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    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    This study proposes a simulation-based depowdering framework specifically designed for complex and additive manufacturing (AM) components. Unlike traditional trial-and-error methods, the developed approach integrates multi-body dynamics (MBD) with the discrete element method (DEM) to accurately simulate the dynamic motion of a depowdering machine and the resulting powder behavior. A gyroid-based internal structure was designed to replicate challenging depowdering scenarios, and 22 motion conditions, including variations in the vibration direction and angular velocity, were simulated to evaluate powder removal efficiency. Additionally, airflow analyses using nTop supported an optimal compressed-air injection design. The proposed MBD–DEM coupled simulation framework enables virtual evaluation and optimization of the depowdering performance, providing a foundation for digital twin-based post-processing (depowdering) in AM.
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    This study proposes a simulation-based depowdering framework specifically designed for complex and additive manufacturing (AM) components. Unlike traditional trial-and-error methods, the developed approach integrates multi-body dynamics (MBD) with the...

    This study proposes a simulation-based depowdering framework specifically designed for complex and additive manufacturing (AM) components. Unlike traditional trial-and-error methods, the developed approach integrates multi-body dynamics (MBD) with the discrete element method (DEM) to accurately simulate the dynamic motion of a depowdering machine and the resulting powder behavior. A gyroid-based internal structure was designed to replicate challenging depowdering scenarios, and 22 motion conditions, including variations in the vibration direction and angular velocity, were simulated to evaluate powder removal efficiency. Additionally, airflow analyses using nTop supported an optimal compressed-air injection design. The proposed MBD–DEM coupled simulation framework enables virtual evaluation and optimization of the depowdering performance, providing a foundation for digital twin-based post-processing (depowdering) in AM.

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