Modeling and Characterization of Cohesion in Fine Metal Powders with a Focus on Additive Manufacturing Process Simulations
Christoph Meier, Reimar Weissbach, Johannes Weinberg, Wolfgang A., Wall, A. John Hart

TL;DR
This paper develops a novel DEM-based model to characterize cohesion in fine metal powders, crucial for improving powder-bed additive manufacturing simulations, by estimating surface energy and analyzing flow behavior.
Contribution
It introduces the first experimental estimate of surface energy for metal powders and emphasizes the importance of cohesive forces in accurate powder behavior modeling.
Findings
Effective surface energy of Ti-6Al-4V powder is 0.1 mJ/m^2.
Neglecting cohesion significantly underestimates the angle of repose.
Cohesive forces are crucial for realistic powder flow simulation.
Abstract
The cohesive interactions between fine metal powder particles crucially influence their flow behavior, which is in turn important to many powder-based manufacturing processes including emerging methods for powder-based metal additive manufacturing (AM). The present work proposes a novel modeling and characterization approach for micron-scale metal powders, with a special focus on characteristics of importance to powder-bed AM. The model is based on the discrete element method (DEM), and the considered particle-to-particle and particle-to-wall interactions involve frictional contact, rolling resistance and cohesive forces. Special emphasis lies on the modeling of cohesion. The proposed adhesion force law is defined by the pull-off force resulting from the surface energy of powder particles in combination with a van-der-Waals force curve regularization. The model is applied to predict the…
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