2022
DOI: 10.3390/ma15217844
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New Platforms Based on Frontal Cellular Automata and Lattice Boltzmann Method for Modeling the Forming and Additive Manufacturing

Abstract: Materials science gives theoretical and practical tools, while new modeling methods and platforms provide rapid and efficient development, improvement, and optimization of old and new technologies. Recently, impressive progress has been made in the development of computer software and systems. The frontal cellular automata (FCA), lattice Boltzmann method (LBM), and modeling platforms based on them are considered in the paper. The paper presents basic information on these methods and their application for model… Show more

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Cited by 2 publications
(2 citation statements)
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“…FCA has a very wide range of applications in the context of modeling various processes and phenomena occurring in materials. This method, among others, has been used successfully for the modeling of recrystallization [29], additive manufacturing [29,30], and rolling [31]. Recently, parallel computing modeling is also being realized on a larger scale; for example, Zhu et al [32] realized the three-dimensional multi-phase-field simulation of a eutectoid alloy based on an OpenCL parallel.…”
Section: Introductionmentioning
confidence: 99%
“…FCA has a very wide range of applications in the context of modeling various processes and phenomena occurring in materials. This method, among others, has been used successfully for the modeling of recrystallization [29], additive manufacturing [29,30], and rolling [31]. Recently, parallel computing modeling is also being realized on a larger scale; for example, Zhu et al [32] realized the three-dimensional multi-phase-field simulation of a eutectoid alloy based on an OpenCL parallel.…”
Section: Introductionmentioning
confidence: 99%
“…Most studies on the particle scale are limited to one cycle of the process and one material, although simulations with several layers and several metals have recently been published [33][34][35]. The holistic model of the entire SLM process developed and presented in [36][37][38][39][40][41][42][43] had the same limitation related to the imperfection of the powder deposition models. The improved model presented here allows for the simulation of multistage multi-material SLM processes.…”
Section: Introductionmentioning
confidence: 99%