrasiabi, M., and Mohammadi, S. (2009, January 25–27). Analysis of bubble pulsations of underwater explosions by the smoothed particle hydrodynamics method. Proceedings of the ECCOMAS International Conference on Particle Based Methods, Spain, Barcelona.
46. Thermal simulation in multiphase incompressible flows using coupled meshfree and particle level set methods10.1016/j.cma.2018.03.021 ↗
47. Afrasiabi, M., Roethlin, M., Chatzi, E., and Wegener, K. (2018, January 11–15). A Robust Particle-Based Solver for Modeling Heat Transfer in Multiphase Flows. Proceedings of the ECCM-ECFD, Glasgow, UK.
48. A continuum method for modeling surface tension10.1016/0021-9991(92)90240-Y ↗
49. A new surface-tension formulation for multi-phase SPH using a reproducing divergence approximation10.1016/j.jcp.2010.03.022 ↗
50. A numerical method for solving two-dimensional problems of heat conduction with change of phase
51. Smoothed particle hydrodynamics10.1088/0034-4885/68/8/R01 ↗
52. Dynamic refinement and boundary contact forces in SPH with applications in fluid flow problems10.1002/nme.2010 ↗
53. Variable resolution for SPH in three dimensions: Towards optimal splitting and coalescing for dynamic adaptivity10.1016/j.cma.2015.11.021 ↗
54. Afrasiabi, M. (2020). Thermomechanical Simulation of Manufacturing Processes Using GPU-Accelerated Particle Methods. [Ph.D. Thesis, ETH Zurich].
55. Heat transfer and fluid flow during laser spot welding of 304 stainless steel10.1088/0022-3727/36/12/306 ↗
56. Surface tension of binary metal—Surface active solute systems under conditions relevant to welding metallurgy10.1007/BF02657748 ↗
57. Simulations of Laser Assisted Additive Manufacturing by Smoothed Particle Hydrodynamics10.1016/j.cma.2020.113491 ↗
58. A smoothed particle hydrodynamics model for laser beam melting of Ni-based alloy 71810.1016/j.camwa.2018.10.020 ↗
59. On the shape of a set of points in the plane10.1109/TIT.1983.1056714 ↗