Abstract
Coriolis metering technology is widely applied throughout industry. In addition to the mass flow rate, a Coriolis meter can measure fluid density based on the resonant frequency of the flow tube vibration. There is currently increasing interest in utilising this density measurement capability as the primary process value in applications such as precision control for fluid property conditioning, and fluid contamination monitoring.
However, within these applications, ambient temperature variation can be significant.
This paper details research data obtained using NEL's ‘Very Low Flow’ single-phase facility. The rig was modified to include a programmable temperature enclosure in which a Coriolis meter was installed. Two commercial meter models from the same manufacturer were tested. Both meters showed fluid density errors when subjected to fluctuations in the surrounding ambient air temperature. The fluid properties of the test medium were confirmed to be stable using NEL's UKAS standard reference instrumentation.
Previous temperature effects research for Coriolis meters have focussed on the process fluid temperature and there is little published data on the effects of ambient temperature.
However, within these applications, ambient temperature variation can be significant.
This paper details research data obtained using NEL's ‘Very Low Flow’ single-phase facility. The rig was modified to include a programmable temperature enclosure in which a Coriolis meter was installed. Two commercial meter models from the same manufacturer were tested. Both meters showed fluid density errors when subjected to fluctuations in the surrounding ambient air temperature. The fluid properties of the test medium were confirmed to be stable using NEL's UKAS standard reference instrumentation.
Previous temperature effects research for Coriolis meters have focussed on the process fluid temperature and there is little published data on the effects of ambient temperature.
Original language | English |
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Article number | 101754 |
Number of pages | 8 |
Journal | Flow Measurement and Instrumentation |
Volume | 73 |
Early online date | 13 May 2020 |
DOIs | |
Publication status | Published - 1 Jun 2020 |
Bibliographical note
NOTICE: this is the author’s version of a work that was accepted for publication in Flow Measurement and Instrumentation. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Flow Measurement and Instrumentation, 73 (2020)DOI: 10.1016/j.flowmeasinst.2020.101754
© 2020, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/
Funder
Funded by the Department of Business, Energy and Industrial Strategy (BEIS) . Project number - FPRE05ASJC Scopus subject areas
- Modelling and Simulation
- Instrumentation
- Computer Science Applications
- Electrical and Electronic Engineering