collaborators

5 papers

physics.app-ph2022

Quantitative analysis of thin metal powder layers via transmission X-ray imaging and discrete element simulation: Blade-based spreading approaches

Ryan W. Penny, Daniel Oropeza, Patrick M. Praegla +4

Spreading uniform and dense layers is of paramount importance to creating high-quality components using powder bed additive manufacturing (AM). Blade-like tools are often employed…

physics.app-ph2022

Quantitative analysis of thin metal powder layers via transmission X-ray imaging and discrete element simulation: Roller-based spreading approaches

Ryan W. Penny, Daniel Oropeza, Reimar Weissbach +4

A variety of tools can be used for spreading metal, ceramic, and polymer feedstocks in powder bed additive manufacturing methods. Rollers are often employed when spreading powders…

cs.CE2022

A Versatile SPH Modeling Framework for Coupled Microfluid-Powder Dynamics in Additive Manufacturing: Binder Jetting, Material Jetting, Directed Energy Deposition and Powder Bed Fusion

Sebastian L. Fuchs, Patrick M. Praegla, Christian J. Cyron +2

Many additive manufacturing (AM) technologies rely on powder feedstock, which is fused to form the final part either by melting or by chemical binding with subsequent sintering. In…

physics.app-ph2021

Spatial Mapping of Powder Layer Density for Metal Additive Manufacturing via X-ray Microscopy

Ryan W. Penny, Patrick M. Praegla, Marvin Ochsenius +4

Uniform powder spreading is a requisite for creating consistent, high-quality components via powder bed additive manufacturing (AM), wherein layer density and uniformity are comple…

cs.CE2021

Physics-Based Modeling and Predictive Simulation of Powder Bed Fusion Additive Manufacturing Across Length Scales

Christoph Meier, Sebastian L. Fuchs, Nils Much +10

Powder bed fusion additive manufacturing (PBFAM) of metals has the potential to enable new paradigms of product design, manufacturing and supply chains while accelerating the reali…