scholarly journals Characterization of the magnetic interactions of multiphase magnetocaloric materials using first-order reversal curve analysis

2015 ◽  
Vol 117 (17) ◽  
pp. 17C124 ◽  
Author(s):  
V. Franco ◽  
F. Béron ◽  
K. R. Pirota ◽  
M. Knobel ◽  
M. A. Willard
Keyword(s):  
Curve Analysis ◽  
Magnetic Interactions ◽  
First Order ◽  
Magnetocaloric Materials

First-order-reversal-curve analysis of rare earth permanent magnet nanostructures: insight into the coercivity enhancement mechanism through regulating the Nd-rich phase

2021 ◽  
Author(s):  
Junjie Xu ◽  
Kai Zhu ◽  
Wei Li ◽  
Xiaobai Wang ◽  
Ziyu Yang ◽  
...  
Keyword(s):  
Rare Earth ◽  
Permanent Magnet ◽  
Curve Analysis ◽  
Magnetic Interactions ◽  
Phase Content ◽  
Rich Phase ◽  
Enhancement Mechanism ◽  
First Order ◽  
Insight Into

The coercivity enhancement mechanism of Nd2Fe14B-based nanostructures with Nd-rich phase is revealed by first-order-reversal-curve diagram, which is that increased Nd-rich phase content leads to optimized magnetic interactions and microstructure.

scholarly journals Magnetic characterization of magnetoactive elastomers containing magnetic hard particles using first-order reversal curve analysis

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Mia Schliephake ◽  
Julia M. Linke ◽  
Stefan Odenbach
Keyword(s):  
Material Properties ◽  
Curve Analysis ◽  
Material Behavior ◽  
Vibrating Sample Magnetometer ◽  
Hard Component ◽  
First Order ◽  
Hard Particles ◽  
Particle Ratio ◽  
Elastic Composites

Abstract The use of new types of intelligent materials is becoming increasingly widespread. These include magnetoactive elastomers with hard magnetic filling components, which offer the unique chance to adapt active and passive material properties. In this context, this paper presents an overview of the experimental results on the study of the magnetic properties of elastic composites with a magnetic hard component. First-order reversal curves, which are recorded with a vibrating sample magnetometer, are used as method to characterize the magnetic material behavior. The influence of various parameters on the process of magnetization of composites is considered, including the stiffness of the polydimethylsiloxane-based matrix polymer, the particle ratio and the particle size as well as the so-called training effect.

scholarly journals Setting the Basis for the Interpretation of Temperature First Order Reversal Curve (TFORC) Distributions of Magnetocaloric Materials

Metals ◽  
2020 ◽  
Vol 10 (8) ◽  
pp. 1039
Author(s):  
Luis M. Moreno-Ramírez ◽  
Victorino Franco
Keyword(s):  
Thermal Hysteresis ◽  
Magnetic Interactions ◽  
Transformation Mechanism ◽  
First Order ◽  
Analysis Technique ◽  
Magnetocaloric Materials ◽  
First Order Phase ◽  
Different Characteristics ◽  
Distinct Features ◽  
Extract Information

First Order Reversal Curve (FORC) distributions of magnetic materials are a well-known tool to extract information about hysteresis sources and magnetic interactions, or to fingerprint them. Recently, a temperature variant of this analysis technique (Temperature-FORC, TFORC) has been used for the analysis of the thermal hysteresis associated with first-order magnetocaloric materials. However, the theory supporting the interpretation of the diagrams is still lacking, limiting TFORC to a fingerprinting technique so far. This work is a first approach to correlate the modeling of first-order phase transitions, using the Bean–Rodbell model combined with a phenomenological transformation mechanism, with the features observed in experimental TFORC distributions of magnetocaloric materials. The different characteristics of the transformations, e.g., transition temperatures, symmetry, temperature range, etc., are correlated to distinct features of the distributions. We show a catalogue of characteristic TFORC distributions for magnetocaloric materials that exhibit some of the features observed experimentally.

scholarly journals Characterization of Dissipative Structures for First-Order Symmetric Hyperbolic System with General Relaxation

Mathematics ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 728
Author(s):  
Yasunori Maekawa ◽  
Yoshihiro Ueda
Keyword(s):  
Hyperbolic System ◽  
Dissipative Structure ◽  
Dissipative Structures ◽  
Algebraic Characterization ◽  
Symmetric Hyperbolic System ◽  
Full Generality ◽  
Order Linear ◽  
First Order

In this paper, we study the dissipative structure of first-order linear symmetric hyperbolic system with general relaxation and provide the algebraic characterization for the uniform dissipativity up to order 1. Our result extends the classical Shizuta–Kawashima condition for the case of symmetric relaxation, with a full generality and optimality.

scholarly journals On Consensus Index of Triplex Star-Like Networks: A Graph Spectra Approach

Symmetry ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 1248
Author(s):  
Da Huang ◽  
Jian Zhu ◽  
Zhiyong Yu ◽  
Haijun Jiang
Keyword(s):  
Algebraic Connectivity ◽  
Multi Agent Systems ◽  
Graph Spectra ◽  
Asymptotic Behaviors ◽  
Agent Systems ◽  
First Order ◽  
Laplacian Spectra ◽  
Multi Agent ◽  
Consensus Index

In this article, the consensus-related performances of the triplex multi-agent systems with star-related structures, which can be measured by the algebraic connectivity and network coherence, have been studied by the characterization of Laplacian spectra. Some notions of graph operations are introduced to construct several triplex networks with star substructures. The methods of graph spectra are applied to derive the network coherence, and some asymptotic behaviors of the indices have been derived. It is found that the operations of adhering star topologies will make the first-order coherence increase a constant value under the triplex structures as parameters tend to infinity, and the second-order coherence have some equality relations as the node related parameters tend to infinity. Finally, the consensus related indices of the triplex systems with the same number of nodes but non-isomorphic graph structures have been compared and simulated to verify the results.

scholarly journals Numerical Characterization of Cohesive and Non-Cohesive ‘Sediments’ under Different Consolidation States Using 3D DEM Triaxial Experiments

Processes ◽  
2020 ◽  
Vol 8 (10) ◽  
pp. 1252
Author(s):  
Hadar Elyashiv ◽  
Revital Bookman ◽  
Lennart Siemann ◽  
Uri ten Brink ◽  
Katrin Huhn
Keyword(s):  
Mechanical Response ◽  
Burial Depth ◽  
Cohesive Sediments ◽  
Third Order ◽  
First Order ◽  
Numerical Characterization ◽  
Response To Stress ◽  
Bond Strengths ◽  
Individual Bond

The Discrete Element Method has been widely used to simulate geo-materials due to time and scale limitations met in the field and laboratories. While cohesionless geo-materials were the focus of many previous studies, the deformation of cohesive geo-materials in 3D remained poorly characterized. Here, we aimed to generate a range of numerical ‘sediments’, assess their mechanical response to stress and compare their response with laboratory tests, focusing on differences between the micro- and macro-material properties. We simulated two endmembers—clay (cohesive) and sand (cohesionless). The materials were tested in a 3D triaxial numerical setup, under different simulated burial stresses and consolidation states. Variations in particle contact or individual bond strengths generate first order influence on the stress–strain response, i.e., a different deformation style of the numerical sand or clay. Increased burial depth generates a second order influence, elevating peak shear strength. Loose and dense consolidation states generate a third order influence of the endmember level. The results replicate a range of sediment compositions, empirical behaviors and conditions. We propose a procedure to characterize sediments numerically. The numerical ‘sediments’ can be applied to simulate processes in sediments exhibiting variations in strength due to post-seismic consolidation, bioturbation or variations in sedimentation rates.

scholarly journals Magnetic Interactions through Fluoride: Magnetic and Spectroscopic Characterization of Discrete, Linearly Bridged [MnIII2(μ-F)F4(Me3tacn)2](PF6)

2014 ◽  
Vol 53 (10) ◽  
pp. 5013-5019 ◽  
Author(s):  
Kasper S. Pedersen ◽  
Marc Sigrist ◽  
Høgni Weihe ◽  
Andrew D. Bond ◽  
Christian Aa. Thuesen ◽  
...  
Keyword(s):  
Spectroscopic Characterization ◽  
Magnetic Interactions

Characterization of the solidification path of AlSi5Cu(1–4 wt.%) alloys using cooling curve analysis

JOM ◽  
2011 ◽  
Vol 63 (11) ◽  
pp. 51-57 ◽  
Author(s):  
Mile B. Djurdjevic ◽  
Zoran Odanovic ◽  
Nadezda Talijan
Keyword(s):  
Solidification Path ◽  
Curve Analysis ◽  
Cooling Curve ◽  
Cooling Curve Analysis
Sign in / Sign up

Export Citation Format

Share Document