7 papers
A rapid experimental workflow for studying melt track scaling in laser powder bed fusion using high-precision metal template substrates
Reimar Weissbach, Ryan W. Penny, A. John Hart
Development and qualification of process parameters in laser powder bed fusion (LPBF) commonly involves many variables. At the outset of development, whether transferring known par…
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…
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…
A Testbed for Investigation of Selective Laser Melting at Elevated Atmospheric Pressure
David A. Griggs, Jonathan S. Gibbs, Stuart P. Baker +3
Metal additive manufacturing (AM) by laser powder bed fusion (L-PBF) builds upon fundamentals established in the field of laser welding which include the influence of gas and plume…
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…
On-lattice voxelated convolutional neural networks for prediction of phase diagrams and diffusion barriers in cubic alloys
Seyedeh Mohadeseh Taheri-Mousavi, Seyed Sina Moeini-Ardakani, Ryan W. Penny +2
Cluster expansion approximates an on-lattice potential with polynomial regression. We show that using a convolutional neural network (CNN) instead leads to more accurate prediction…