Results 301 to 310 of about 5,818,471 (412)
Influence of Form and Structural Features of Open‐Cell Hybrid Foam on the Remanent Magnetic Scanning
Simulations using an equivalent model are performed to improve the understanding of remanent magnetic scanning of hybrid foam samples for coating thickness estimation. The model allows to study the influence of isolated geometrical features such as layer thickness, boundary effects, as well as effects due to the statistical nature of the foams, which ...
Bashar Ibrahim+4 more
wiley +1 more source
Computing Prüfer codes efficiently in parallel
Raymond Greenlaw, Rossella Petreschi
openalex +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
Continuous development of schemes for parallel computing of the electrostatics in biological systems: implementation in DelPhi. [PDF]
Li C, Petukh M, Li L, Alexov E.
europepmc +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
The Parallel Computing Approach in Production System Integration Modeling
José Ceroni, Shimon Y. Nof
openalex +1 more source
Powder Metallurgy and Additive Manufacturing of High‐Nitrogen Alloyed FeCr(Si)N Stainless Steel
The alloying element Nitrogen enhances stainless steel strength, corrosion resistance, and stabilizes austenite. This study develops austenitic FeCr(Si)N steel production via powder metallurgy. Fe20Cr and Si3N4 are hot isostatically pressed, creating an austenitic microstructure.
Louis Becker+5 more
wiley +1 more source
Massively Parallel Computing of Unsteady Incompressible Flows Using Coupled Method.
Kenjiro Shimano+2 more
openalex +2 more sources