An effective and performing hysteresis model, based on a deep neural network, with the capability to reproduce evolution of magnetization processes under arbitrary waveforms excitation is here presented. The proposed model consists standalone multi-layer feed-forward reserved input neurons for past values both (H) output (M), aiming at reproduction storage mechanism typical hysteretic systems. training set has been opportunely prepared starting from simulations, performed by Preisach model....

Rotational magnetizations of an Ni-Fe alloy are simulated using two different computer modeling approaches, physical and phenomenological. The first one is a model defined single hysteron operator based on the Stoner Wohlfarth theory second suitable system neural networks. models identified validated experimental data, and, finally, example their application for finite-element analysis given.

The oil and gas industry, constantly evolving, has greatly benefited from significant technological innovations, especially in drilling. Oklahoma stands out as a hub of progress, with important milestones such the drilling state's fastest well using Rotary Steerable Systems (RSS). This advancement exemplifies growing importance automation, real-time monitoring, optimized strategies to improve speed precision complex formations. RSS enables continuous rotation drill string, reducing friction,...

Recent advancements in drilling technologies have significantly improved operational efficiency and sustainability the Permian Basin, one of world’s most important oil gas production hubs. Innovations such as integration digital systems, optimization bottom hole assemblies (BHAs), Managed Pressure Drilling (MPD) contributed to faster well completions, reduced costs, minimized environmental impact. A record-breaking was completed using real-time data analysis high-performance equipment,...

This study explores technological innovations and the geomechanical challenges associated with drilling operations in Midland Basin, focusing on emerging technologies that optimize efficiency sustainability hydrocarbon exploration. The research was conducted through a bibliographic review of relevant scientific sources, such as academic articles, conferences, technical reports. analysis focused directional control technologies, rotary steering systems real-time monitoring, which enable...

ABSTRACT Artificial intelligence (AI) has increasingly integrated into daily life, with numerous industries adopting AI‐driven systems to enhance services and automate repetitive tasks. The present work examines for the first time short‐term effects of interacting an AI‐based agent in domain on self‐efficacy, self‐objectification beliefs free will. In second studies, scenarios describing process evaluating candidates a job position were used test AI (vs. human recruiter) third study,...

An advanced magnetic hysteresis modelling, exploiting the Preisach theory and neural networks, is applied discussed for simulation of magnetization processes components made by laser powder bed fusion. Silicon iron samples with different percentage silicon content are used evaluation accuracy reliability proposed approach. Measurements loops energy losses compared computed results amplitudes frequency rates. This approach presented evaluated here to provide a method accurate representation...

Abstract This paper deals with possible optimization‐based techniques for the identification of parameters Preisach‐inspired phenomenological model vector hysteresis in ferromagnetic materials. After a summary key features mentioned above, description technique proposed is given. The based on suitable pattern search algorithm and standard measurements. Results FeSi Non‐Oriented Grains steel NOG are presented discussed.

The single hysteron model is identified to reconstruct the magnetization processes of a grain-oriented electrical steel and it implemented in finite-element scheme. involves Zeeman energy anisotropy material an interaction field take into account others terms, such as magnetoelastic energy, exchange inclusions, crystallographic discontinuities. evaluated experimentally using round rotational sheet tester, where disk sample excited for several processes. Details about scheme, computational...

This article focuses on a protection system from lightning indirect effects applicable to power converters for avionic applications. The case study considered in this is dc-dc pulsewidth modulation buck-boost converter protected by metal oxide varistor and series inductive blocking element. investigated when operated normal operating conditions, under strokes without protection, with protection. A numerical model of the based finite-difference time-domain scheme proposed. Validation...

This article presents a discussion on the main approaches for characterization and modeling of dynamic energy losses non-grain-oriented (NGO) electrical steel excited with either sinusoidal or non-sinusoidal magnetic inductions. The experimental analysis is carried out via an Epstein frame, where efficient feedback algorithm implemented to control magnetic-induction waveform. Different are tested reproduce losses, including analytic equations hysteresis model, based solution diffusion...

A neural network model to predict the dynamic hysteresis loops and energy-loss curves (i.e., energy versus amplitude of magnetic induction) soft ferromagnetic materials at different operating frequencies is proposed herein. Firstly, an innovative Fe-Si alloy, grade 35H270, experimentally characterized via Epstein frame in a wide range frequencies, from 1 Hz up 600 Hz. Parts obtained through experiments are involved training feedforward network, while remaining ones considered validate model....

This paper presents an experimental analysis of the rotational power losses magnetic materials transformers, motors and actuators used in avionic environment. A large frequency range is investigated using a suitable test frame developed to measure for circular magnetization. The results about different silicon iron alloys with textures thickness are considered compared.

In this paper, a technique based on contactless magnetic measurements is described to evaluate the orientation of crystal grains in grain-oriented ferromagnetic materials. It shown that both major easy axis, with respect rolling direction, and angle out-of-plane axes lamination plane, could be evaluated from non-invasive by analysis lag plots. The measured data have compared simulations single grain estimate its effects local in-plane anisotropy.

A computationally efficient hysteresis model, based on a standalone deep neural network, with the capability of reproducing evolution magnetization under arbitrary excitations, is here presented and applied in simulation commercial grain-oriented electrical steel sheet. The main novelty proposed approach to embed past history dependence, typical hysteretic materials, net, illustrate an optimized training procedure. Firstly, experimental investigation was carried out sample GO by means...

Abstract The numerical modeling of magnetic materials in simulators is a difficult task, above all real devices with specific excitation. aim this work to compare the accuracy scalar and vector Preisach models well know test benchmark: TEAM 32 problem. availability measured data for benchmark simple geometry allow us build hysteresis them 2D finite element analysis (FEA) scheme. formulation each model implemented described, including technique identification parameters starting from data....

Grain oriented steels are widely used for electrical machines and components, such as transformers reactors, due to their high magnetic permeability low power losses. These outstanding properties the crystalline structure known Goss texture, obtained by a suitable process that is well-known in widespread use among industrial producers of ferromagnetic steel sheets. One most interesting research areas this field has been development non-destructive methods quality assessment texture. In...