Results 161 to 170 of about 1,762,518 (330)
Specific heat of helium confined to micron-scale geometries near the lambda point
J. A. Lipa+5 more
openalex +1 more source
Framework for Adaptive Sampling of Point-Based Surfaces Using Geometry and Color Attributes [PDF]
Duck Bong Kim+3 more
openalex +1 more source
This study explores a process chain to produce dispersoid‐strengthened CuCr1Zr for applications requiring high strength and conductivity. Using gas‐atomized powder and copper‐plated alumina nanoparticles, additive manufacturing is performed via powder bed based additive manufacturing with green and red lasers, followed by heat treatment.
Heinrich von Lintel+7 more
wiley +1 more source
Developing process parameters for the laser‐based Powder Bed Fusion of metals can be a tedious task. Based on melt pool depth, the process parameters are transferable to different laser scan speeds. For this, understanding the melt pool scaling behavior is essential, particularly for materials with high thermal diffusivity, as a change in scaling ...
Markus Döring+2 more
wiley +1 more source
Hybrid materials enable high‐performance components but are challenging to process. This study explores an inductive heating concept with spray cooling for steel–aluminum specimens in a two‐step process including friction welding and cup backward extrusion.
Armin Piwek+7 more
wiley +1 more source
Absolute Embeddings of Point–Line Geometries
Anna Kasikova, Ernest E. Shult
openalex +1 more source
Deterministic point inclusion methods for computational applications with complex geometry [PDF]
Ahmed Khamayseh, Andrew P. Kuprat
openalex +1 more source
This perspective article explores an innovative powder metallurgical approach to producing high‐nitrogen steels by utilizing a mixture of stainless steel and Si3N4. This mixture undergoes hot isostatic pressing followed by direct quenching. The article also examines adapting this method to laser powder bed fusion (PBF‐LB/M) to overcome nitrogen ...
Louis Becker+5 more
wiley +1 more source
In this study, the mechanical response of Y‐shaped core sandwich beams under compressive loading is investigated, using deep feed‐forward neural networks (DFNNs) for predictive modeling. The DFNN model accurately captures stress–strain behavior, influenced by design parameters and loading rates.
Ali Khalvandi+4 more
wiley +1 more source
This study explores the energy conversion in powder bed fusion of polymers using laser beam for polyamide 12 and polypropylene powders. It combines material and process data, using dimensionless parameters and numerical models, to enable the prediction of suitable printing parameters.
Christian Schlör+9 more
wiley +1 more source