Additive Manufacturing of High-Performance Metals and Alloys - Modeling and Optimization 2018
DOI: 10.5772/intechopen.73107
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A Two-Dimensional Simulation of Grain Structure Growth within Substrate and Fusion Zone during Direct Metal Deposition

Abstract: In this chapter, a predictive multiscale model based on a cellular automaton (CA)-finite element (FE) method has been developed to simulate thermal history and microstructure evolution during metal solidification for direct metal deposition (DMD) process. The macroscopic FE calculation that is validated by the thermocouple experiment is developed to simulate the transient temperature field and cooling rate of single layer and multiple layers. In order to integrate the different scales, a CAFE coupled model is … Show more

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Cited by 3 publications
(2 citation statements)
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“…The last decade's progress in the field of computational methods was focused on updating the conventional material databases with additively manufactured materials. The main methods used to analyze the microstructural development are cellular automaton (CA), Monte Carlo (MC), Phase-field (PF), Lattice Boltzmann (LB), Molecular dynamics (MD), and other empiric models [37][38][39][40], or combined models, such as CALB [41].…”
Section: Introductionmentioning
confidence: 99%
“…The last decade's progress in the field of computational methods was focused on updating the conventional material databases with additively manufactured materials. The main methods used to analyze the microstructural development are cellular automaton (CA), Monte Carlo (MC), Phase-field (PF), Lattice Boltzmann (LB), Molecular dynamics (MD), and other empiric models [37][38][39][40], or combined models, such as CALB [41].…”
Section: Introductionmentioning
confidence: 99%
“…Multiple studies were conducted on metallic materials manufactured by AM, most of them being realized on titanium-based alloys [16][17][18], nickel-based superalloys [19][20][21][22][23][24], cobaltchromium alloys [25][26][27], and aluminium alloys [28][29][30]. However, current studies validate new materials for AM [31], and the computational methods and programs used for conventionally manufactured alloys are tailored for AM [32][33][34][35][36][37][38][39]. Many standards are applied during the material selection and testing campaigns to produce new parts.…”
Section: Introductionmentioning
confidence: 99%