Melt Pool Turbulence Effects on the Interface between Dissimilar Materials Manufactured by Directed Energy Deposition with Laser and Powder
Source abstract
Abstract
Directed energy deposition (DED) with laser and powder allows the manufacturing of multi-metallic near net shape structures, with control over the feedstock composition and intense liquid mixing of elements. To better understand the multi-physical aspects of the melt pool and strive toward local composition prediction, a 3D finite element model of the laser deposition of chromium on stainless steel has been developed. A modified v2-f model is implemented to investigate the effect of melt pool turbulence on heat, momentum, and mass transport. The model is formulated in the moving frame of the laser, which allows reducing the domain size and the computation time. Overlapping on previous tracks is included by updating the upstream face boundary conditions with the composition and free-surface shape of the calculated molten cross section. This allows for fast computation of the steady-state solution of the layer formation. Simulation results are compared to the composition analysis of a part containing an interface between chromium and stainless steel manufactured using a controlled atmosphere laser powder-DED system. The diffusive effects induced by turbulence are analyzed with regard to a laminar simulation and are found to have a significant impact on the maximum fluid velocity and temperature. Melt pool turbulence thickens the flow vortices and homogenizes the core of the melt pool, which is consistent with the experimental results. Chemical heterogeneities can be seen at the boundary with the substrate and are reviewed in light of the simulation results.
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Research context
OpenAlex topics: Additive Manufacturing Materials and Processes · Laser-induced spectroscopy and plasma · High-Temperature Coating Behaviors
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References (57)
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1. C. Schneider-Maunoury, L. Weiss, O. Perroud, D. Joguet, D. Boisselier and P. Laheurte, An Application of Differential Injection to Fabricate Functionally Graded Ti-Nb Alloys Using DED-CLAD® Process, J. Mater. Process. Technol., 2019, 268, p 171–180.10.1016/j.jmatprotec.2019.01.018 ↗
2. W. Li, F. Liou, J. Newkirk, K.M.B. Taminger, and W.J. Seufzer, Investigation on Ti6Al4V-V-Cr-Fe-SS316 Multi-Layers Metallic Structure Fabricated by Laser 3D Printing, Sci. Rep., 2017, 7(1), http://www.nature.com/articles/s41598-017-08580-z. Accessed 17 December 202010.1038/s41598-017-08580-z ↗
3. C. Li, S. Ma, X. Liu, J. Li and G. Le, Microstructures and Properties of 80W–20Fe Alloys Prepared Using Laser Melting Deposition Process, Int. J. Refract. Met. Hard Mater., 2018, 77, p 113–119. https://doi.org/10.1016/j.ijrmhm.2018.08.00510.1016/j.ijrmhm.2018.08.005 ↗
4. D.C. Hofmann, S. Roberts, R. Otis, J. Kolodziejska, R.P. Dillon, J. Suh, A.A. Shapiro, Z.-K. Liu and J.-P. Borgonia, Developing Gradient Metal Alloys Through Radial Deposition Additive Manufacturing, Sci. Rep., 2015 https://doi.org/10.1038/srep0535710.1038/srep05357 ↗
5. W. Meng, W. Zhang, W. Zhang, X. Yin, L. Guo and B. Cui, Additive Fabrication of 316L/Inconel625/Ti6Al4V Functionally Graded Materials by Laser Synchronous Preheating, Int. J. Adv. Manuf. Technol., 2019, 104(5–8), p 2525–2538. https://doi.org/10.1007/s00170-019-04061-x10.1007/s00170-019-04061-x ↗
6. A. Reichardt, R.P. Dillon, J.P. Borgonia, A.A. Shapiro, B.W. McEnerney, T. Momose and P. Hosemann, Development and Characterization of Ti-6Al-4V to 304L Stainless Steel Gradient Components Fabricated with Laser Deposition Additive Manufacturing, Mater. Des., 2016, 104, p 404–413. https://doi.org/10.1016/j.matdes.2016.05.01610.1016/j.matdes.2016.05.016 ↗
7. H. Dobbelstein, E.L. Gurevich, E.P. George, A. Ostendorf and G. Laplanche, Laser Metal Deposition of Compositionally Graded TiZrNbTa Refractory High-Entropy Alloys Using Elemental Powder Blends, Addit. Manuf., 2019, 25, p 252–262. https://doi.org/10.1016/j.addma.2018.10.04210.1016/j.addma.2018.10.042 ↗
8. N. Chen, H.A. Khan, Z. Wan, J. Lippert, H. Sun, S.-L. Shang, Z.-K. Liu and J. Li, Microstructural Characteristics and Crack Formation in Additively Manufactured Bimetal Material of 316L Stainless Steel and Inconel 625, Addit. Manuf., 2020, 32, 101037. https://doi.org/10.1016/j.addma.2020.10103710.1016/j.addma.2020.101037 ↗
9. L. Li, X. Zhang, W. Cui, F. Liou, W. Deng and W. Li, Temperature and Residual Stress Distribution of FGM Parts by DED Process: Modeling and Experimental Validation, Int. J. Adv. Manuf. Technol., 2020, 109(1), p 451–462. https://doi.org/10.1007/s00170-020-05673-410.1007/s00170-020-05673-4 ↗
10. Z. Gan, G. Yu, X. He and S. Li, Numerical Simulation of Thermal Behavior and Multicomponent Mass Transfer in Direct Laser Deposition of Co-Base Alloy on Steel, Int. J. Heat Mass Transf., 2017, 104, p 28–38. https://doi.org/10.1016/j.ijheatmasstransfer.2016.08.04910.1016/j.ijheatmasstransfer.2016.08.049 ↗
11. H.L. Wei, J. Mazumder and T. DebRoy, Evolution of Solidification Texture during Additive Manufacturing, Sci. Rep., 2015 https://doi.org/10.1038/srep1644610.1038/srep16446 ↗
12. V. Dhinakaran, M. Varsha Shree, T. Jagadeesha, P.M. Bupathi Ram, T. Sathish and B. Stalin, A Review on the Recent Developments in Modeling Heat and Material Transfer Characteristics During Welding, Mater. Today Proc., 2020, 21, p 908–911.10.1016/j.matpr.2019.08.079 ↗
13. H.L. Wei, T. Mukherjee, W. Zhang, J.S. Zuback, G.L. Knapp, A. De and T. DebRoy, Mechanistic Models for Additive Manufacturing of Metallic Components, Prog. Mater. Sci., 2021, 116, 100703. https://doi.org/10.1016/j.pmatsci.2020.10070310.1016/j.pmatsci.2020.100703 ↗
14. T. Chande and J. Mazumder, Mass Transport in Laser Surface Alloying: Iron-nickel System, Appl. Phys. Lett., 1982, 41(1), p 42–43. https://doi.org/10.1063/1.9331510.1063/1.93315 ↗
15. C.R. Heiple and J. R. Roper, Mechanism for Minor Element Effect on GTA Fusion Zone Geometry, Weld. J., 1982, 61(4), p 97–102.
16. G. Caillibotte, D. Kechemair and L. Sabatier, Velocity Measurements in Molten Pools during High-Power Laser Interaction with Metals, Int. Soc. Opt. Photon., 1991, 10(1117/12), p 43652.
17. S. Kou and Y.H. Wang, Three-Dimensional Convection in Laser Melted Pools, Metall. Trans. A, 1986, 17(12), p 2265–2270. https://doi.org/10.1007/BF0264592410.1007/BF02645924 ↗
18. H. Qi, H. Ki and J. Mazumder, Numerical Simulation of Multi-Material Laser Cladding by Coaxial Powder Injection, Int. Congr. Appl. Lasers Electro-Opt., 2004 https://doi.org/10.2351/1.506028610.2351/1.5060286 ↗
19. M. Picasso and A.F.A. Hoadley, Finite Element Simulation of Laser Surface Treatments Including Convection in the Melt Pool, Int. J. Numer. Methods Heat Fluid Flow, 1994, 4(1), p 61–83. https://doi.org/10.1108/EUM000000000403110.1108/EUM0000000004031 ↗
20. J.S. Zuback, G.L. Knapp, T.A. Palmer and T. DebRoy, Deposit Geometry and Oxygen Concentration Spatial Variations due to Composition Change in Printed Functionally Graded Components, Int. J. Heat Mass Transf., 2021, 164, 120526. https://doi.org/10.1016/j.ijheatmasstransfer.2020.12052610.1016/j.ijheatmasstransfer.2020.120526 ↗
21. H.L. Wei, F.Q. Liu, W.H. Liao and T.T. Liu, Prediction of Spatiotemporal Variations of Deposit Profiles and Inter-Track Voids during Laser Directed Energy Deposition, Addit. Manuf., 2020, 34, 101219. https://doi.org/10.1016/j.addma.2020.10121910.1016/j.addma.2020.101219 ↗
22. S. Liu, K.-M. Hong, C. Katinas and Y.C. Shin, Multiphysics Modeling of Phase Transformation and Microhardness Evolution in Laser Direct Deposited Ti6Al4V, J. Manuf. Process., 2019, 45, p 579–587. https://doi.org/10.1016/j.jmapro.2019.07.02710.1016/j.jmapro.2019.07.027 ↗
23. A. Kumar and S. Roy, Effect of Three-Dimensional Melt Pool Convection on Process Characteristics during Laser Cladding, Comput. Mater. Sci., 2009, 46, p 495–506. https://doi.org/10.1016/j.commatsci.2009.04.00210.1016/j.commatsci.2009.04.002 ↗
24. Z. Gan, G. Yu, X. He and S. Li, Surface-Active Element Transport and Its Effect on Liquid Metal Flow in Laser-Assisted Additive Manufacturing, Int. Commun. Heat Mass Transf., 2017, 86, p 206–214. https://doi.org/10.1016/j.icheatmasstransfer.2017.06.00710.1016/j.icheatmasstransfer.2017.06.007 ↗
25. Z. Gan, H. Liu, S. Li, X. He and G. Yu, Modeling of Thermal Behavior and Mass Transport in Multi-Layer Laser Additive Manufacturing of Ni-Based Alloy on Cast Iron, Int. J. Heat Mass Transf., 2017, 111, p 709–722. https://doi.org/10.1016/j.ijheatmasstransfer.2017.04.05510.1016/j.ijheatmasstransfer.2017.04.055 ↗
26. C. Katinas, S. Liu and Y.C. Shin, Self-Sufficient Modeling of Single Track Deposition of Ti–6Al–4V With the Prediction of Capture Efficiency, J. Manuf. Sci. Eng., 2019 https://doi.org/10.1115/1.404142310.1115/1.4041423 ↗
27. J. Zhao, G. Wang, X. Wang, S. Luo, L. Wang and Y. Rong, Multicomponent Multiphase Modeling of Dissimilar Laser Cladding Process with High-Speed Steel on Medium Carbon Steel, Int. J. Heat Mass Transf., 2020, 148, 118990. https://doi.org/10.1016/j.ijheatmasstransfer.2019.11899010.1016/j.ijheatmasstransfer.2019.118990 ↗
28. F. Wirth, Process Understanding, Modeling and Predictive Simulation of Laser Cladding, ETH Zurich, 2018, https://www.research-collection.ethz.ch/handle/20.500.11850/314396. Accessed 13 January 2021.
29. A. Ebrahimi, C.R. Kleijn and I.M. Richardson, Numerical Study of Molten Metal Melt Pool Behaviour during Conduction-Mode Laser Spot Melting, J. Phys. Appl. Phys., 2020, 54(10), p 105304.10.1088/1361-6463/abca62 ↗
30. G.L. Knapp, T. Mukherjee, J.S. Zuback, H.L. Wei, T.A. Palmer, A. De and T. DebRoy, Building Blocks for a Digital Twin of Additive Manufacturing, Acta Mater., 2017, 135, p 390–399. https://doi.org/10.1016/j.actamat.2017.06.03910.1016/j.actamat.2017.06.039 ↗
31. F. Wirth, S. Arpagaus and K. Wegener, Analysis of Melt Pool Dynamics in Laser Cladding and Direct Metal Deposition by Automated High-Speed Camera Image Evaluation, Addit. Manuf., 2018, 21, p 369–382. https://doi.org/10.1016/j.addma.2018.03.02510.1016/j.addma.2018.03.025 ↗
32. F. Wirth and K. Wegener, A Physical Modeling and Predictive Simulation of the Laser Cladding Process, Addit. Manuf., 2018, 22, p 307–319. https://doi.org/10.1016/j.addma.2018.05.01710.1016/j.addma.2018.05.017 ↗
33. P. Zhang, X. Zhou, X. Cheng, H. Sun, H. Ma and Y. Li, Elucidation of Bubble Evolution and Defect Formation in Directed Energy Deposition Based on Direct Observation, Addit. Manuf., 2020, 32, 101026. https://doi.org/10.1016/j.addma.2019.10102610.1016/j.addma.2019.101026 ↗
34. D. Chatterjee and S. Chakraborty, Large-Eddy Simulation of Laser-Induced Surface-Tension-Driven Flow, Metall. Mater. Trans. B, 2005, 36(6), p 743–754. https://doi.org/10.1007/s11663-005-0078-010.1007/s11663-005-0078-0 ↗
35. N. Chakraborty and S. Chakraborty, Modelling of Turbulent Molten Pool Convection in Laser Welding of a Copper–nickel Dissimilar Couple, Int. J. Heat Mass Transf., 2007, 50(9–10), p 1805–1822. https://doi.org/10.1016/j.ijheatmasstransfer.2006.10.03010.1016/j.ijheatmasstransfer.2006.10.030 ↗
36. N. Chakraborty, D. Chatterjee and S. Chakraborty, Modeling of Turbulent Transport in Laser Surface Alloying, Numer. Heat Transf. Part Appl., 2004, 46(10), p 1009–1032. https://doi.org/10.1080/1040778049051762910.1080/10407780490517629 ↗
37. G.C. Nzebuka, M.A. Waheed, S.I. Kuye and B.I. Olajuwon, Accounting for Melt Flow Pattern and Solid Fraction Evolution in DC Casting of Al-Cu Alloy Using v2 - F Turbulence Model, Metall. Mater. Trans. B, 2019, 50(2), p 866–880. https://doi.org/10.1007/s11663-018-01502-y10.1007/s11663-018-01502-y ↗
38. H.-G. Kim, I.-H. Kim, Y.-I. Jung, D.-J. Park, J.-Y. Park and Y.-H. Koo, Adhesion Property and High-Temperature Oxidation Behavior of Cr-Coated Zircaloy-4 Cladding Tube Prepared by 3D Laser Coating, J. Nucl. Mater., 2015, 465, p 531–539. https://doi.org/10.1016/j.jnucmat.2015.06.03010.1016/j.jnucmat.2015.06.030 ↗
39. D. Rajput, K. Lansford, L. Costa, W. Hofmeister, Molybdenum-on-Chromium Dual Coating on Steel, Surf. Coat. Technol. 203(9), 1281–1287 (2009). https://doi.org/10.1016/j.surfcoat.2008.10.02910.1016/j.surfcoat.2008.10.029 ↗
40. P.A. Durbin, Near-Wall Turbulence Closure Modeling without “damping Functions,” Theor. Comput. Fluid Dyn., 1991, 3(1), p 1–13. https://doi.org/10.1007/BF0027151310.1007/BF00271513 ↗
41. P.A. Durbin, Application of a Near-Wall Turbulence Model to Boundary Layers and Heat Transfer, Int. J. Heat Fluid Flow, 1993, 14(4), p 316–323. https://doi.org/10.1016/0142-727X(93)90004-710.1016/0142-727X(93)90004-7 ↗
42. K. Hanjalić, M. Popovac and M. Hadžiabdić, A Robust Near-Wall Elliptic-Relaxation Eddy-Viscosity Turbulence Model for CFD, Int. J. Heat Fluid Flow, 2004, 25(6), p 1047–1051. https://doi.org/10.1016/j.ijheatfluidflow.2004.07.00510.1016/j.ijheatfluidflow.2004.07.005 ↗
43. W.M. Kays, Turbulent Prandtl Number—Where are We?, J. Heat Transf., 1994, 116(2), p 284–295. https://doi.org/10.1115/1.291139810.1115/1.2911398 ↗
44. Diffusion of Chromium, Manganese and Nickel in Molten Iron Saturated with Carbon, n.d.
45. C. Alappat, A. Basermann, A.R. Bishop, H. Fehske, G. Hager, O. Schenk, J. Thies and G. Wellein, A Recursive Algebraic Coloring Technique for Hardware-Efficient Symmetric Sparse Matrix-Vector Multiplication, ACM Trans. Parallel Comput., 2020, 7(3), p 1–37.10.1145/3399732 ↗
46. P. Peyre, M. Dal, S. Pouzet and O. Castelnau, Simplified Numerical Model for the Laser Metal Deposition Additive Manufacturing Process, J. Laser Appl., 2017 https://doi.org/10.2351/1.498325110.2351/1.4983251 ↗
47. Y.K. Yang and S. Kou, Macrosegregation Mechanisms in Arc Welds Made with Dissimilar Filler Metals, Sci. Technol. Weld. Join., 2010, 15(1), p 15–30. https://doi.org/10.1179/136217109X45697910.1179/136217109X456979 ↗
48. G. Liu, S. Yang, J. Ding, W. Han, L. Zhou, M. Zhang, S. Zhou, R.D.K. Misra, F. Wan and C. Shang, Formation and Evolution of Layered Structure in Dissimilar Welded Joints between Ferritic-Martensitic Steel and 316L Stainless Steel with Fillers, J. Mater. Sci. Technol., 2019, 35(11), p 2665–2681. https://doi.org/10.1016/j.jmst.2019.05.04710.1016/j.jmst.2019.05.047 ↗
49. J.J. Valencia and P.N. Quested, Thermophysical Properties, Metals Process Simulation, D.U. Furrer and S.L. Semiatin, Eds., ASM International, 2010, p 18–32. http://dl.asminternational.org/handbooks/book/58/chapter/679431/Thermophysical-Properties10.31399/asm.hb.v22b.a0005523 ↗
50. K.C. Mills, Fe - 316 Stainless Steel Recommended Values of Thermophysical Properties for Selected Commercial Alloys, Woodhead, Cambridge, 2002, p 135–14210.1533/9781845690144 ↗
51. Y. Ono and S. Matsumoto, Diffusion of Chromium, Manganese, and Nickel in Molten Iron, Trans. Jpn. Inst. Met., 1975, 16(7), p 415–422. https://doi.org/10.2320/matertrans1960.16.41510.2320/matertrans1960.16.415 ↗
52. P. Lacombe, B. Baroux, G. Béranger, L. Colombier, and J. Hochmann, Les aciers inoxydables, (Les Ulis, France), Les Editions de Physique, 1990
53. S.V. Stankus, Density of Vanadium and Chromium at High Temperatures, Teplofiz. Vysok. Temp., 1993, 31(4), p 565–568.
54. E.A. Brandes, G.B. Brook, and C.J. Smithells, Eds., Smithells Metals Reference Book, 7th ed / edited by E.A. Brandes and G.B. Brook, (Oxford; Boston), Butterworth-Heinemann, 1998
55. D. Hipp, A. Mahrle and E. Beyer, Energy Coupling of Laser Radiation on AISI 304 Stainless Steel: Effect of High Temperatures and Surface Oxidation, Materials, 2019 https://doi.org/10.3390/ma1217280210.3390/ma12172802 ↗
56. P. Sahoo, T. Debroy and M.J. McNallan, Surface Tension of Binary Metal—surface Active Solute Systems under Conditions Relevant to Welding Metallurgy, Metall. Trans. B, 1988, 19(3), p 483–491. https://doi.org/10.1007/BF0265774810.1007/BF02657748 ↗
57. L. Battezzati and A.L. Greer, The Viscosity of Liquid Metals and Alloys, Acta Metall., 1989, 37(7), p 1791–1802. https://doi.org/10.1016/0001-6160(89)90064-310.1016/0001-6160(89)90064-3 ↗