Application of PETSC and other useful packages in finite element simulation

Kuczmann, Miklós; Budai, Tamás; Kovács, Gergely; Marcsa, Dániel; Friedl, G.; Prukner, Péter; Unger, Tamás; Tomozi, György

doi:10.1556/pollack.8.2013.2.15

Cited by 5 publications

(3 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Finite element method [6,[8][9][10][11][12][13]] is a numerical technique developed for finding approximate solutions of differential equations. It is used to approximate analytically unsolvable or hardly solvable problems, such as electromagnetic, thermal, fluid, etc.…”

Section: Basics Of Nodal Finite Element Methodsmentioning

confidence: 99%

Application of Finite Element Method in High Frequency Simulations

Friedl

2014

Acta Tech Jaur

View full text Add to dashboard Cite

This paper is written in the frame of the usage of finite element method at high frequencies. Simulations in time and frequency domain have their own methodology, for example the setting of the excitations and boundary conditions. The paper presents the weak formulations of both domains derived from Maxwell's equations and from the Sommerfeld radiation condition, simulations in isotropic and linear media, and if it is possible, comparisons between the simulations and analytical results. The first part of the paper is about the theory of the electromagnetics, the form of the wave equations in time and frequency domain, and about the nodal finite element method. The second chapter is about deriving the weak forms, and about their implementation method. The final chapter shows the implementation of the finite element method, and some results simulated in time and frequency domain with different geometry and boundary conditions.

show abstract

Section: Basics Of Nodal Finite Element Methodsmentioning

confidence: 99%

Application of Finite Element Method in High Frequency Simulations

Friedl

2014

Acta Tech Jaur

View full text Add to dashboard Cite

show abstract

“…The only real disadvantage is that all factors that are important in the scope of the experiment must be taken into account during the simulation, which is often hard to implement and requires complex processing [4], therefore virtual laboratory solutions tend to have high system requirements. Fig.…”

Section: Fig 1 a Remote Laboratory Setupmentioning

confidence: 99%

Development of a VR capable virtual laboratory framework

Budai

Kuczmann

2018

Pollack Periodica

Self Cite

View full text Add to dashboard Cite

The aim of this paper is to introduce the design steps and implementation details of a system, which combines modern web-technologies and open-source simulation software to create a virtual laboratory framework. In order to validate the functionality of this framework and to demonstrate its capabilities, a classic experiment from the field of control theory was implemented; the inverted pendulum. In this experiment, a simulated controller keeps the rod of the pendulum in an upright position. Users can change different parameters of the model and then test the impact of these changes in a very intuitive and interactive way, by applying force to the pendulum model in 3D and observing the behavior of the controller.

show abstract

“…The geometry has been meshed by the help of first order triangular element generated by Gmsh (a three-dimensional finite element mesh generator with built-in pre-and post-processing facilities) [20]. The used mesh consists of 94389 first-order triangular elements, and the number of unknown potentials is 46048.…”

Section: Parallel Coupled Fem Modelmentioning

confidence: 99%

Finite element analysis of switched reluctance motor with rotor position based control

Marcsa¹,

Kuczmann²

2016

Pollack Periodica

Self Cite

View full text Add to dashboard Cite

This research presents a field-circuit coupled parallel finite element model of a switched reluctance motor embedded in a simple closed loop control system. The parallel numerical model is based on the Schur-complement method coupled with an iterative solver. The used control system is the rotor position based control, which is applied to the FEM model. The results and parallel performance of the voltage driven finite element model are compared with the results from the current driven model. Moreover, the results of the start-up of the loaded motor show why the model accuracy is important in the control loop.

show abstract

Application of PETSC and other useful packages in finite element simulation

Cited by 5 publications

References 4 publications

Application of Finite Element Method in High Frequency Simulations

Application of Finite Element Method in High Frequency Simulations

Development of a VR capable virtual laboratory framework

Finite element analysis of switched reluctance motor with rotor position based control

Contact Info

Product

Resources

About