Results 61 to 70 of about 2,698,435 (273)

Non‐Additive Criteria Assessment in Sustainability Evaluation of High Entropy Alloys: A Toxicity‐Weighted Framework

Advanced Engineering Materials, EarlyView.
Sustainability assessment requires methodologies that appropriately distinguish between additive and non‐additive material properties. A toxicity‐weighted scoring system is developed and applied that accounts for the disproportionate influence of highly toxic constituents through nonlinear weighting functions, providing more realistic estimates than ...
Seth Mehalic, Oladele A. Ogunseitan, Julie M. Schoenung   +2 more
wiley   +1 more source

Ex situ synthesis of magnetically exchange coupled SrFe12O19/Fe-Co composites

AIP Advances, 2016
Magnetically exchange coupled SrFe12O19/Fe-Co composites with different mass percentage of Fe-Co were synthesized through an ex situ process. The morphology, magnetic properties, and crystallization of SrFe12O19/Fe-Co composites were investigated.
Xia Xu, Yang-Ki Hong, Jihoon Park, Woncheol Lee, Alan M. Lane   +4 more
doaj   +1 more source

Stretchable Magneto-Mechanical Configurations with High Magnetic Sensitivity Based on “Gel-Type” Soft Rubber for Intelligent Applications

Gels
“Gel-type” soft and stretchable magneto-mechanical composites made of silicone rubber and iron particles are in focus because of their high magnetic sensitivity, and intelligence perspective. The “intelligence” mentioned here is related to the “smartness”
Vineet Kumar, Sang-Shin Park
doaj   +1 more source

Computation of Eddy Current Losses in Soft Magnetic Composites [PDF]

IEEE Transactions on Magnetics, 2012
We compute the classical eddy current losses in soft magnetic composite (SMC) materials, taking into account the eddy current paths appearing at the scale of the sample cross-section because of random contacts between the grains. The prediction of this loss contribution is a challenging task, because of the stochastic nature of the associated ...
APPINO, CARLO, BOTTAUSCIO, ORIANO, de la Barrière O, Fiorillo F, MANZIN, ALESSANDRA, Ragusa R.   +5 more
openaire   +3 more sources

Entropy‐Driven Design of Low‐Melting‐Point Alloys via Compositionally Complex Strategy

Advanced Engineering Materials, EarlyView.
Conventional low‐melting‐point alloys (LMPAs) are limited by a narrow compositional space and inherent property trade‐offs. This review presents an entropy‐driven design strategy that overcomes these limitations, ushering in a new class of low‐melting‐point compositionally complex alloys (LMCCAs).
Yinghui Shang, Jianxiang Zhao, Zhaoqi Chen, Hao Gong, Yinsen Yan, Junlei Tao, Yong Yang   +6 more
wiley   +1 more source

High-frequency soft magnetic properties enhancement in nanocrystalline soft magnetic composites by adding carbonyl iron powder

Materials Research Express
Rapid third-gen semiconductor development drives smaller, more efficient power devices, raising demands for soft magnetic composites (SMCs) high-frequency performance.
Jiaxuan Tang, Yuting Chen, Zhi Zhang, Zhan Xu, Lulu Wang, Junyi Zhang, Yuying Chen   +6 more
doaj   +1 more source

Effects of adding carbonyl Fe or Mn–Zn ferrite powders to fibre-based soft magnetic composites prepared via hybrid cold sintering/spark plasma sintering

Journal of Materials Research and Technology
This manuscript presents the preparation and characterisation of fibres-based soft magnetic composites that incorporates a secondary magnetic phase such as carbonyl Fe and Mn–Zn ferrite nanopowder.
B.V. Neamţu, M. Năsui, G. Cupa, E. Ware, F. Popa, T.F. Marinca, I. Chicinaş   +6 more
doaj   +1 more source

An excellent soft magnetic Fe/Fe3O4-FeSiAl composite with high permeability and low core loss

Results in Physics, 2019
It is well know that the high temperature annealing can improve the permeability and reduce the hysteresis loss of soft magnetic composites (SMCs), but the eddy current loss would be accordingly increased. Thus, developing SMCs with high permeability and
Zhenguo Hou, Pengfei Yan, Bai Sun, Hosameldeen Elshekh, Biao Yan   +4 more
doaj   +1 more source

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

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