By Gabriel Sottas, Inge L. Ryhming
The target of the 1989 GAMM Workshop on 3D-Computation of Incompressible inner Flows was once the simulation of a pragmatic incompressible movement box in a massive business software. In view of the problems desirous about formulating this sort of attempt case, requiring the supply of an experimental info base, severe care needed to be taken within the number of the correct one. Professor I. L. Ryhming's idea, that the move via a Francis turbine configuration or components thereof will be possible as a try out case, as a result numerical demanding situations in addition to the chance to provide an experimental facts base through the use of the experimental amenities of the Hydraulic Machines and Fluid Mechanics Institute (IMHEF) on the Swiss Federal Institute of expertise in Lausanne (EPFL), used to be accredited via the GAMM Committee in April 1987. a systematic committee, shaped less than the chairmanship of Professor I. L. Ryhming, met a couple of times to choose the Francis turbine configuration, the attempt case standards, and so forth. , wherein the layout enter got here from the water turbine specialists. This committee determined to limit the reviews to the 3 following standard purposes for the easiest working element of the turbine: • simulation of the 3D movement in a Francis runner in rotation • simulation of the 3D movement within the distributor (stay and advisor vane earrings) of this turbine • simulation of the 3D circulation in an elbow draft tube The simultaneous computation of 2 or 3 of those geometries was once encouraged.
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Extra resources for 3D-Computation of Incompressible Internal Flows: Proceedings of the GAMM Workshop held at EPFL, 13–15 September 1989, Lausanne, Switzerland
6/or transducer identification) When the runner is at rest, the pressure transducer is calibrated by varying the static pressure of the test-rig, Figure 15. The pressure distribution is obtained for a given operating point by scanning the 28 pressure transducers. The data is reduced by computing the time average of the pressure signal corresponding to the nth transducer and scaled as follows: Cp*-~ - pI _ pref • 47 ... 60 .... 40 .... 40 40 20 60 I I 80 100 120 1 I + Cp Stayrlng Inlet 165' ....
2 mid-span " h~b " ... 5 ~. ". '" . 8 X/R,. 9 Fig. 19 Blade pressure CONCLUSIONS A complete experimental set-up has been developed in order to perform a flow study in a model of a Francis turbine. A five-hole probe mounted on a remote traversing system provides static pressure and velocity components along three stations in the machine. An original instrumentation is installed in the rotating runner in order to obtain the pressure distribution on the blades along three theoretical streamlines. This flow survey in the model provides an experimental set of data for CFD codes in order to check their ability to represent the flow in the complex geometry of a Francis turbine.
These values show that even at the best efficiency point the blade loading is far from optimal. There is low pressure distribution close to the shroud, leading to an inlet cavity development at the leading edge. Moreover, the strong adverse pressure gradient could lead to a possible flow separation. 5), in order to have a pressure, higher than the atmospheric pressure, on the transducers. The specific hydraulic energy for this test was E "" 58 [Hg-i]. - 05 . ~~:.. 4 ...!.... Q. 1 "'" o , ~;-·-6 oS"~ -.