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.
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ASME 2018 5th Joint US-European Fluids Engineering Division Summer Meeting
July 15–20, 2018
Montreal, Quebec, Canada
Conference Sponsors:
- Fluids Engineering Division
ISBN:
978-0-7918-5156-2
PROCEEDINGS PAPER
Computational Modeling of Flow Rate Measurements Using an Orifice Flow Meter
Daniel Coxe,
Daniel Coxe
Arizona State University, Tempe, AZ
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Yulia Peet,
Yulia Peet
Arizona State University, Tempe, AZ
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Taewoo Lee
Taewoo Lee
Arizona State University, Tempe, AZ
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YiQin Xu
Arizona State University, Tempe, AZ
Daniel Coxe
Arizona State University, Tempe, AZ
Yulia Peet
Arizona State University, Tempe, AZ
Taewoo Lee
Arizona State University, Tempe, AZ
Paper No:
FEDSM2018-83296, V002T14A011; 10 pages
Published Online:
October 24, 2018
Citation
Xu, Y, Coxe, D, Peet, Y, & Lee, T. "Computational Modeling of Flow Rate Measurements Using an Orifice Flow Meter." Proceedings of the ASME 2018 5th Joint US-European Fluids Engineering Division Summer Meeting. Volume 2: Development and Applications in Computational Fluid Dynamics; Industrial and Environmental Applications of Fluid Mechanics; Fluid Measurement and Instrumentation; Cavitation and Phase Change. Montreal, Quebec, Canada. July 15–20, 2018. V002T14A011. ASME. https://doi.org/10.1115/FEDSM2018-83296
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