금속기지복합재 에너지 직접 용착(DED) 방식 적층제조에서의 용융풀 내 강화 입자 분산 예측 = Predicting Reinforcing Particle Distribution in Melt Pool during Direct Energy Deposition (DED) MMC Additive Manufacturing Process

다국어 초록 (Multilingual Abstract)

This paper proposes a method for predicting the dispersion of reinforcement nanoparticles (TiC) within the molten pool during the DED (Direct Energy Deposition) additive manufacturing process for a metal matrix composite (Ti-6Al-4V). The formation behavior of the molten pool was computationally simulated using a Finite Volume Method (FVM)-based model that incorporates the Marangoni effect and complex physical phenomena. The cross-sectional analysis of the molten pool demonstrated that the prediction error was, on average, within 10% compared to the experimental values. Based on these predicted values, the behavior of the nanoparticles within the molten pool was simulated using the Discrete Phase Model (DPM), ultimately enabling the prediction of their dispersion within the molten pool.