FEM based robust design optimization with Agros and Ārtap

The paper presents how Ārtap can be used for determining the equivalent circuit parameters of a one phase transformer as a benchmark problem. The following unknown parameters of the equivalent circuit are identified: primary resistance and primary leakage reactance, secondary resistance and secondary leakage reactance, finally magnetizing resistance, and magnetizing reactance. The known quantities from measurement are the primary voltage, primary current, power factor, secondary voltage, and the load resistance. Algorithms implemented in Ārtap are used for determining the transformer parameters and the results are compared with the analytical solution.

Section: āRtap Frameworkmentioning

confidence: 99%

Transformer Model Identification by Ārtap

Kuczmann

Szűcs

Kovács

2021

“…Ārtap [27] is an MIT (Massachusetts Institute of Technology) licensed robust design optimization framework, which provides a user-friendly interface along with a good set of numerical solvers and optimization algorithms. Moreover, using Ārtap is highly beneficial due to its integrated FEM solver (Agros [28,29]), and its interconnection with several finite element (FE) solvers (COMSOL and others [27,30]).…”

Section: Introductionmentioning

confidence: 99%

Design Optimization of Permanent Magnet Clutch with Ārtap Framework

Andriushchenko

Kaska

Kallaste

et al. 2021

So far, Permanent Magnet (PM) clutches have been broadly used as torque transmission devices. With the aim of effective utilization of materials and energy in the manufacturing of PM clutches, design optimization has been widely applied. Generally, PM clutches are optimized applying linear dimensions as optimization parameters. On the contrary, optimization of PM clutch shapes has not been done extensively. Therefore, this paper performs optimization of PM clutch shapes with the following objectives: maximum tangential attraction force and minimum volume of utilized materials. To form optimal shapes, the points on the clutch surface are chosen as optimization parameters. The optimization is carried out using Ārtap framework in connection with COMSOL software, where the 3D model of the clutch has been created. After the optimization, the tangential attraction force has increased by 13 % and the volume of the clutch has been reduced by 24 %. Although the obtained shapes appear to be highly intricate, it does not pose an obstacle for modern manufacturing techniques.

“…In this paper, the Magnus Effect is achieved with Agros Suite [10], a multiplatform application for physical problems based on the Hermes and deal.II library. One of the most useful frameworks of Agros Suite is the Ārtap [11,12]. Ārtap framework provides a set of numerical solvers and optimization tools for robust design optimization of electrical machines [13,14].…”

Section: Introductionmentioning

confidence: 99%

Achieving of Magnus Effect with Agros Suite

Lukin

Demidova

Rassõlkin

2021

When the rotating body gets into the ambiance flow appears the lifting force, called Magnus Effect. That lifting force may be controlled by changing the revolution speed of the body. That phenomenon uses in many engineering applications like wind turbines and marine ships. In this paper, the Magnus Effect simulation is achieved with Agros Suite, a multiplatform application for the solution of physical problems. The article presents the nature of the Magnus Effect and discusses possible applications in engineering. The research question is focused on demonstrating the Magnus Effect with Agros Suite and evaluating the computational power of the personal computer that runs the simulation. The simulation is made keeping in mind the possible application of the Agros Suite tools for Magnus-Effect-based wind generator control algorithms optimization. The simulation result analysis shows that Agros Suite is a reliable tool in accessing and simulation of such phenomena.