Review of Play and Preisach Models for Hysteresis in Magnetic Materials.

Materials (Basel)

Division of Electricity, Department of Electrical Engineering, Uppsala University, 75121 Uppsala, Sweden.

Published: March 2023

This paper studies the properties of the Preisach model and the play model, and compare their similarities. Both are history-dependent hysteresis models that are used to model magnetic hysteresis. They are described as discrete sums of simple hysteresis operators but can easily be reformulated as integral equations of continuous distribution functions using either a Preisach weight distribution function or a play distribution function. The models are mostly seen as phenomenological or mathematical tools but can also be related to friction-like pinning of domain-wall motions, where Rayleigh's law of magnetic hysteresis can be seen as the simplest case on either the play model or the Preisach model. They are poor at modeling other domain behavior, such as nucleation-driven hysteresis. Yet another hysteresis model is the stop model, which can be seen as the inverted version of the play model. This type of model has advantages for expressions linked to energy and can be related to Steinmetz equation of hysteresis losses. The models share several mathematical properties, such as the congruency property and wiping-out property, and both models have a history of dependence that can be described by the series of past reversal points. More generally, it is shown that the many models can be expressed as Preisach models, showing that they can be treated as subcategories of the Preisach type models. These include the play model, the stop model and also the alternative KP-hysteron model.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10051722PMC
http://dx.doi.org/10.3390/ma16062422DOI Listing

Publication Analysis

Top Keywords

play model
16
model
12
models
8
preisach models
8
hysteresis
8
preisach model
8
magnetic hysteresis
8
distribution function
8
model model
8
preisach
6

Similar Publications

IL-27 is structurally an immune-enhancing and pleiotropic two-chain cytokine associated with IL-12 and IL-6 families. IL-27 contains two subunits, namely IL-27p28 and EBI3. A heterodimer receptor of IL-27, composed of IL27Rα (WSX1) and IL6ST (gp130) chains, mediates the IL-27 function following the activation of STAT1 and STAT3 signaling pathways.

View Article and Find Full Text PDF

Background: There is a global need for synthetic speech development in multiple languages and dialects, as many children who cannot communicate using their natural voice struggle to find synthetic voices on high-technology devices that match their age, social and linguistic background.

Aims: To document multiple stakeholders' perspectives surrounding the quality, acceptability and utility of newly created synthetic speech in three under-resourced South African languages, namely South African English, Afrikaans and isiXhosa.

Methods & Procedures: A mixed methods research design was selected.

View Article and Find Full Text PDF

Pregnant women with congenital heart disease carry a high risk of complications, especially when cardiac function is suboptimal. Increasing evidence suggests that impaired right ventricular (RV) function has a negative effect on placental function, possibly through venous congestion. We report a case series of hepatic and renal venous flow patterns in pregnant women with right ventricular dysfunction after repaired Tetralogy of Fallot (ToF), relative to those observed in normal pregnancy and preeclampsia.

View Article and Find Full Text PDF

Recent advancements in Earth Observation sensors, improved accessibility to imagery and the development of corresponding processing tools have significantly empowered researchers to extract insights from Multisource Remote Sensing. This study aims to use these technologies for mapping summer and winter Land Use/Land Cover features in Cuenca de la Laguna Merín, Uruguay, while comparing the performance of Random Forests, Support Vector Machines, and Gradient-Boosting Tree classifiers. The materials include Sentinel-2, Sentinel-1 and Shuttle Radar Topography Mission imagery, Google Earth Engine, training and validation datasets and quoted classifiers.

View Article and Find Full Text PDF
Article Synopsis
  • The study examines how deep learning can compare gait cycle time series from healthy children assessed in two different labs using similar protocols.
  • Researchers used a ResNet-based model that effectively identified the source of each dataset with high accuracy by analyzing various gait parameters.
  • The findings highlight the need for standardized protocols and effective data pre-processing to improve the consistency and applicability of machine learning models in clinical environments.
View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!