ANALYSIS OF THE GAMM FRANCIS TURBINE DISTRIBUTOR 3D FLOW FOR THE WHOLE OPERATING RANGE AND OPTIMIZATION OF THE GUIDE VANE AXIS LOCATION

Similar documents
DEVELOPMENT OF A MATHEMATICAL MODEL FOR THE SWIRLING FLOW EXITING THE RUNNER OF A HYDRAULIC TURBINE

IMPROVING DRAFT TUBE HYDRODYNAMICS OVER A WIDE OPERATING RANGE

THREE-DIMENSIONAL VERSUS TWO-DIMENSIONAL AXISYMMETRIC ANALYSIS FOR DECELERATED SWIRLING FLOWS

ON THE HUB-TO-SHROUD RATIO OF AN AXIAL EXPANSION TURBINE FOR ENERGY RECOVERY

Unsteady Simulations of the Flow in a Swirl Generator, Using OpenFOAM

AXISYMMETRIC SWIRLING FLOW SIMULATION OF THE DRAFT TUBE VORTEX IN FRANCIS TURBINES AT PARTIAL DISCHARGE

Numerical Simulation of a Complete Francis Turbine including unsteady rotor/stator interactions

CFD approach for design optimization and validation for axial flow hydraulic turbine

Introduction to Turbomachinery

A new swirl apparatus: design, numerical analysis and preliminary measurements

2D Model of Guide Vane for Low Head Hydraulic Turbine: Analytical and Numerical Solution of Inverse Problem

NUMERICAL ANALYSIS OF CAVITATION INCEPTION IN FRANCIS TURBINE

Comparison of numerical and experimental results of the flow in the U9 Kaplan turbine model

NUMERICAL INVESTIGATION OF PERFORMANCE OF KAPLAN TURBINE WITH DRAFT TUBE

GUIDE VANES EMBEDDED VISUALIZATION TECHNIQUE FOR INVESTIGATING FRANCIS RUNNER INTER-BLADE VORTICES AT DEEP PART LOAD OPERATION

Comparison of the Convergent and Divergent Runners for a Low Head Hydraulic Turbine

Wicket gate trailing-edge blowing: A method for improving off-design hydroturbine performance by adjusting the runner inlet swirl angle

Efficient runner safety assessment during early design phase and root cause analysis

A two-dimensional design method for the hydraulic turbine runner and its preliminary validation

Introduction to Fluid Machines (Lectures 49 to 53)

SERVICE LIFE ESTIMATION FOR RUNNER S BLADE OF AN AXIAL TURBINE

A validation of parallel multiblock CFD against the GAMM Francis water turbine runner at best efficiency and off-design operating conditions

Performance Prediction of the Francis-99 Hydroturbine with Comparison to Experiment. Chad Custer, PhD Yuvraj Dewan Artem Ivashchenko

Chapter three. Two-dimensional Cascades. Laith Batarseh

Turbomachinery. Hasan Ozcan Assistant Professor. Mechanical Engineering Department Faculty of Engineering Karabuk University

Introduction to Fluid Machines and Compressible Flow Prof. S. K. Som Department of Mechanical Engineering Indian Institute of Technology, Kharagpur

Pump-turbine characteristics for analysis of unsteady flows

Overload Surge Investigation Using CFD Data

The Fluid Flow in the T-Junction. The Comparison of the Numerical Modeling and Piv Measurement

Numerical Prediction Of Torque On Guide Vanes In A Reversible Pump-Turbine

RANS COMPUTATIONS OF A CAVITATING VORTEX ROPE AT FULL LOAD

Introduction to Fluid Machines, and Compressible Flow Prof. S. K. Som Department of Mechanical Engineering Indian Institute of Technology, Kharagpur

COURSE NUMBER: ME 321 Fluid Mechanics I 3 credit hour. Basic Equations in fluid Dynamics

vector H. If O is the point about which moments are desired, the angular moment about O is given:

Numerical investigation of the flow behavior into a Francis runner during load rejection

Application of the Shannon-Kotelnik theorem on the vortex structures identification

COMPUTATIONAL FLOW ANALYSIS THROUGH A DOUBLE-SUCTION IMPELLER OF A CENTRIFUGAL PUMP

Experimental investigation of the draft tube inlet flow of a bulb turbine

Steady state operation simulation of the Francis- 99 turbine by means of advanced turbulence models

Analysis of the Swirling Flow Downstream a Francis Turbine Runner

ENERGY TRANSFER BETWEEN FLUID AND ROTOR. Dr. Ir. Harinaldi, M.Eng Mechanical Engineering Department Faculty of Engineering University of Indonesia

Flow behaviour analysis of reversible pumpturbine in "S" characteristic operating zone

THE COMPUTATION OF FLUID-INDUCED FORCES ON CENTRIFUGAL IMPELLERS ROTATING AND WHIRLING IN A VOLUTE CASING. N s Specific speed (Q 1 2 =(gh) 3 4 )

Analysis of Rotor-Stator Interaction in Turbine Mode of a Pump-Turbine Model

Engineering Failure Analysis

CHAPTER 4 OPTIMIZATION OF COEFFICIENT OF LIFT, DRAG AND POWER - AN ITERATIVE APPROACH

PARAMETRIC STUDY PERFORMANCE OF A CENTRIFUGAL PUMP BASED ON SIMPLE AND DOUBLE-ARC BLADE DESIGN METHODS

High head pump-turbine: Pumping mode numerical simulations with a cavitation model for off-design conditions

Experimental Analysis of Rotor-Stator Interaction in a Pump-

Department of Civil and Environmental Engineering CVNG 1001: Mechanics of Fluids

UNSTEADY PRESSURE FIELD ANALYSIS AT PUMP INLET EQUIPPED WITH A SYMMETRICAL SUCTION ELBOW

Recent experience of IFFM PAS in the design process of lowhead propeller hydraulic turbines for Small Hydro

Keywords: Centrifugal pumps, CFD, flow analysis, numerical simulation, radial gab, part load performance.

Draft Tube calculations using OpenFOAM-1.5dev and validation with FLINDT data

Experimental Investigation of Pressure Fluctuations in a high-energy Centrifugal Pump Stage at Off-Design Conditions

Chapter 7 The Energy Equation

The influence of disc friction losses and labyrinth losses on efficiency of high head Francis turbine

INTERNATIONAL JOURNAL OF MECHANICAL ENGINEERING AND TECHNOLOGY (IJMET)

mywbut.com Hydraulic Turbines

Numerical prediction of Pelton turbine efficiency

FLOW PATTERN STUDY OF A CENTRIFUGAL PUMP USING CFD METHODS CONCENTRATING ON VOLUTE TONGUE ROLE

CFD configurations for hydraulic turbine startup

Hydraulic Turbines. Table 6.1 Parameters of hydraulic turbines. Power P (kw) Speed N (rpm)

THE INFLUENCE OF SWIRL BRAKES ON THE ROTORDYNAMIC FORCES GENERATED BY DISCHARGE-TO-SUCTION LEAKAGE FLOWS 1N CENTRIFUGAL PUMPS

ENGINEERING FLUID MECHANICS. CHAPTER 1 Properties of Fluids

Introduction to Fluid Machines and Compressible Flow Prof. S.K Som Department of Mechanical Engineering Indian Institute of Technology, Kharagpur

Validation of simulation strategies for the flow in a model propeller turbine during a runaway event

Performance Investigation of High Pressure Ratio Centrifugal Compressor using CFD

MECA-H-402: Turbomachinery course Axial compressors

ENERGY DISTRIBUTION ANALYSIS IN A LOW HEAD FRANCIS TURBINE DURING THERMODYNAMIC EFFICIENCY MEASUREMENTS

The Pennsylvania State University. The Graduate School. Department of Mechanical and Nuclear Engineering

Cavitation instabilities in hydraulic machines

ON THE LOAD OF AXIAL TURBOMACHINES BLADE

Investigation on fluid added mass effect in the modal response of a pump-turbine runner

Introduction to Fluid Machines and Compressible Flow Prof. S. K. Som Department of Mechanical Engineering Indian Institute of Technology, Kharagpur

Differential relations for fluid flow

Angular momentum equation

Impact of Blade Quality on Maximum Efficiency of Low Head Hydraulic Turbine

CIVE HYDRAULIC ENGINEERING PART II Pierre Julien Colorado State University

(Refer Slide Time: 4:41)

Evaluation of pump characteristic from measurement of fast deceleration

Dynamic Behavior of a 2 Variable Speed Pump- Turbine Power Plant

CAVITATION PREDICTION IN A KAPLAN TURBINE USING STANDARD AND OPTIMIZED MODEL PARAMETERS

A numerical investigation of tip clearance flow in Kaplan water turbines

State of the art hydraulic turbine model test

Laminar flow heat transfer studies in a twisted square duct for constant wall heat flux boundary condition

Hydro-acoustic resonance behavior in presence of a precessing vortex rope: observation of a lock-in phenomenon at part load Francis turbine operation

ANALYSIS OF NATURAL FREQUENCIES OF DISC-LIKE STRUCTURES IN WATER ENVIRONMENT BY COUPLED FLUID-STRUCTURE-INTERACTION SIMULATION

1917. Numerical simulation and experimental research of flow-induced noise for centrifugal pumps

Numerical investigation of the flow in a swirl generator, using OpenFOAM OSCAR BERGMAN. Master s Thesis in Fluid Mechanics

Effect of a blade shape on hydraulic and mechanical properties of a single - blade impeller

nozzle which is fitted to a pipe through which the liquid is flowing under pressure.

Uncertainty Quantification of an ORC turbine blade under a low quantile constrain

Numerical simulation of pressure pulsations in Francis turbines

CHAPTER TWO CENTRIFUGAL PUMPS 2.1 Energy Transfer In Turbo Machines

Study on the Performance of a Sirocco Fan (Flow Around the Runner Blade)

ScienceDirect Abstract

DESIGN AND CFD ANALYSIS OF A CENTRIFUGAL PUMP

Numerical simulation of flow in a high head Francis turbine with prediction of efficiency, rotor

Numerical Study of Pressure and Velocity Distribution Analysis of Centrifugal Pump

Transcription:

Scientific Bulletin of the Politehnica University of Timisoara Transactions on Mechanics Special issue The 6 th International Conference on Hydraulic Machinery and Hydrodynamics Timisoara, Romania, October 21-22, 2004 ANALYSIS OF THE GAMM FRANCIS TURBINE DISTRIBUTOR 3D FLOW FOR THE WHOLE OPERATING RANGE AND OPTIMIZATION OF THE GUIDE VANE AXIS LOCATION Sebastian MUNTEAN, PhD, Senior Researcher* Center of Advanced Research in Engineering Sciences Romanian Academy - Timisoara Branch Sandor BERNAD, PhD, Senior Researcher Center of Advanced Research in Engineering Sciences Romanian Academy - Timisoara Branch Romeo F. SUSAN-RESIGA, PhD, Professor Department of Hydraulic Machinery Politehnica University of Timisoara Ioan ANTON, PhD, Professor, Member of the Romanian Academy Department of Hydraulic Machinery Politehnica University of Timisoara *Corresponding author: Bv Mihai Viteazu 24, 300223, Timisoara, Romania Tel.: (+40) 256 403692, Fax: (+40) 256 403700, Email: seby@acad-tim.tm.edu.ro ABSTRACT The paper presents a numerical investigation of the 3D flow in the distributor (stay vanes and guide vanes) of the GAMM Francis turbine. The domain corresponds to the distributor (stay vane and guide vane) interblade channel. The distributor computational domain is bounded upstream and downstream by cylindrical and conical patches, respectively. The first one corresponds to the spiral casing outflow section, while the second one is conventionally considered to be a conical patch upstream the runner. On the distributor inlet section a constant radial and circumferential velocity components corresponding to an ideal spiral case, with zero axial velocity. Since we assume a perfect spiral casing, the distributor inlet velocity field has no circumferential variation. On the outlet section a measured pressure profile is considered. The distributor domain is discretized using an unstructured mesh. There are three main issues addressed in this paper: first, using the numerical methodology presented above, the distributor flow for several guide vane angle values is computed. As a result, the guide vane torque versus guide vane opening angle is computed for the actual position of the guide vane axis; second, we investigate the flow for the whole range of the guide vane positions, at four different locations of the guide vane axis. KEYWORDS Francis turbine distributor, guide vane axis optimization. NOMENCLATURE V c r r = [-] radial velocity coefficient 2Eref V c u u = [-] tangential velocity coefficient 2Eref V c z a = [-] axial velocity coefficient 2Eref ( c ) ( c ) 2 c m = r 2 + z [-] meridian velocity coefficient M [Nm] torque g [m/s 2 ] gravity Subscripts and Superscripts r radial direction u tangential direction z axial direction ABBREVIATIONS ref reference section (draft tube inlet section) gv guide vane in, out inlet section, outlet section min, max minimum and maximum opening 1. INTRODUCTION The Francis turbine distributor, which includes two radial cascades in tandem, is an essential component of the turbine. The stay vanes are fixed and unloaded, while the guide vanes have adjustable position in correlation with the turbine discharge. The guide 131

vanes open synchronously modified by an appropriate rotation around axes parallel to the machine axis. The corresponding guide vane loading is transmitted to the vane axis as a force and torque. The position of the force vector support with respect to the guide vane axis influences the torque magnitude. The maximum torque magnitude influences the mechanical design of the turbine regulating system, and it is preferable to minimize this value. The present paper addresses this issue, by examining the variation of the torque in the guide vane axis at variable guide vane opening. As a result, an optimization criterion is proposed and used in order to minimize the loading of the turbine regulating system. Figure 1. The three-dimensional cut through the GAMM Francis turbine. Figure 1 shows a three-dimensional view of the GAMM Francis turbine considered in the present study, [7,8]. One can easily observe the typical configuration of a Francis turbine distributor, and the regulating mechanism. Although the stay vane and guide vane radial cascades can be analysed using a simplified 2D inviscid flow model, in the present study we are employing a full 3D flow computation to obtain an accurate evaluation of the guide vane loading and torque. This choice is motivated by observing that 3D flow affects are significant in the neighbourhood of the guide vane trailing edge, as one can infer from the meridional cut shown in Figure 2. This is generally the case for medium/large specific speed Francis turbines. Since the flow in the turbine distributor is accelerated, there are practically no flow detachments on the guide vanes for the whole operating range. As a result, as far as the blade loading is concerned, viscous effects can be neglected for the present analysis and optimization procedure. Moreover, the flow can be considered steady, since no sources of unsteadiness are present in the spiral case or further upstream. In conclusion, in this paper we consider a 3D steady Euler flow in the Francis turbine distributor. Figure 2. Meridional cross section through the GAMM Francis turbine model [7,8] Section 2 presents the 3D computational domain and the boundary conditions. The parametric study performed in this paper requires the modification of the domain geometry according to variable guide vane opening angle. In Section 3 we first compute a least squares approximation of the discharge versus guide vane opening correlation, at constant head, from the turbine hillchart. Then, the variation of the torque in the guide vane axis is computed versus the guide vane opening angle, considering the original guide vane axis location. Moreover, the distributor dischargepressure drop characteristic curve is computed, and later used to define equivalent guide vane openings as the guide vane axis location is modified. Section 4 presents a parametric study of the turbine distributor, by modifying the guide vane axis location. For each axis position considered, a momentum versus opening angle curve is computed, and the extremum torque values are obtained. We define the optimum axis position by imposing the equality of the magnitudes of torque extremum values. As a result, a new location of the guide vane axis is identified, with a minimum torque value and a minimum loading of the regulating mechanism. This result is particularly important for large hydraulic turbines, where the torque magnitude reaches very large values. The paper conclusions are summarized in the last section 2. COMPUTATIONAL DOMAIN AND BOUNDARY CONDITIONS Figure 3 presents a top view of the GAMM Francis turbine distributor, with the actual stay vane and guide vane geometry [7]. The guide vane is shown for several positions, ranging from completely closed ( α = 0 ) to maximum gv gv o opening ( α = 35 ). The computational domain is bounded by two angular periodic lateral surfaces that 132

are able to include the guide vane for all opening angle values, as shown in Fig. 3 bottom. This choice allows the minimum change in the computational domain geometry, as well as a rapid re-meshing for each guide vane position under consideration. discharge. However, the influence on the guide vane torque is unlikely to be significantly affected by the details of the outlet condition. Adjusting guide vane (24 blades) Distributor inlet section Distributor outlet section Stay vane (24 blades) Displacement of the guide vane blade at: Maximum opening α gv =35 Nominal opening α gv =25 Minimum opening α gv =0 Figure 3. Top view of the GAMM Francis distributor and computational domain. Figure 4 shows the full 3D computational domain for the distributor flow computation. It corresponds to a 3D channel which includes one stay vane and one guide vane. Besides the periodic lateral surfaces, the channel is bounded by the upper and lower distributor rings. The inlet section corresponds to the spiral case outlet. The velocity field here has a negligible component parallel to the machine axis ( c a = 0 ). The radial and tangential inlet velocity components are computed for each discharge value, while keeping the inlet angle constant (corresponding to the spiral case geometry). The outlet section for the distributor domain in Figure 4 corresponds to a conical patch upstream the runner (see BB in Figure 2). On this section pressure conditions must be imposed. Since the present study does not deal with a coupled flow distributor-runner, an experimental pressure profile, measured on the survey axis BB form Fig. 2, is considered in the present investigation. This is not a rigorous boundary condition, since the pressure profile is changing with variable Figure 4. Three-dimensional computational domain for the GAMM Francis turbine distributor. 3. DISTRIBUTOR FLOW ANALYSIS Using the above computational domain and boundary conditions, we compute the steady 3D Euler flow in the Francis turbine distributor. First, we compute the correlation between the discharge and the guide vane opening angle, Q = f ( α ). In doing so, we are considering the experimental data from the turbine hillchart, for constant nominal head, as shown in Figure 5. Two hillcharts were available for the GAMM turbine, one of them being the conventional one, and the second one being computed without taking into consideration the draft tube. The differences are quite small, as one can see from Fig. 5. An analytical representation for the experimental data is obtained using a polynomial least squares fit. It has been concluded, see Fig. 5, that a parabolic representation of the Q = f ( α ) dependence is accurate enough, and can be further used for the parametric study. Once the discharge known at each guide vane opening, the 3D flow simulation is performed, and the torque in the guide vane axis is computed using the pressure distribution on the guide vane. Figure 6 shows the variation of the torque for twelve guide vane openings, including the completely closed position. A polynomial least squares fit (solid line) is used to interpolate the numerical values, and to determine the extremum values. It can be seen that there are two extrema: the minimum (negative) value corresponds to the completely closed position, while the maximum (positive) torque corresponds to an opening o smaller than the value at best efficiency point ( α = 25 ). Of course, when designing the turbine regulating system, the maximum absolute value of the torque is to 133

be considered for the structural analysis. An optimum design will first minimize the loading, and this can be accomplished by an appropriate choice of the axis location. c l 1 l l 2 a 0 e a R gv l 01 l 02 l 0 gv b O gv Figure 5. The correlation between the turbine discharge and the guide vane opening angle. Figure 6. Guide vane torque versus guide vane angle for the GAMM distributor at n 0 = 0.07208 (e = 0, i.e. actual GAMM Francis turbine design). The results shown in Fig. 6 correspond to the actual GAMM Francis turbine design, i.e. the original guide vane axis location. Figure 7 presents the geometrical parameters used to define the axis position with respect to the symmetrical guide vane chordline. The eccentricity e is the distance from the axis position to the guide vane mid-chord point. The original design considers e = 0. The dimensionless eccentricity n 0 is defined as, l01 l n 02 0 =, 2 l0 where the segments l 0, l 01, and l 02 are defined in Figure 7. Figure 7. Guide vane geometrical parameters. One can easily see that by changing the guide vane axis position, practically the whole radial cascade geometry is modified. As a result, one question to be answered is how can one define equivalent guide vane openings, since the Q = f ( α ) dependence shown in Fig. 5 is no longer valid for other eccentricity values. Traditionally, this equivalence can be established using various geometrical considerations, without any reference to the actual flow field. However, we are proposing here a new approach, based on the results of the numerical simulation. When computing the flow field at variable guide vane opening, one obtains the distributor pressure drop p = f 1 ( α ). Such a curve is shown in Fig. 8, where the numerical data were approximated quite well by a third degree polynomial least squares fit. This curve is computed for the original guide vane axis position. Figure 8. Pressure drop versus guide vane angle for the GAMM distributor. 134

After eliminating the guide vane opening angle between Q = f ( α) (from Fig. 5) and p = f 1 ( α ) (from Fig. 8), one obtains the hydraulic characteristic curve for the distributor, p = f2( Q) shown in Fig. 9. Figure 9. Pressure drop versus discharge for the GAMM distributor at n 0 =0.07208 (e=0). Using the distributor characteristic curve above, we can introduce a hydraulic equivalence criterion as follows: two guide vane radial cascade configurations are said to be equivalent if for the same discharge values the corresponding pressure drop values are equal. In other words, two hydraulically equivalent cascade regimes should coincide on the characteristic curve from Fig. 9. Obviously, at different eccentricity values, the corresponding opening angles will be different, and the constant opening lines on the turbine hillchart will be slightly shifted. However, the above criterion will insure the same runner inlet flow conditions at a give discharge, no matter the guide vane eccentricity. 4. OPTIMIZATION OF THE GUIDE VANE AXIS LOCATION Using the methodology described in Section 3, we are performing a parametric study of the guide vane torque for several axis eccentricity values. The torque variation is shown in Figure 10, for three additional guide vane axis position (besides the original one, which corresponds to the solid curve): for n 0 = -0.00247 (e = -5 mm), for n 0 = 0.07208 (e = 0), for n 0 = 0.14508 (e = +5 mm), for n 0 = 0.21656 (e = +10 mm). The dashed curves correspond to the third order polynomial least squares fits. It is easy to see from Fig. 10 that the torque extremum values are largely influenced by the axis position. These extrema are plotted versus the eccentricity in Figure 11. Figure 10. Guide vane torque variation versus the guide vane opening, for several values of the axis eccentricity. We are now in position to state an optimization criterion, as follows: the optimum guide vane axis location is the one that gives equal magnitudes of the torque extrema. It is easy to see that in this case, the torque extrema has also a minimum value in comparison to other configurations, thus answering to the original requirement of minimizing the turbine regulating system loading. Figure 11. Guide vane torque extrema versus the guide vane shaft axis eccentricity. The optimum shaft position corresponds to the intersection of the torque extreme value lines, i.e. the maximum value ( M and the value at the closing ) gv max position of the guide vane - ( M ) gv o. According to the criterion defined above the optimum eccentricity for GAMM distributor is e opt = 2. 697mm. In other words, the minimum guide vane torque ( ) 0.8165 Nm M gv min = is obtained by moving the guide vane shaft by 135

2.697 mm toward the trailing edge of the guide vane blade from its actual position. Figure 12. The original (solid line) and optimum (dashed line) torque variation versus guide vane angle for the GAMM turbine. Figure 12 presents the original (solid line) and optimum (dashed line) torque distribution for the whole range of the GAMM guide vane opening. It can be seen that the optimized location leads to a more rational loading of the regulating mechanism. According to the dimensionless eccentricity definition n 0, the optimum position of the guide vane shaft is obtained at n 0 = 0.032. The literature recommends for the guide vane that contains 24 blades and symmetric profile n 0 = 0.040, [6, p324]. One can see that the value found through the present analysis is 20% smaller, but has a robust justification. 5. CONCLUSIONS The paper addresses a design optimization problem for the location of the guide vane rotation axis position. Although the particular example presented in detail corresponds to the GAMM Francis turbine model, it is quite obvious that both the methodology, as well as the optimization criterion, are valid for any Francis or Kaplan turbines. The optimization criterion considered in this paper is the minimization of the mechanical loading of the turbine regulating system. This means that the extremum value of the torque appplied to the guide vane shaft has to be minimized. The designed parameter to be optimized is the location of the guide vane shaft axis along the guide vane chordline. Our methodology employs rigorous hydrodynamic considerations, rather than geometric arguments. Although the methodology seems to be quite laborious, since it involves a series of 3D flow simulation, the result clearly shows an improvement over the original design. ACKNOWLEDGMENTS The present work has been supported from the National University Research Council Grant (CNCSIS) 109/2002-2004 and 220/2003-2004. Numerical computations have been performed at the Numerical Simulation and Parallel Computing Laboratory from the Politehnica University of Timisoara, National Center for Engineering of Systems with Complex Fluids. REFERENCES 1. Avellan F., Dupont P., Farhat M., Gindroz B., Henry P., Hussain M., Parkinson E., Santal O. (1990) Flow survey and blade pressure measurements in a Francis turbine model. In: Pejovic S. (ed) Proceedings of the 15th IAHR Symposium on Hydraulic Machinery and Cavitation, Belgrade, Yugoslavia, vol 2, I5, pp 1-14 2. Bottaro A., Drotz A., Gamba P., Sottas G., Neury C. (1993) Euler Simulation of Flow in a Francis Distributor and Runner. In: Sottas G. and Ryhming I.L. (eds) 3D-computation of incompressible internal flows, NNFM 39, Vieweg Verlag, Braunschweig, pp 77-84 3. Fluent Inc. (2001) FLUENT 6. User s Guide, Fluent Incorporated, Lebanon 4. Fluent Inc. (2001) Gambit 2. User s Guide, Fluent Incorporated, Lebanon 5. Gros L., Avellan F., Bellet L., Kueny J.-L. (1998) Numerical flow analysis of the GAMM turbine at nominal and off-design operating conditions. In: Brekke H., Duan C.G., Fisher R.K., Schilling R., Tan S.K., Winoto S.H. (eds) Proceedings of 18th IAHR Symposium on Hydraulic Machinery and Cavitation. Singapore, Republic of Singapore, vol 1, pp 121-128 6. Kovalev N. N. (1961) Ghidroturbiny, Moskwa. 7. Muntean S. (2002) Numerical methods for the analysis of the 3D flow in Francis turbine runners (in Romanian). Ph.D. thesis, Politehnica University of Timisoara 8. Parkinson E. (1995) Test Case 8: Francis Turbine, Turbomachinery Workshop ERCOFTAC II, 9. Sottas G., Ryhming I.L. (eds) (1993) 3D - computation of incompressible internal flows, Proceedings of the GAMM Workshop, Notes Numerical Fluid Mechanics (NNFM) 39, Vieweg Verlag, Braunschweig. 136