Results 101 to 110 of about 19,533,251 (282)
Geometry‐driven thermal behavior in wire‐arc additive manufacturing (WAAM) influences microstructural evolution during nonequilibrium solidification of a chemically complex Fe–Cr–Nb–W–Mo–C nanocomposite system. By comparing different deposits configurations, distinct entropy–cooling rate correlations, segregation, and carbide evolution are revealed ...
Blanca Palacios +5 more
wiley +1 more source
Thermomechanical fatigue tests of laser beam powder bed fusion (PBF‐LB) Inconel 718 show that the additively manufactured material reaches almost the lifetimes of conventionally‐rolled material under no‐dwell conditions. Introducing dwell times at the maximum temperature markedly reduces the lifetimes due to pronounced grain boundary sliding associated
Stefan Guth +6 more
wiley +1 more source
This article presents the design, modeling, and characterization of air‐pressure–actuated programmable vibroacoustic metamaterials (PVAMM). The study focuses on leveraging air pressure to dynamically tune resonance frequencies for effective noise attenuation.
William Kaal +2 more
wiley +1 more source
Additive friction stir deposition of aluminum alloys: A critical review
Additive friction stir deposition (AFSD) enables near-net shape fabrication through layer-by-layer material deposition, depositing feedstock via frictional heat and plastic deformation for applications ranging from component manufacturing to repair ...
I. Liu +3 more
doaj +1 more source
Additive manufacturing as a platform for introducing cyber-physical services
Additive manufacturing (AM) is increasingly used for the production of functional components. This process is based on digital design model and can produce customized components with no additional cost (toolless process).
Holmström, Jan +2 more
core +1 more source
A simplified thermoplastic pultrusion model is developed to predict thermal fields in glass fiber/polyethylene terephthalate (GF/PET) composites with reduced computational cost. By combining effective material homogenization, validation against literature data, and Gaussian‐process‐based optimization, the study reveals how heating limits, pulling speed,
Elder Soares +3 more
wiley +1 more source
Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier +17 more
wiley +1 more source
Silica particulate dispersion during additive friction deposition in a metal matrix composite
This work presents a study of a low-power, solid-state additive manufacturing process to simultaneously mix and build a metal matrix composite. Specifically, an Al 6061 powder was blended with 11 wt% silica (SiO2) after which the powders were solid-state
Jessica J. Lopez +5 more
doaj +1 more source
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch +3 more
wiley +1 more source
Application of Machine Learning in Solid State Additive Manufacturing
Traditional manufacturing has been completely transformed by solid-state additive manufacturing (AM) techniques like 3D printing, which offer previously unheard-of flexibility and efficiency in producing complicated geometries and bespoke components. The use of machine learning (ML) methods to improve many facets of solid-state AM processes is becoming
openaire +2 more sources

