Space Mapping Optimization of the Magnetic Circuit of Electrical Machines Including Local Material Degradation

2007 ◽  
Vol 43 (6) ◽  
pp. 2609-2611 ◽  
Author(s):  
Guillaume Crevecoeur ◽  
Luc Dupr ◽  
Rik Van de Walle
Keyword(s):  
Magnetic Circuit ◽  
Space Mapping ◽  
Electrical Machines ◽  
Material Degradation ◽  
Local Material

scholarly journals Identification of Mode Shapes of a Composite Cylinder Using Convolutional Neural Networks

Materials ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 2801
Author(s):  
Bartosz Miller ◽  
Leonard Ziemiański
Keyword(s):  
Neural Networks ◽  
Convolutional Neural Networks ◽  
Composite Structures ◽  
Three Dimensional ◽  
Mode Shapes ◽  
Identification Algorithm ◽  
Material Degradation ◽  
Local Material ◽  
Noisy Input ◽  
Shape Vector

The aim of the following paper is to discuss a newly developed approach for the identification of vibration mode shapes of multilayer composite structures. To overcome the limitations of the approaches based on image analysis (two-dimensional structures, high spatial resolution of mode shapes description), convolutional neural networks (CNNs) are applied to create a three-dimensional mode shapes identification algorithm with a significantly reduced number of mode shape vector coordinates. The CNN-based procedure is accurate, effective, and robust to noisy input data. The appearance of local damage is not an obstacle. The change of the material and the occurrence of local material degradation do not affect the accuracy of the method. Moreover, the application of the proposed identification method allows identifying the material degradation occurrence.

scholarly journals A Multiscale Approach to Polycrystalline Materials Damage and Failure

2014 ◽  
Vol 627 ◽  
pp. 33-36 ◽  
Author(s):  
Ivano Benedetti ◽  
M.H. Aliabadi
Keyword(s):  
Three Dimensional ◽  
Polycrystalline Materials ◽  
Multiscale Approach ◽  
Damage Localization ◽  
Dimensional Approach ◽  
Material Degradation ◽  
Component Level ◽  
Damage And Failure ◽  
Local Material ◽  
Macro Scale

A two-scale three-dimensional approach for degradation and failure in polycrystalline materials is presented. The method involves the component level and the grain scale. The damage-induced softening at the macroscale is modelled employing an initial stress boundary element approach. The microscopic degradation is explicitly modelled associating Representative Volume Elements (RVEs) to relevant points of the macro continuum and employing a cohesive-frictional 3D grain-boundary formulation to simulate intergranular degradation and failure in the Voronoi morphology. Macro-strains are downscaled as RVEs' periodic boundary conditions, while overall macro-stresses are obtained upscaling the micro-stress field via volume averages. The comparison between effective macro-stresses for the damaged and undamaged RVEs allows to define a macroscopic measure of local material degradation. Some attention is devoted to avoiding pathological damage localization at the macro-scale. The multiscale processing algorithm is described and some preliminary results are illustrated.

Influences of Material Degradation Due to Laser Cutting on the Operating Behavior of PMSM Using a Continuous Local Material Model

2017 ◽  
Vol 53 (3) ◽  
pp. 1978-1984 ◽  
Author(s):  
Silas Elfgen ◽  
Simon Steentjes ◽  
Stefan Bohmer ◽  
David Franck ◽  
Kay Hameyer
Keyword(s):  
Laser Cutting ◽  
Material Model ◽  
Material Degradation ◽  
Local Material

Continuous local material model for the mechanical stress-dependency of magnetic properties in non-oriented electrical steel

2019 ◽  
Vol 38 (4) ◽  
pp. 1075-1084 ◽  
Author(s):  
Jan Karthaus ◽  
Silas Elfgen ◽  
Kay Hameyer
Keyword(s):  
Magnetic Properties ◽  
Stress Distribution ◽  
Mechanical Stress ◽  
Electrical Steel ◽  
Material Model ◽  
Electrical Machines ◽  
Magnetic Flux Density ◽  
Content Type ◽  
Local Material ◽  
Stress Dependent

Purpose Magnetic properties of electrical steel are affected by mechanical stress. In electrical machines, influences because of manufacturing and assembling and because of operation cause a mechanical stress distribution inside the steel lamination. The purpose of this study is to analyse the local mechanical stress distribution and its consequences for the magnetic properties which must be considered when designing electrical machines. Design/methodology/approach In this paper, an approach for modelling stress-dependent magnetic material properties such as magnetic flux density using a continuous local material model is presented. Findings The presented model shows a good approximation to measurement results for mechanical tensile stress up to 100 MPa for the studied material. Originality/value The presented model allows a simple determination of model parameters by using stress-dependent magnetic material measurements. The model can also be used to determine a scalar mechanical stress distribution by using a known magnetic flux density distribution.

Method for determining of the optimal thickness of sheets of magnetic cores of electrical machines by the wattmeter method

Metrologiya ◽  
2021 ◽  
pp. 35-47
Author(s):  
S. M. Plotnikov
Keyword(s):  
Electrical Steel ◽  
Magnetic Circuit ◽  
Electric Machine ◽  
Electrical Machines ◽  
Magnetic Losses ◽  
Optimal Thickness ◽  
Steel Sheets ◽  
Magnetic Circuits ◽  
Magnetic Cores ◽  
Anisotropic Steel

The problem of reducing magnetic losses (no-load losses) in the steel of the magnetic cores of electrical machines is investigated. The tasc of determining the optimal thickness of steel sheets of the magnetic circuit of an electric machine is considered. The criterion for optimality is the minimum power of magnetic losses in steel. Currently, this problem does not have an exact solution due to the fact that the exact ratio of the hysteresis and eddy current components of magnetic losses in steel is unknown. Analyzed the power of magnetic losses in modern electrical machines and devices, depending on the thickness of the sheets of electrical steel. A method is proposed for determining the optimal thickness of steel sheets of the magnetic circuit of an electric machine based on the wattmeter method. In the course of the experiment, two identical magnetic circuits were selected from steel sheets of different thicknesses, for which the losses in steel were measured at different frequencies of magnetization reversal and the optimal thickness of the sheets was calculated. The proposed formula for calculating the thickness of the sheets is valid for both isotropic and anisotropic steel. The proposed technique can be used for both transformers and electric motors and generators.

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