| Zugriffsnummer | 39506 |
| Dokumenttyp | Konferenzartikel |
| Sprache | Englisch |
| Titel | LDV-bias corrections for flow rate prediction in turbulent pipe flow |
| Übersetzungstitel | LDV-Bias-Korrekturverfahren zur Volumenstrombestimmung in turbulenten Rohrströmungen |
| Autor(in); Institution |
Weissenbrunner, Andreas; 7.5, Wärme und Vakuum, PTB-Berlin
Steinbock, Jonas; 7.5, Wärme und Vakuum, PTB-Berlin
Eichler, Thomas; 7.5, Wärme und Vakuum, PTB-Berlin
Hübert, W.; Toptolution Messtechnik GmbH, Lörrach, GERMANY
Thamsen, P. U.; Technische Universität Berlin, Fachgebiet Fluidsystemdynamik, Berlin, GERMANY
|
| Quelle/Jahr | Experimentelle Strömungsmechanik: 25. Fachtagung, 5.-7. September 2017, Karlsruhe:(2017), 49-1 - 49-9 |
| ISSN | 2194-2447 |
| ISBN | 978-3-9816764-3-3 |
| URL | |
| Verlag | Karlsruhe: Deutsche Gesellschaft für Laser-Anemometrie GALA e.V. |
| Konferenzangaben | 25. Fachtagung "Experimentelle Strömungsmechanik", Karlsruhe, 05-07 September 2017, Deutschland |
| Zusammenfassung | Laser-optical measurement techniques in pipes are commonly applied for flow diagnostics. More recently they are also used to determine the flow rate. Therefore uncertainties must be sufficiently low to be competitive with conventional flow meters. In this contribution the implication of the bias effect on flow rate prediction in turbulent pipe flow is investigated. LDV data sets from two different test rigs are evaluated and compared to reference flow rate measurements. An overestimation of the flow rate of 1 % for fully developed and 1.8 % in disturbed flow conditions is stated. Furthermore 3 bias correction methods are applied. The combined method of inverse velocity magnitude and trapezoidal time weighting exhibits the best results for fully developed conditions as it eliminates the bias effect almost completely. In disturbed flow conditions this method is over correcting the bias effect. Overall the inverse velocity magnitude weighting exhibits the lowest absolute errors. All bias correction methods provide lower absolute errors then the arithmetic average. Therefore the application of a bias correction is recommended. |
