10.5061/DRYAD.Q2102
Lehtikangas, Ossi
University of Eastern Finland
Karhunen, Kimmo
University of Eastern Finland
Vauhkonen, Marko
University of Eastern Finland
Data from: Reconstruction of velocity fields in electromagnetic flow tomography
Dryad
dataset
2017
computer modelling and simulation
mathematical modelling
multi-electrode electromagnetic flow meter
Electromagnetism
inverse problems
computational physics
finite-element method
flow tomography
potential distribution
velocity field reconstruction
2017-04-04T00:00:00Z
2017-04-04T00:00:00Z
en
https://doi.org/10.1098/rsta.2015.0334
80199842 bytes
1
CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
Electromagnetic flow meters (EMFMs) are the gold standard in measuring
flow velocity in process industry. The flow meters can measure the mean
flow velocity of conductive liquids and slurries. A drawback of this
approach is that the velocity field cannot be determined. Asymmetric axial
flows, often encountered in multiphase flows, pipe elbows and T-junctions,
are problematic and can lead to serious systematic errors. Recently,
electromagnetic flow tomography (EMFT) has been proposed for measuring
velocity fields using several coils and a set of electrodes attached to
the surface of the pipe. In this work, a velocity field reconstruction
method for EMFT is proposed. The method uses a previously developed
finite-element-based computational forward model for computing boundary
voltages and a Bayesian framework for inverse problems. In the approach,
the vz-component of the velocity field along the longitudinal axis of the
pipe is estimated on the pipe cross section. Different asymmetric velocity
fields encountered near pipe elbows, solids-in-water flows in inclined
pipes and in stratified or multiphase flows are tested. The results
suggest that the proposed reconstruction method could be used to estimate
velocity fields in complicated pipe flows in which the conventional EMFMs
have limited accuracy.
Data of the articleCode and data to reproduce all figures of the
article.EMFT_inverse_figures_package.zip