|About this Abstract
||MS&T22: Materials Science & Technology
||Additive Manufacturing Modeling, Simulation, and Machine Learning: Microstructure, Mechanics, and Process
||Discrete Element Method Based Simulations of Metal Powder Pouring and Raking Processes in Additive Manufacturing
||Michael M. Fazzino, Ummay Habiba, Rainer Hebert, Serge Nakhmanson
|On-Site Speaker (Planned)
||Michael M. Fazzino
Discrete Element Method based approach implemented in the LIGGGHTS package was used to construct ‘digital twins’ of Ti 6-4 powder pouring and raking processes. Adjustable parameters of the pouring process digital twin were validated by an ASTM B213 standard Hall Flowmeter Funnel experiment, with experimental data for the particle size distribution used as input. Validation included comparing the general shape of the particle pile, such as its diameter, height, and slope angles to the experimental results. Local particle size distributions were obtained for different areas within the pile (e.g., top vs. bottom area), indicating the dominance of larger particles at the top of the pile, akin to the Brazil nut effect. Validated material parameters were then utilized in construction of a digital twin of the particle pile raking process over a powder bed, with local porosity and particle size distribution after the raking evaluated and compared with the experimental results.