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A simulation approach to the determination of flow meter installation effects

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A simulation approach to the determination of flow meter installation effects

By Dr. Jerker Delsing, Martin Holm and Jacob Stang

Dept. of Heat and Power Engineering Lund Institute of Technology, Sweden

The determination of flow meter installation effects is of great importance when accurate flow measurements are required. Normally the installation effects are determined i laboratory flow rig adapted to the task. This is a very costly and time

consuming procedure. Further it is often not possible to generalise the obtained results. This paper will describe a software tool that possible can give a faster way to

determine installation effects for a certain installation.

The software tool has the ability to calculate the error curve for a certain flow meter at a certain installation. This is accomplished in the following way. The flow pattern on the inlet of the flow meter is obtained from generally available flow pattern data measured by hot wire or LDA techniques. These flow pattern data are used as inlet data to a flow simulation program in order to obtain a detailed flow pattern picture inside the flow meter under consideration. The detailed flow pattern is then used to calculate the outcome of a flow measurement using a theoretical model of the flow meter.

We make comparisons of measured and simulated data for three different

installation configurations for an ultrasonic flow meter. The configurations are 100D straight pipe upstream of the meter, single elbow and double elbow out of plane 12D upstream of the meter. The Reynolds numbers are quit low 2000 - 12000 mainly due to the small pipe diameters used.

The inlet data for the flow simulations has been measured using LDV. These data were forward to the flow simulation were FLOW 3D was used. For the present project we use a theoretical model of an ultrasound sing-around flow meter developed at the department of Heat and Power Engineering. Both the model and the meter make use of an improved sing-around algorithm as well as zero crossing trigger compensation.

For the sound transmission a simple beam sound transmission model has been employed.

For the comparison experimental data for the three installation configurations were obtained in a calibration rig using our ultrasonic flow meter. Both the single and double elbow configurations introduce changes in calibration in the order of a few percent compared to the 100D case.

The first comparison of measured and simulated data shows differences between measured and simulated data in the region of 1%. For the future we expect improved

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simulation performance when more sophisticated CFD and flow meter models are employed. Flow meter models where beam bending and turbulent attenuation is included is under development.

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