Abstract

This paper investigates the measurement of liquid level in partially filled pipes utilizing an electrical noise signal (transformer signal) generated in electromagnetic flowmeter namely, transformer signal. The study was conducted by experiments and the collected data were analyzed statistically using Artificial Neural Network (ANN). The experimental study was achieved by building a laboratory rig containing the main parts of electromagnetic flowmeter. The main parameters which have been studied were the liquid level, magnetic field strength (  = 0.00809T, 0.03308T, 0.05301T), liquid temperature (  = 11º  to 21.5º ) and liquid electrical conductivity (  = 0.11225, 3.08, 210, mS/cm). The collected data were analyzed using the back propagation neural network technique included in Matlab software 2009. The results show that the transformer signal is greatly influenced by variations of the liquid level inside partially filled electromagnetic flowmeter. The electrode position of (  = 160º) has had the strongest response to liquid level. The electrode position effect on the transformer signal is the greatest compared with that of the liquid temperature and the strength of the magnetic field. Generally, the transformer signal was found to be an increasing function with decreasing of liquid level.

Highlights

  • Electromagnetic flowmeter (EMF) is a non-invasive device that measures the average velocity and the flow of electrically conductive fluids like water, slurry, conducting chemicals, sewage, liquid metals and liquid foods through a pipe and even in open channels

  • In 1930, William [1] prepared the first electromagnetic flowmeter-like device when he used the electromagnetic induction to measure the flow of conductive solutions and mercury in closed pipes

  • The liquid inside the flowmeter is a major part of the circuit generating the transformer signal, it is expected that the liquid level directly affects this noise signal

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Summary

INTRODUCTION

Electromagnetic flowmeter (EMF) is a non-invasive device that measures the average velocity and the flow of electrically conductive fluids like water, slurry, conducting chemicals, sewage, liquid metals and liquid foods through a pipe and even in open channels. Rosales and Sanderson [6] provided a model of streaming current noise generated by the interaction of turbulence with charge distribution, which occurs in the liquid, close to the surface of the insulating liner of an electromagnetic flowmeter, because of charge species being absorbed by the lining material itself. Ji et al 2013 [16] have proved by theoretical analysis and experiments the feasibility of the EMF in partially filled pipes They used arc-shaped electrodes for flow signal and a pair of injection electrodes for detecting the liquid level. The idea of the present work is to make the EMF measure the liquid level in partially filled circular pipes without any auxiliary sensor This can be achieved by utilizing some noise signal inherent in the electromagnetic flowmeters namely, transformer noise signal. Due to our best knowledge, this technique, which may violently reduce the cost of EMF handled in partially filled pipes, has not been discussed in the literature

BASIC THEORY AND PROBLEM DEFINITION
NOISE SIGNALS IN ELECTROMAGNETIC FLOWMETER
TRANSFORMER NOISE
EXPERIMENTAL SET UP
SECONDARY ELEMENTS
RAW RESULTS
ANN MODEL
THE PROPOSED NETWORK
CONCLUSIONS
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