Computational Framework to Evaluate the Relationships between Process Parameters, Grain Structure and Mechanical Properties of Additive Manufactured Materials
Metallurgical, Thermal and Thermomechanical Treatment of Materials
Thermodynamics and Kinetics as well as Properties of Phases and Microstructure of Materials
Final Report Abstract
This project aimed to develop and employ a computational method to simulate grain structure and texture evolution during Powder Bed Fusion - Laser Beam (PBF-LB) production of aluminum specimens. A 3D Cellular Automata (CA) model was developed to simulate solidified microstructures caused by a moving heat source simulated using the Finite Difference (FD) method. The coupled CAFD tool was optimized for efficient simulations including several hatches and layers (representative volume > 1 mm3). While the CAFD simulation of grain growth was capable of producing common columnar grains and texture components, it was unable to replicate the bimodal grain structures found in Al alloys such as AlSi10Mg and Scalmalloy®, where fusion boundary nucleation plays an essential role. It was found that the standard nucleation model does not account for this unique phenomenon, since it results in equiaxed grains at the center of the melt pool. Therefore, particle-based nucleation models were established and implemented into the CAFD simulation of these alloys. Consequently, the main grain structure and texture characteristics (fusion boundary nucleation in both alloys, epitaxial growth at the melt pool bottom of AlSi10Mg, and texture component of <001> build-direction in columnar grains) were successfully delivered by the CAFD approach powered by the particle-based nucleation model with the nucleation incubation criterion. The method was then enhanced by including a multi-scale and solidification-aware thermal analysis to account for intrinsic preheating and the proper release of the latent heat of fusion. A CA pore distributor tool was also developed to explicitly introduce multiple pore shapes and distributions based on the measured porosity. Meanwhile, the significance of eutectic Si particles has been identified. Therefore, in addition to the numerical CA simulation, an analytical solidification analysis was established to predict solidification features such as growth kinetics, microsegregation, solid/liquid interface mode, and percentage and composition of the eutectic phase as a function of process parameters.
Publications
- “Modeling of 3D microstructures produced by additive manufacturing,” Proceedings of the Advanced Materials with Hierarchical Structure for New Technologies and Reliable Structures, Tomsk, Russia, 2018, p. 020256
Romanova, V., Zinovieva, O., Balokhonov, R., Zinoviev, A., Ploshikhin, V., Emelianova, E., & Sergeev, M.
(See online at https://doi.org/10.1063/1.5083499) - “Strategy of computational predictions for mechanical behaviour of additively manufactured materials,” Mater. Sci. Technol., vol. 34, no. 13, pp. 1591–1605, 2018
Zinovieva, O., Zinoviev, A., Ploshikhin, V., Romanova, V., & Balokhonov, R.
(See online at https://doi.org/10.1080/02670836.2018.1489939) - “Three-dimensional modeling of the microstructure evolution during metal additive manufacturing,” Comput. Mater. Sci., vol. 141, pp. 207–220, 2018
Zinovieva, O., Zinoviev, A., & Ploshikhin, V.
(See online at https://doi.org/10.1016/j.commatsci.2017.09.018) - “A physically-based computational approach for processing-microstructure-property linkage of materials additively manufactured by laser powder bed fusion,” Int. J. Mech. Sci., vol. 219, p. 107103, 2022
Romanova, V., Mohebbi, M. S., Dymnich, E., Balokhonov, R., & Ploshikhin, V.
(See online at https://doi.org/10.1016/j.ijmecsci.2022.107103) - “Implementation of nucleation in cellular automaton simulation of microstructural evolution during additive manufacturing of Al alloys,” Addit. Manuf., vol. 36, p. 101726, 2020
Mohebbi, M. S., & Ploshikhin, V.
(See online at https://doi.org/10.1016/j.addlet.2022.100066) - “Cellular Automata Analysis of Effects of Substrate Conditions on Microstructure and Texture Evolution during Selected Laser Melting,” Advanced Materials Research. Vol. 1161, 2021
Mohebbi, M. S., Illies, O., & Ploshikhin, V.
(See online at https://doi.org/10.4028/www.scientific.net/AMR.1161.57) - “Simulation of Primary Particle Development and Their Impact on Microstructural Evolution of Sc-Modified Aluminum Alloys during Additive Manufacturing,” Metals, vol. 11, no. 7, 2021
Mohebbi, M. S., & Ploshikhin, V.
(See online at https://doi.org/10.3390/met11071056) - “Investigation of the inhomogeneous mechanical response at the grain scale for additive AlSi10Mg alloy,” Procedia Struct. Integr., vol. 35, pp. 196–202, Jan. 2022
Romanova, V., Dymnich, E., Balokhonov, R., Mohebbi, M. S., & Ploshikhin, V.
(See online at https://doi.org/10.1016/j.prostr.2021.12.065)
