Results 111 to 120 of about 10,355,181 (279)

Affecting the Properties of Copper–Graphene Electroconductive Composite by Severe Plastic Deformation

open access: yesAdvanced Engineering Materials, EarlyView.
Copper‐based composites enhanced with carbon feature convenient mechanical properties and favorable electric conductivity. Processing via deformation and thermomechanical treatments can introduce advantageous microstructures further enhancing their performance. Herein, copper–graphene powder‐based composites are directly consolidated via rotary swaging
Radim Kocich   +3 more
wiley   +1 more source

Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization

open access: yesAdvanced Engineering Materials, EarlyView.
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

Density Measurement of Irradiated and Nonirradiated Zirconium Oxide by Ptychographic X‐Ray Computed Tomography (PXCT)

open access: yesAdvanced Engineering Materials, EarlyView.
Mass density governs the protective behavior of oxide layers on nuclear fuel cladding. Ptychographic X‐ray computed tomography measures zirconium oxide grown on Zircaloy‐4 under reactor and autoclave conditions, revealing nearly identical bulk densities of 5.1 ± 0.80 g cm−3.
Okan Yetik   +9 more
wiley   +1 more source

Evolution of non-metallic inclusions in liquid low alloyed aluminium killed steel

open access: yes, 1999
Non-metallic inclusions in liquid steel are mainly formed during killing. As far as these particles are not captured by the slag, they are found in the cast steel where they can deteriorate the mechanical properties.
Dekkers, Rob   +5 more
core  

Impact of niobium addition and non-metallic inclusions’ characteristics on the microstructure and mechanical properties of low-carbon CrNiMnMoB ultrahigh-strength steel: A comprehensive investigation

open access: yesJournal of Materials Research and Technology
The effect of cooling rate and Nb addition on the phase transformation, microstructures, and mechanical properties of thermomechanically controlled hot-rolled low-carbon CrNiMnMoB ultrahigh-strength steel were studied.
Mohammed Ali   +2 more
doaj   +1 more source

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

open access: yesAdvanced Engineering Materials, EarlyView.
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

Characterization of non-metallic inclusions in Pb-Ca-Sn alloys

open access: yes
V magistrski nalogi so bili raziskovani in kategorizirani nekovinski vključki v dveh svinčevih zlitinah Pb-Ca-Sn, ki se uporabljajo za izdelavo kislinskih vžignih akumulatorjev.
Šegel, Gregor
core  

Solidification-induced nonuniformity in U–Zr–RE metallic nuclear fuel rods

open access: yesScientific Reports
Metallic fuel is being developed for the next generation of sodium-cooled fast reactors due to its safety and fuel cycle economics through spent fuel reprocessing technology.
Seung Uk Mun   +4 more
doaj   +1 more source

Simulation Analysis of the Influence of Inclusion on Contact Fatigue Performance of Gear

open access: yesJixie chuandong, 2020
Non-metallic inclusions in the gear have significant influence on the contact fatigue strength of gear. To improve the fatigue performance of the gear, it is essential to understand the mechanism of the influence of the non-metallic inclusions on the ...
Wenbo Zhang   +3 more
doaj  

Symbolic Regression and Multi‐Objective Optimization of the Flory–Huggins Interaction Parameter for Hydrogels

open access: yesAdvanced Engineering Materials, EarlyView.
We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang   +2 more
wiley   +1 more source

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