Computational modeling of flow rate measurements using an orifice flow meter

Yi Qin Xu, Yulia Peet, Daniel Coxe, Taewoo Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

This study is concerned with understanding and improvement of mass flow rate measurement uncertainty and errors encountered at low flow rates and start-up in commercially available flow rate measurement devices, such as orifice flow meters. The flow through a typical cylindrical flange-tapped orifice flow meter is modeled computationally so the actual mass flow rate is known a-priori. Empirical predictions from the reading of “virtual” pressure sensors are compared with the actual flow rate and the measurement errors are quantified and analyzed. Commercial code ANSYS-Fluent is compared in this study to the in-house high-fidelity spectral-element solver Nek5000, so that conclusions about the applicability of a commercial code to the calculations of measurement uncertainty in the orifice flow meters can be made.

Original languageEnglish (US)
Title of host publicationDevelopment and Applications in Computational Fluid Dynamics; Industrial and Environmental Applications of Fluid Mechanics; Fluid Measurement and Instrumentation; Cavitation and Phase Change
PublisherAmerican Society of Mechanical Engineers (ASME)
Volume2
ISBN (Electronic)9780791851562
DOIs
StatePublished - Jan 1 2018
EventASME 2018 5th Joint US-European Fluids Engineering Division Summer Meeting, FEDSM 2018 - Montreal, Canada
Duration: Jul 15 2018Jul 20 2018

Other

OtherASME 2018 5th Joint US-European Fluids Engineering Division Summer Meeting, FEDSM 2018
CountryCanada
CityMontreal
Period7/15/187/20/18

ASJC Scopus subject areas

  • Mechanical Engineering

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