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Magnetic anisotropy under arbitrary excitation in finite element models

Bavendiek Gregor, Leuning Nora, Müller Fabian, Schauerte Benedikt, Thul Andreas, Hameyer Kay

Archives of Electrical Engineering

2019

Vol. 68, nr 2

455--466

Magnetic properties of silicon iron electrical steel are determined by using standardized measurement setups and distinct excitation parameters. Characteristic values for magnetic loss and magnetization are used to select the most appropriate material for its application. This approach is not sufficient, because of the complex material behavior inside electrical machines, which can result in possible discrepancies between estimated and actual machine behavior. The materials’ anisotropy can be one of the problems why simulation and measurement are not in good accordance.With the help of a rotational single sheet tester, the magnetic material can be tested under application relevant field distribution. Thereby, additional effects of hysteresis and anisotropy can be characterized for detailed modelling and simulation.

ANN constitutive material model in the shakedown analysis of an aluminum structure

Potrzeszcz-Sut B., Pabisek E.

Computer Assisted Methods in Engineering and Science

2014

Vol. 21, no. 1

49--58

The paper presents the application of artificial neural networks (ANN) for description of the Ramberg-Osgood (RO) material model, representing the nonlinear strain-stress relationship of ε(σ). A neural model of material (NMM) is a feed-forward layered neural network (FLNN) whose parameters were determined using the penalized least squares (PLS) method. A FLNN performing the inverse problem: σ(ε), using pseudo empirical patterns, was developed. Two models of NMM were developed, i.e. a standard model (SNN) and a model based on Bayesian inference (BNN). The properties of the models were compared on the example of a reference truss structure. The computations were performed by means of the hybrid FEM/NMM program, in which NMM developed previously described the current model of the material, and made it possible to explicitly build a tangent operator Et = dσ/dε. The neural model of material was applied to the analysis of the shakedown of load carrying capacity of an aluminum truss.

Example of Tension Fabric Structure Analysis

Ambroziak A., Kłosowski P.

TASK Quarterly : scientific bulletin of Academic Computer Centre in Gdansk

2010

Vol. 14, No 1-2

5-14

The aim of this work is to examine two variants of non-linear strain-stress relations accepted for a description of the architectural fabric. A discussion on the fundamental equations of the dense net model used in the description of the coated woven fabric behaviour is presented. An analysis of tensile fabric structures subjected to dead load and initial pretension is described.