Numerical solution of coupled problems using code Agros2D

Karban, Pavel; Mach, František; Kůs, Pavel; Pánek, David; Doležel, Ivo

doi:10.1007/s00607-013-0294-4

Cited by 90 publications

(43 citation statements)

References 17 publications

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“…Due to the increased accuracy, the appropriate solution of the different physical fields leads to solve elliptic integrals, second order Bessel-functions etc. These partial differential equations can be solved by numerical methods in reasonable time and accuracy [1,[82][83][84][85][86][87][88][89][90][91][92][93][94][95][96][97][98][99][100][101].…”

Section: Analytical Cost Optimization Methodsmentioning

confidence: 99%

“…The main weakness of this design method is that the f 1 and f 2 formulas contains the ratio of the core diameter and the working window as a constraint. However, this ratio depends on many other key-design parameters, like the current density, rated voltage and the rated power of the windings [98]. The optimal yoke-leg ratio from this calculation algorithm is between 3 4 4 .…”

Section: Analytical Cost Optimization Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Evolution and Modern Approaches of the Power Transformer Cost Optimization Methods

Orosz

2019

Period. Polytech. Elec. Eng. Comp. Sci.

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Transformer design is a challenging engineering task, where the different physical fields have to be harmonized together to fulfill the implied specifications. Due to the difficulty of this task, it can be separated into several subproblems. The first subproblem, in the pre-concept phase, during the transformer design is the calculation of the cost optimal key-design parameters, where not only the technical but also the economical parameters have to be considered, as well. This subproblem belongs to the most general branch of the non-linear mathematical optimization problems. This paper presents the main directions of the evolution and trends in the power transformer design. Main directions of the considered research and the future trends in the field of preliminary design transformer optimization methods are summarized.

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Section: Analytical Cost Optimization Methodsmentioning

confidence: 99%

Section: Analytical Cost Optimization Methodsmentioning

confidence: 99%

Evolution and Modern Approaches of the Power Transformer Cost Optimization Methods

Orosz

2019

Period. Polytech. Elec. Eng. Comp. Sci.

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“…Written in Python, it is mainly inspired by projects OpenMDAO [29] and Platypus [30].Ārtap aims to provide an extensive infrastructure for robust design optimization problems [31][32][33] in a simple, user friendly way. Moreover, it contains an integrated FEM solver Agros-Suite [34], which is used in this paper for the FEM calculations. These implemented tools offers an easy and straightforward solution for that very frequent engineering problems, where more, different numerical solvers and codes are used to evaluate one specific solution.Ārtap offers a wide variety of optimization algorithms, some of them coded directly (NSGA-II [35], PSO [36], Eps-Moea [37], etc.)…”

Section: 4ārtapmentioning

confidence: 99%

FEM Based Preliminary Design Optimization in Case of Large Power Transformers

2020

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Since large power transformers are custom-made, and their design process is a labor-intensive task, their design process is split into different parts. In tendering, the price calculation is based on the preliminary design of the transformer. Due to the complexity of this task, it belongs to the most general branch of discrete, non-linear mathematical optimization problems. Most of the published algorithms are using a copper filling factor based winding model to calculate the main dimensions of the transformer during this first, preliminary design step. Therefore, these cost optimization methods are not considering the detailed winding layout and the conductor dimensions. However, the knowledge of the exact conductor dimensions is essential to calculate the thermal behaviour of the windings and make a more accurate stray loss calculation. The paper presents a novel, evolutionary algorithm-based transformer optimization method which can determine the optimal conductor shape for the windings during this examined preliminary design stage. The accuracy of the presented FEM method was tested on an existing transformer design. Then the results of the proposed optimization method have been compared with a validated transformer design optimization algorithm.

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“…The algorithms are implemented in the C++ library Hermes [7] and it is used in the Agros2D application [8], [9]. Both codes have been developed by the group at the University of West Bohemia in Pilsen for a couple of years.…”

Section: Numerical Solutionmentioning

confidence: 99%

Numerical calculation and experimental verification of forces during regulation of permanent magnet

Koudela

2014

2014 Elektro

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Many technical applications (manipulators, actua tors, clamping devices, etc.) take advantage from the fact that the magnetic field strength and thus magnetic holding force of permanent magnets may temporarily be affected (decreased or increased) by suitably oriented external magnetic field. This field is usually generated by an appropriate direct current carrying coil. In this paper, this fact is quantified by numerical analysis and the results are verified by experimental measurement on a real device. The particular attention is given to the dependence of the holding force of the permanent magnet on the excitation current.

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Numerical solution of coupled problems using code Agros2D

Cited by 90 publications

References 17 publications

Evolution and Modern Approaches of the Power Transformer Cost Optimization Methods

Evolution and Modern Approaches of the Power Transformer Cost Optimization Methods

FEM Based Preliminary Design Optimization in Case of Large Power Transformers

Numerical calculation and experimental verification of forces during regulation of permanent magnet

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