Combined Preisach–Mayergoyz-neural-network vector hysteresis model for electrical steel sheets

2003 ◽  
Vol 93 (10) ◽  
pp. 6638-6640 ◽  
Author(s):  
Dimitre Makaveev ◽  
Luc Dupré ◽  
Marc De Wulf ◽  
Jan Melkebeek
Keyword(s):  
Neural Network ◽  
Electrical Steel ◽  
Hysteresis Model ◽  
Steel Sheets ◽  
Electrical Steel Sheets

scholarly journals Prediction of Kerf Width in Laser Cutting of Thin Non-Oriented Electrical Steel Sheets Using Convolutional Neural Network

Mathematics ◽  
2021 ◽  
Vol 9 (18) ◽  
pp. 2261
Author(s):  
Dinh-Tu Nguyen ◽  
Jeng-Rong Ho ◽  
Pi-Cheng Tung ◽  
Chih-Kuang Lin
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Laser Cutting ◽  
Electrical Steel ◽  
Cutting Speed ◽  
Pulse Frequency ◽  
Kerf Width ◽  
Percentage Error ◽  
Steel Sheets ◽  
Electrical Steel Sheets

Kerf width is one of the most important quality items in cutting of thin metallic sheets. The aim of this study was to develop a convolutional neural network (CNN) model for analysis and prediction of kerf width in laser cutting of thin non-oriented electrical steel sheets. Three input process parameters were considered, namely, laser power, cutting speed, and pulse frequency, while one output parameter, kerf width, was evaluated. In total, 40 sets of experimental data were obtained for development of the CNN model, including 36 sets for training with k-fold cross-validation and four sets for testing. Compared with a deep neural network (DNN) model and an extreme learning machine (ELM) model, the developed CNN model had the lowest mean absolute percentage error (MAPE) of 4.76% for the final test dataset in predicting kerf width. This indicates that the proposed CNN model is an appropriate model for kerf width prediction in laser cutting of thin non-oriented electrical steel sheets.

Modeling anisotropic magnetic hysteresis properties with vector stop model by using finite element method

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Xiao Xiao ◽  
Fabian Müller ◽  
Martin Marco Nell ◽  
Kay Hameyer
Keyword(s):  
Finite Elements ◽  
Electrical Steel ◽  
Magnetic Hysteresis ◽  
Electrical Machines ◽  
Hysteresis Model ◽  
Time Step ◽  
Content Type ◽  
Steel Sheets ◽  
Electrical Steel Sheets ◽  
Finite Elements Simulation

Purpose This paper aims to use a history-dependent vector stop hysteresis model incorporated into a two dimensional finite elements (FE) simulation environment to solve the magnetic field problems in electrical machines. The vector stop hysteresis model is valid for representing the anisotropic magnetization characteristics of electrical steel sheets. Comparisons of the simulated results with measurements show that the model is well appropriate for the simulation of electrical machines with alternating, rotating and harmonic magnetic flux densities. Design/methodology/approach The anisotropy of the permeability of an electrical steel sheet can be represented by integrating anhysteretic surfaces into the elastic element of a vector hysteresis stop model. The parameters of the vector stop hysteresis model were identified by minimizing the errors between the simulated results and measurements. In this paper, a damped Newton method is applied to solve the nonlinear problem, which ensures a robust convergence of the finite elements simulation with vector stop hysteresis model. Findings Analyzing the measurements of the electrical steel sheets sample obtained from a rotational single sheet tester shows the importance to consider the anisotropic and saturation behavior of the material. Comparing the calculated and measured data corroborates the hypothesis that the presented energy-based vector stop hysteresis model is able to represent these magnetic properties appropriately. To ensure a unique way of hysteresis loops during finite elements simulation, the memory of the vector stop hysteresis model from last time step is kept unchanged during the Newton iterations. Originality/value The results of this work demonstrates that the presented vector hysteresis stop model allows simulation of vector hysteresis effects of electrical steel sheets in electrical machines with a limited amount of measurements. The essential properties of the electrical steel sheets, such as phase shifts, the anisotropy of magnetizations and the magnetization characteristics by alternating, rotating, harmonic magnetization types, can be accurately represented.

Measuring Iron Loss of the Electrical Steel Sheets with Different Grades under Compressive Stress Normal to the Surface

2019 ◽  
Vol 139 (4) ◽  
pp. 190-196
Author(s):  
Shinya Urata ◽  
Yoshitaka Maeda ◽  
Hideo Nakai ◽  
Yuuya Takeuchi ◽  
Kyyoul Yun ◽  
...  
Keyword(s):  
Compressive Stress ◽  
Electrical Steel ◽  
Iron Loss ◽  
Steel Sheets ◽  
Electrical Steel Sheets

Directional Properties of Cold Rolled Non-oriented Electrical Steel Sheets

2013 ◽  
Vol 67 (1) ◽  
pp. 131-135 ◽  
Author(s):  
D. Prusty ◽  
H. K. Pradhan ◽  
V. D. Hiwarkar ◽  
S. K. Sahoo
Keyword(s):  
Electrical Steel ◽  
Steel Sheets ◽  
Cold Rolled ◽  
Electrical Steel Sheets

scholarly journals Anisotropy of Magnetic Properties in Non-oriented Electrical Steel Sheets

1989 ◽  
Vol 11 (2-4) ◽  
pp. 159-170 ◽  
Author(s):  
M. Shiozaki ◽  
Y. Kurosaki
Keyword(s):  
Magnetic Properties ◽  
Magnetic Induction ◽  
Crystallographic Orientation ◽  
Electrical Steel ◽  
Core Loss ◽  
Fluorescent Lamp ◽  
Steel Sheets ◽  
The Core ◽  
Texture Change ◽  
Electrical Steel Sheets

The anisotropy of magnetic properties in non-oriented electrical steel sheets can be evaluated by measuring Epstein specimens in the radial directions. The magnetic properties measured on ring cores are practically equal to the approximate values of magnetic properties determined by Epstein specimens in the radial directions. Non-oriented electrical steel sheets with anisotropy are not desirable for motors but are suitable for transformers and fluorescent lamp ballasts. The core loss and magnetic induction as measured with ring specimens are better with non-oriented electrical steel sheets with anisotropy than with non-oriented electrical steel sheets with random crystallographic orientation. This phenomenon depends on the texture change of the product.

Sign in / Sign up

Export Citation Format

Share Document