Detailed CFD modeling of EMC screen for radio base stations: a benchmark study
2007 (English)In: IEEE transactions on components and packaging technologies, ISSN 1521-3331, E-ISSN 1557-9972, Vol. 30, no 4, p. 754-763Article in journal (Refereed) Published
Abstract [en]
The objective of this paper is to investigate the performance of five well-known turbulence models, in order to find a model that predicts the details of the flow patterns through an electromagnetic compatibility (EMC) screen. The turbulence models investigated in the present study are five different eddy-viscosity models; the standard k-epsilon model, the renormalization group (RNG) k-epsilon model, the realizable k-epsilon model, the standard k-omega model, as well as the shear stress transport k-w model. A steady-state 3-D detailed model, which serves as the most accurate representation of the model, was used in order to evaluate the details of the airflow paths and pressure field. The flow was assumed to be isothermal, turbulent and incompressible. A general model that covers a considerable range of velocities and geometries was validated experimentally by wind tunnel measurements. The result shows that for most of the k-epsilon models used with correct y(+) and mesh strategy, the pressure drop and the velocity field deviation is small compared to experimental data. The k-omega models overpredict the overall pressure drop. When using the RNG k-epsilon model, the total static pressure drop predicted differs around 5%-10% and the average velocity deviation at several locations before and after the screen is around 5%.
Place, publisher, year, edition, pages
2007. Vol. 30, no 4, p. 754-763
Keywords [en]
electromagnetic compatibility (EMC) screen, flow pattern, hot wire anemometer, inclined flow, k-omega, k-epsilon, perforated plate, porosity, pressure drop, renormalization group (RNG), subrack
National Category
Mechanical Engineering
Identifiers
URN: urn:nbn:se:hig:diva-22655DOI: 10.1109/TCAPT.2007.910048ISI: 000251431100028Scopus ID: 2-s2.0-36948999874OAI: oai:DiVA.org:hig-22655DiVA, id: diva2:1040196
2016-10-262016-10-262024-09-04Bibliographically approved