Computing and Library Services - delivering an inspiring information environment

A Novel Technique to Reduce Measurement Errors due to Flow–Sensor Interactions in Multi-‎Sensor Conductivity Probes

Albarzenji, Dlir and Mishra, Rakesh (2017) A Novel Technique to Reduce Measurement Errors due to Flow–Sensor Interactions in Multi-‎Sensor Conductivity Probes. In: COMADEM 2017, 10-13 July 2017, University of Central Lancaster, UK. (Unpublished)

PDF - Accepted Version
Download (331kB) | Preview


Multi-sensor conductivity probes rely on multiple sensors intruding into the flow field for the measurement
of conductivity variations. This may cause sensors to deflect due to flow-sensor and flow-body interactions.
Since this deflection relocates the sensor tips causing inaccuracy in the flow property measurements, many
techniques have been used to overcome this issue [1-6]; such as increasing the sensors diameter and
reducing the sensors length. However, most of these methods increase the bubble-sensor interactions. In the
present work, a novel technique has been developed with the aid of Computational Fluid Dynamics (CFD)
and Finite Element Analysis (FEA) based solvers to reduce the errors that may arise because of the sensor’s
and probes body’s deflections. The developed technique compensates for the errors within the signal
processing stage. The CFD model has been validated against experimental data obtained from the literature.
Different variables have been investigated to quantify the sensor tip relocation process as a function of pipe
diameter, flow velocity and radial probe locations. The results have been presented in the form of
mathematical equations using multiple variable regression analyses, and thereafter embedded into the signal
processing code.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: CFD; FEA; Two-phase flow measurement; Four-sensor probe
Subjects: T Technology > TJ Mechanical engineering and machinery
Schools: School of Computing and Engineering
School of Computing and Engineering > Diagnostic Engineering Research Centre > Energy, Emissions and the Environment Research Group
Related URLs:
Depositing User: Dlir Albarzenji
Date Deposited: 11 Aug 2017 13:02
Last Modified: 28 Aug 2021 15:47


Downloads per month over past year

Repository Staff Only: item control page

View Item View Item

University of Huddersfield, Queensgate, Huddersfield, HD1 3DH Copyright and Disclaimer All rights reserved ©