Exploration of improved, roller-based spreading strategies for cohesive powders in additive manufacturing via coupled DEM-FEM simulations
Reimar Weissbach, Patrick M. Praegla, Wolfgang A. Wall, A. John Hart,, Christoph Meier

TL;DR
This study uses coupled DEM-FEM simulations to optimize roller-based spreading strategies for cohesive powders in additive manufacturing, revealing key kinematic parameters that improve layer uniformity and density.
Contribution
It introduces an integrated DEM-FEM framework to identify optimal roller kinematics and surface properties for spreading highly cohesive powders in AM.
Findings
Optimal spreading depends on roller surface friction and kinematics.
Excessive roller rotation causes particle ejection and non-uniform layers.
Rotational oscillation can achieve similar results to counter-rotation, with practical advantages.
Abstract
Spreading of fine (D50 <=20um) powders into thin layers typically requires a mechanism such as a roller to overcome the cohesive forces between particles. Roller-based spreading requires careful optimization and can result in low density and/or inconsistent layers depending on the characteristics of the powder feedstock. Here, we explore improved, roller-based spreading strategies for highly cohesive powders using an integrated discrete element-finite element (DEM-FEM) framework. Powder characteristics are emulated using a self-similarity approach based on experimental calibration for a Ti-6Al-4V 0-20um powder. We find that optimal roller-based spreading relies on a combination of surface friction of the roller and roller kinematics that impart sufficient kinetic energy to break cohesive bonds between powder particles. However, excess rotation can impart excessive kinetic energy,…
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Taxonomy
TopicsMetallurgy and Material Forming · Advanced Surface Polishing Techniques · Metal Forming Simulation Techniques
