Results 181 to 190 of about 10,355,181 (279)

Leveraging Symbolic Artificial Intelligence and Fuzzy Logic for Materials Science: A Review of Methods, Challenges, and Applications to Scarce and Imperfect Experimental Data

Advanced Engineering Materials, EarlyView.
This article explores the transformative potential of symbolic artificial intelligence (AI) in the field of materials science, particularly in leveraging experimental data. The article presents several symbolic AI models and discusses their applications in materials science.
Ahmed Amrani, Mohamed‐Ali Belloum, Laurence Boudet, Valentin Fouillard, Edwin Friedmann, Guillaume Lacharme, Ali Mahmoud, Jean‐Philippe Poli   +7 more
wiley   +1 more source

Theoretical Study on the Formation Mechanism of Ti(C,N) Inclusions and Titanium Content Control in High-Grade Non-Oriented Silicon Steel. [PDF]

Materials (Basel)
Liu J, Li C, Zhou F, Zhang B, Du S, Tang H, Zhang J.   +6 more
europepmc   +1 more source

Rapidly Solidified High‐Strength Invar 36 Prepared by Planar‐Flow Melt Spinning

Advanced Engineering Materials, EarlyView.
The Invar 36 alloy was rapidly solidified using the planar‐flow melt‐spinning technique. Ribbon samples with thicknesses ranging from 20 to 160 mm were produced. As the grain size of the ribbon decreased to sub‐micron levels, the hardness increased by more than 2 times.
Bekir Akgül, Mehmet Kul
wiley   +1 more source

Development and application of an instrument for microstructure matrix inclusion distribution analysis in oversized metallic materials. [PDF]

iScience
Lyu Y, Jia Y, Wan W, Zhang X, Sheng L, Wang H.   +5 more
europepmc   +1 more source

The formation of non-metallic inclusions during steelmaking. [PDF]

A comprehensive review of the literature on deoxidation and inclusion formation has been carried out, including the results of both laboratory experiments and full scale plant trials. The main areas for discussion have been:- (i) Nucleation of inclusions. (ii) Growth and elimination of inclusions.
openaire  

Gallium Microalloying in Bi–Sn Solders: Interfacial Phase Formation, Wettability, and Long‐Term Shear Reliability Under Isothermal Aging

Advanced Engineering Materials, EarlyView.
Gallium microalloying redirects interfacial reactions in low‐temperature Bi–Sn solders from Cu–Sn toward Cu–Ga intermetallic formation. The resulting Cu–Ga layer suppresses intermetallic growth during thermal aging, alters fracture pathways, and improves interfacial stability.
Iva Králová, Markéta Klimtová, Mohd Faizul Mohd Sabri, Yew Hoong Wong, Petr Veselý, Martin Plaček, Karel Dušek   +6 more
wiley   +1 more source

Effect of Trace-Ti Content on Microstructure and Mechanical Properties of 1Cr10Co6MoVNbN Steel. [PDF]

Materials (Basel)
Hu G, Shang C, Liu T, Du A, Zheng H, Lu Y.   +5 more
europepmc   +1 more source

Crack nucleation using combined crystal plasticity modelling, high-resolution digital image correlation and high-resolution electron backscatter diffraction in a superalloy containing non-metallic inclusions under fatigue. [PDF]

Proc Math Phys Eng Sci, 2016
Zhang T, Jiang J, Britton B, Shollock B, Dunne F.   +4 more
europepmc   +1 more source

Morphology, Transport, and Dynamics of Protein Adsorption in Open‐Cell Metal Foam

Advanced Engineering Materials, EarlyView.
Stainless steel (SS) open‐cell foams are shown to adsorb more protein per unit area than previously reported 316L SS and chromium oxide surfaces under static and flow conditions. An integrated approach combining 3D pore imaging, flow simulation, and protein adsorption experiments characterizes the foam’s performance.
Chinmaya Prerana Inguva, Joseph Lavoie, Afsaneh Rabiei   +2 more
wiley   +1 more source

Resolving the mechanism of inclusion-controlled corrosion in advanced high-strength steels with scanning electrochemical probe microscopy. [PDF]

Npj Mater Degrad
Geevarghese DM, Hakimian S, Mena-Morcillo E, Asare E, Sun L, De Medeiros C, Gateman SM.   +6 more
europepmc   +1 more source