Uncovering grain and subgrain microstructure at the scale of additive manufacturing melt tracks with a scalable cellular automaton solidification model
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Research context
OpenAlex topics: Additive Manufacturing and 3D Printing Technologies · Additive Manufacturing Materials and Processes · Aluminum Alloy Microstructure Properties
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References (77)
Show source-provided references
1. Additive manufacturing of metallic components – process, structure and properties10.1016/j.pmatsci.2017.10.001 ↗
2. 3D Monte Carlo simulation: effects of the scanning strategy on the grain evolution of AISI 304 powder by laser melting deposition10.1557/s43578-023-00923-z ↗
3. Simulation of powder bed metal additive manufacturing microstructures with coupled finite difference-Monte Carlo method
4. Phase-field modeling of grain evolutions in additive manufacturing from nucleation, growth, to coarsening
5. Insight into the mechanisms of columnar to equiaxed grain transition during metallic additive manufacturing
6. Phase field simulation of powder bed-based additive manufacturing10.1016/j.actamat.2017.11.033 ↗
7. Toward multiscale simulations of tailored microstructure formation in metal additive manufacturing10.1016/j.mattod.2021.09.024 ↗
8. A cellular automaton finite volume method for microstructure evolution during additive manufacturing10.1016/j.matdes.2019.107672 ↗
9. Evolution of grain structure during laser additive manufacturing. Simulation by a cellular automata method10.1016/j.matdes.2016.05.125 ↗
10. A coupled Cellular Automaton–Lattice Boltzmann model for grain structure simulation during additive manufacturing10.1016/j.commatsci.2016.07.005 ↗
11. ExaCA: A performance portable exascale cellular automata application for alloy solidification modeling10.1016/j.commatsci.2022.111692 ↗
12. Microstructural control in metal laser powder bed fusion additive manufacturing using laser beam shaping strategy10.1016/j.actamat.2019.11.053 ↗
13. Phase-field modeling of grain evolutions in additive manufacturing from nucleation, growth, to coarsening
14. An integrated process–structure–property modeling framework for additive manufacturing10.1016/j.cma.2018.05.004 ↗
15. Validation and application of cellular automaton model for microstructure evolution in IN718 during directed energy deposition10.1016/j.commatsci.2023.112450 ↗
16. Implementation of nucleation in cellular automaton simulation of microstructural evolution during additive manufacturing of Al alloys
17. Additive manufacturing of metallic components – process, structure and properties10.1016/j.pmatsci.2017.10.001 ↗
18. Pulsed laser additive manufacturing for 316L stainless steel: a new approach to control subgrain cellular structure10.1007/s11837-023-06177-8 ↗
19. Mechanical properties of AlSi10Mg produced by selective laser melting10.1016/j.phpro.2012.10.059 ↗
20. Additively manufactured hierarchical stainless steels with high strength and ductility
21. Subgrain microstructural features in directed energy deposited stainless steel 316L: the influence of morphology on mechanical properties10.1016/j.msea.2023.145215 ↗
22. Transformation-induced plasticity and high strength in beta titanium alloy manufactured by selective laser melting
23. Simultaneous improvement in strength and plasticity of Ti-24Nb-4Zr-8Sn manufactured by selective laser melting10.1016/j.matdes.2018.07.036 ↗
24. The influence of Laves phases on the room temperature tensile properties of Inconel 718 fabricated by powder feeding laser additive manufacturing10.1016/j.actamat.2018.10.032 ↗
25. Comparative investigation of small punch creep resistance of Inconel 718 fabricated by selective laser melting10.1016/j.msea.2018.12.083 ↗
26. High-temperature mechanical properties of alloy 718 produced by laser powder bed fusion with different processing parameters
27. The influence of Laves phases on the high-cycle fatigue behavior of laser additive manufactured Inconel 71810.1016/j.msea.2017.03.098 ↗
28. Numerical simulation of solute undercooling influenced columnar to equiaxed transition of Fe-C alloy with cellular automaton10.1016/j.commatsci.2019.05.027 ↗
29. Predicting grain structure in high pressure die casting of aluminum alloys: a coupled cellular automaton and process model10.1016/j.commatsci.2019.01.029 ↗
30. A multi-grid Cellular automaton model for simulating dendrite growth and its application in additive manufacturing
31. Development of a Para-AMR algorithm for simulating dendrite growth under convection using a phase-field–lattice Boltzmann method10.1016/j.cpc.2017.09.021 ↗
32. Growth competition of columnar dendritic grains: a phase-field study10.1016/j.actamat.2014.08.049 ↗
33. Application of finite element, phase-field, and CALPHAD-based methods to additive manufacturing of Ni-based superalloys10.1016/j.actamat.2017.05.003 ↗
34. Impact of fluid flow on the dendrite growth and the formation of new grains in additive manufacturing
35. Influence of heat treatments on microstructure evolution and mechanical properties of Inconel 625 processed by laser powder bed fusion10.1016/j.msea.2018.05.044 ↗
36. Microstructure evolution of inconel 625 alloy during single-track laser powder bed fusion
37. L. Yuan, A. Sabau, J.-L. Fattebert, GitHub - lang-yuan/muMatScale, (n.d.). https://doi.org/10.11578/dc.20240112.2.
38. Outcomes and conclusions from the 2018 AM-bench measurements, challenge problems, modeling submissions, and conference10.1007/s40192-019-00164-1 ↗
39. P.D. Lee, L. Yuan, W. Wang, J. Wang, R.C. Atwood, Open-source software | Research groups | Imperial College London, Imperial College London (n.d.). https://www.imperial.ac.uk/engineering-alloys/research/software/.
40. Fluid dynamics effects on microstructure prediction in single-laser tracks for additive manufacturing of IN625
41. Phase field modelling of dendritic solidification under additive manufacturing conditions10.1007/s11837-022-05310-3 ↗
42. Finite interface dissipation phase field modeling of Ni–Nb under additive manufacturing conditions10.1016/j.actamat.2019.11.057 ↗
43. Modeling and simulation of microstructure evolution for additive manufacturing of metals: a critical review10.1007/s11661-020-05946-3 ↗
44. Multiscale modeling of the vacumm arc remelting process for the prediction on microstructure formation10.1142/S0217979209061305 ↗
45. Microstructural simulations of the influence of solidification velocity on freckle initiation during directional solidification10.2355/isijinternational.50.1814 ↗
46. Dendritic solidification under natural and forced convection in binary alloys: 2D versus 3D simulation10.1088/0965-0393/18/5/055008 ↗
47. A new mechanism for freckle initiation based on microstructural level simulation10.1016/j.actamat.2012.04.043 ↗
48. Columnar-to-Equiaxed Transition in A Laser Scan for Metal Additive Manufacturing
49. Mathematical theory of heat distribution during welding and cutting
50. A comprehensive comparison of the analytical and numerical prediction of the thermal history and solidification microstructure of inconel 718 products made by laser powder-bed fusion10.1016/J.ENG.2017.05.023 ↗
51. Analytical modeling of transient temperature in powder feed metal additive manufacturing during heating and cooling stages10.1007/s00339-019-2782-7 ↗
52. Numerical analysis of the weldability of superalloys10.1016/S1359-6454(00)00361-X ↗
53. Height functions for applying contact angles to 3D VOF simulations10.1002/fld.1974 ↗
54. Numerical simulation of the effect of fluid flow on solute distribution and dendritic morphology10.1179/136404609X368136 ↗
55. A 3D cellular automaton algorithm for the prediction of dendritic grain growth10.1016/S1359-6454(96)00303-5 ↗
56. 3-Dimensional simulation of the grain formation in investment castings10.1007/BF02651604 ↗
57. A model of solidification microstructures in nickel-based superalloys: predicting primary dendrite spacing selection10.1016/S1359-6454(03)00110-1 ↗
58. A parallelized three-dimensional cellular automaton model for grain growth during additive manufacturing10.1007/s00466-017-1535-8 ↗
59. W.M.W. Hwu
60. NVIDIA · CUDA C. ++ Program. GUIDE · 2017
61. Howes · Open. Specif. · 2015
62. An OpenMP GPU-offload implementation of a non-equilibrium solidification cellular automata model for additive manufacturing10.1016/j.cpc.2022.108605 ↗
63. Levine · 2018
64. Columnar-to-equiaxed transition in a laser scan for metal additive manufacturing10.1088/1757-899X/861/1/012007 ↗
65. Modeling and simulation of thermal field and solidification in laser powder bed fusion of nickel alloy IN62510.1016/j.optlastec.2018.08.016 ↗
66. Calculation of thermophysical properties of Ni-based superalloys10.2355/isijinternational.46.623 ↗
67. M. Eshraghi, 3D Modeling of the solidification structure evolution of superalloys in powder bed fusion additive manufacturing processes10.3390/met11121995 ↗
68. Modeling the evolution of grain texture during solidification of laser-based powder bed fusion manufactured alloy 625 using a cellular automata finite element model10.3390/met13111846 ↗
69. Evaluate the effect of melt pool convection on grain structure of IN625 in laser melting process using experimentally validated process-structure modeling10.1016/j.jmatprotec.2022.117538 ↗
70. M. Eshraghi, 3D modeling of the solidification structure evolution of superalloys in powder bed fusion additive manufacturing processes10.3390/met11121995 ↗
71. An extended version of cellular automata model for powder bed fusion to unravel the dependence of microstructure on printing areas for Inconel 625
72. The distribution of rotation axes in a random aggregate of cubic crystals10.1016/0001-6160(64)90191-9 ↗
73. Melt pool microstructure and morphology from single exposures in laser powder bed fusion of 316L stainless steel
74. Microstructural development in inconel 718 nickel-based superalloy additively manufactured by laser powder bed fusion10.1007/s13632-021-00811-0 ↗
75. Fluid dynamics effects on microstructure prediction in single-laser tracks for additive manufacturing of IN625
76. The role of side-branching in microstructure development in laser powder-bed fusion
77. Determination and controlling of grain structure of metals after laser incidence: theoretical approach10.1038/srep41527 ↗