Original Article
  • Predicting Reinforcing Particle Distribution in Melt Pool during Direct Energy Deposition (DED) MMC Additive Manufacturing Process

  • Min-Gyu Chung*, Jae-Eun Park*, Kang-Hyun Lee*, Gun Jin Yun*, **, ***†

  • *Department of Aerospace Engineering, Seoul National University
    **Institute of Advanced Aerospace Technology, Seoul National University
    ***Institute of Engineering Research, Seoul National University

  • 금속기지복합재 에너지 직접 용착(DED) 방식 적층제조에서의 용융풀 내 강화 입자 분산 예측

  • 정민규* · 박재은* · 이강현* · 윤군진*, **, ***†

  • This article is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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.


본 연구에서는 나노 크기의 강화입자(TiC)가 포함된 금속기지복합재(Ti-6Al-4V)의 에너지 직접 용착(DED, Direct Energy Deposition) 방식 적층제조에서의 용융풀 내 강화 입자 분산 예측방법을 제시하였다. 마랑고니 효과(Marangoni effect) 및 복잡한 물리현상을 포함한 유한체적법(FVM, Finite Volume Method) 기반 모델링을 통해 용융풀 형성 거동을 전산 모사하였으며, 용융풀 단면 분석 결과 실험값 대비 평균적으로 10% 이내의 예측 오차율을 보임을 확인하였다. 이러한 예측 값을 기반으로 이상유동모델(DPM, Discrete Phase Model)를 이용하여 용융풀 내에서의 나노 입자의 거동을 모사하였고, 최종적으로 용융풀 내 분산을 예측하였다.


Keywords: 금속기지복합재(Metal Matrix Composites), 에너지 직접 용착(Directed Energy Deposition), 적층제조(Additive Manufacturing), Discrete Phase Model(DPM)

This Article

Correspondence to

  • Gun Jin Yun

  • *Department of Aerospace Engineering, Seoul National University
    **Institute of Advanced Aerospace Technology, Seoul National University
    ***Institute of Engineering Research, Seoul National University

  • E-mail: gunjin.yun@snu.ac.kr