16.2.8 Other types of flowmeter for
measuring volume flow rate
The gate meter consists of a
spring-loaded, hinged flap mounted at right angles to the direction of fluid
flow in the fluid-carrying pipe. The flap is connected to a pointer outside the
pipe. The fluid flow deflects the flap and pointer and the flow rate is
indicated by a graduated scale behind the pointer. The major difficulty with
such devices is in preventing leaks at the hinge point. A variation on this
principle is the air-vane meter, which measures deflection of the flap by a
potentiometer inside the pipe. This is commonly used to measure airflow within
automotive fuel-injection systems. Another similar device is the target meter.
This consists of a circular disc-shaped flap in the pipe. Fluid flow rate is
inferred from the force exerted on the disc measured by strain gauges bonded to
it. This meter is very useful for measuring the flow of dilute slurries but it
does not find wide application elsewhere as it has a relatively high cost.
Measurement uncertainty in all of these types of meter varies between 1% and 5%
according to cost and design of each instrument.
The cross-correlation flowmeter has
not yet achieved widespread practical use in industry. Much development work is
still going on, and it therefore mainly only exists in prototype form in
research laboratories. However, it is included here because use is likely to
become much more widespread in the future. The instrument requires some
detectable random variable to be present in the flowing fluid. This can take
forms such as velocity turbulence and temperature fluctuations. When such a
stream of variables is detected by a sensor, the output signal generated
consists of noise with a wide frequency spectrum.
Cross-correlation flowmeters use two
such sensors placed a known distance apart in the fluid-carrying pipe and
cross-correlation techniques are applied to the two output signals from these
sensors. This procedure compares one signal with progressively time-shifted
versions of the other signal until the best match is obtained between the two
waveforms. If the distance between the sensors is divided by this time shift, a
measurement of the flow velocity is obtained. A digital processor is an
essential requirement to calculate the cross-correlation function, and
therefore the instrument must be properly described as an intelligent one.
In practice, the existence of random
disturbances in the flow is unreliable, and their detection is difficult. To
answer this problem, ultrasonic cross-correlation flowmeters are under
development. These use ultrasonic transducers to inject disturbances into the
flow and also to detect the disturbances further downstream.
Further information about
cross-correlation flowmeters can be found in Medlock (1985).
The Laser Doppler flowmeter gives
direct measurements of flow velocity for liquids containing suspended particles
flowing in a transparent pipe. Light from a laser is focused by an optical
system to a point in the flow, with fibre-optic cables being commonly used to
transmit the light. The movement of particles causes a Doppler shift of the
scattered light and produces a signal in a photodetector that is related to the
fluid velocity. A very wide range of flow velocities between 10 µm/s and 105
m/s can be measured by this technique.
Sufficient particles for satisfactory
operation are normally present naturally in most liquid and gaseous fluids, and
the introduction of artificial particles is rarely needed. The technique is
advantageous in measuring flow velocity directly rather than inferring it from
a pressure difference. It also causes no interruption in the flow and, as the
instrument can be made very small, it can measure velocity in confined areas.
One limitation is that it measures local flow velocity in the vicinity of the
focal point of the light beam, which can lead to large errors in the estimation
of mean volume flow rate if the flow profile is not uniform. However, this
limitation is often used constructively in applications of the instrument where
the flow profile across the cross-section of a pipe is determined by measuring
the velocity at a succession of points.
Whilst the Coriolis meter is
primarily intended to be a mass flow measuring instru[1]ment,
it can also be used to measure volume flow rate when high measurement accuracy
is required. However, its high cost means that alternative instruments are
normally used for measuring volume flow rate.
16.3 Intelligent flowmeters
All the usual benefits associated
with intelligent instruments are applicable to most types of flowmeter. Indeed,
all types of mass flowmeter routinely have intelligence as an integral part of
the instrument. For volume flow rate measurement, intelligent differential
pressure measuring instruments can be used to good effect in conjunction with
obstruction type flow transducers. One immediate benefit of this in the case of
the commonest flow restriction device, the orifice plate, is to extend the
lowest flow measurable with acceptable accuracy down to 20% of the maximum flow
value. In positive displacement meters, intelligence allows compensation for
thermal expansion of meter components and temperature-induced viscosity
changes. Correction for variations in flow pressure is also provided for.
Intelligent electromagnetic flowmeters are also available, and these have a
self-diagnosis and self-adjustment capability. The usable instrument range is
typically from 3% to 100% of the full-scale reading and the quoted maximum
inaccuracy is ±0.5%. It is also normal to include a non-volatile memory to
protect constants used for correcting for modifying inputs, etc., against power
supply failures. Intelligent turbine meters are able to detect their own
bearing wear and also report deviations from initial calibration due to blade
damage, etc. Some versions also have self-adjustment capability.
The trend is now moving towards total
flow computers which can process inputs from almost any type of transducer.
Such devices allow user input of parameters like specific gravity, fluid
density, viscosity, pipe diameters, thermal expansion coefficients, discharge
coefficients, etc. Auxiliary inputs from temperature transducers are also
catered for. After processing the raw flow transducer output with this
additional data, flow computers are able to produce measurements of flow to a
very high degree of accuracy.
16.4 Choice between flowmeters for
particular applications
The number of relevant factors to be
considered when specifying a flowmeter for a particular application is very
large. These include the temperature and pressure of the fluid, its density,
viscosity, chemical properties and abrasiveness, whether it contains particles,
whether it is a liquid or gas, etc. This narrows the field to a subset of
instruments that are physically capable of making the measurement. Next, the
required performance factors of accuracy, rangeability, acceptable pressure
drop, output signal characteristics, reliability and service life must be
considered. Accuracy requirements vary widely across different applications,
with measurement uncertainty of š5% being acceptable in some and less than
š0.5% being demanded in others.
Finally, the economic viability must
be assessed and this must take account not only of purchase cost, but also of
reliability, installation difficulties, maintenance requirements and service
life.
Where only a visual indication of flow rate is needed, the variable-area meter is popular. Where a flow measurement in the form of an electrical signal is required, the choice of available instruments is very large. The orifice plate is used extremely commonly for such purposes and accounts for almost 50% of the instruments currently in use in industry. Other forms of differential pressure meter and electromagnetic flowmeters are used in significant numbers. Currently, there is a trend away from rotating devices such as turbine meters and positive displacement meters. At the same time, usage of ultrasonic and vortex meters is expanding. A survey of the current market share enjoyed by different types can be found in Control Engineering (1998).
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