Theory of turbo machinery / Turbomaskinernas teori. Chapter 3



Similar documents
Theory of turbo machinery / Turbomaskinernas teori. Chapter 4

Relevance of Modern Optimization Methods in Turbo Machinery Applications

Lift and Drag on an Airfoil ME 123: Mechanical Engineering Laboratory II: Fluids

Axial Flow Compressor Mean Line Design

THE EVOLUTION OF TURBOMACHINERY DESIGN (METHODS) Parsons 1895

High-Lift Systems. High Lift Systems -- Introduction. Flap Geometry. Outline of this Chapter

Practice Problems on Boundary Layers. Answer(s): D = 107 N D = 152 N. C. Wassgren, Purdue University Page 1 of 17 Last Updated: 2010 Nov 22

NACA Nomenclature NACA NACA Airfoils. Definitions: Airfoil Geometry

NUMERICAL ANALYSIS OF WELLS TURBINE FOR WAVE POWER CONVERSION

INTRODUCTION TO FLUID MECHANICS

Wing Design: Major Decisions. Wing Area / Wing Loading Span / Aspect Ratio Planform Shape Airfoils Flaps and Other High Lift Devices Twist

The aerodynamic center

Prediction of airfoil performance at high Reynolds numbers

CRANFIELD UNIVERSITY ELEFTHERIOS ANDREADIS DESIGN OF A LOW SPEED VANEAXIAL FAN SCHOOL OF ENGINEERING. MPhil THESIS

CFD Analysis of Swept and Leaned Transonic Compressor Rotor

DESIGN OF THE MODERN FAMILY OF HELICOPTER AIRFOILS 51

Application of CFD Simulation in the Design of a Parabolic Winglet on NACA 2412

University Turbine Systems Research 2012 Fellowship Program Final Report. Prepared for: General Electric Company

Summary of Aerodynamics A Formulas

Design and testing of a high flow coefficient mixed flow impeller

Lecture 11 Boundary Layers and Separation. Applied Computational Fluid Dynamics

EXPERIMENTAL RESEARCH ON FLOW IN A 5-STAGE HIGH PRESSURE ROTOR OF 1000 MW STEAM TURBINE

Open channel flow Basic principle

Keywords: CFD, heat turbomachinery, Compound Lean Nozzle, Controlled Flow Nozzle, efficiency.

Dimensional analysis is a method for reducing the number and complexity of experimental variables that affect a given physical phenomena.

CFD Analysis on Airfoil at High Angles of Attack

Aerodynamics of Rotating Discs

Fundamentals of Fluid Mechanics

Using CFD to improve the design of a circulating water channel

FLUID MECHANICS. TUTORIAL No.7 FLUID FORCES. When you have completed this tutorial you should be able to. Solve forces due to pressure difference.

Models of Lift and Drag Coefficients of Stalled and Unstalled Airfoils in Wind Turbines and Wind Tunnels

Experimental and Analytical Study of Helical Cross Flow Turbines for a Tidal Micropower Generation System

COMPUTATIONAL FLUID DYNAMICS (CFD) ANALYSIS OF INTERMEDIATE PRESSURE STEAM TURBINE

Comparison between OpenFOAM CFD & BEM theory for variable speed variable pitch HAWT

Executive summary. Nationaal Lucht- en Ruimtevaartlaboratorium National Aerospace Laboratory NLR

Natural Convection. Buoyancy force

Chapter 8: Flow in Pipes

du u U 0 U dy y b 0 b

AERODYNAMIC ANALYSIS OF BLADE 1.5 KW OF DUAL ROTOR HORIZONTAL AXIS WIND TURBINE

Machine Design II Prof. K.Gopinath & Prof. M.M.Mayuram. Module 2 - GEARS. Lecture 17 DESIGN OF GEARBOX

Computational Modeling of Wind Turbines in OpenFOAM

FLUID MECHANICS. TUTORIAL No.8A WATER TURBINES. When you have completed this tutorial you should be able to

CFD ANALYSIS OF RAE 2822 SUPERCRITICAL AIRFOIL AT TRANSONIC MACH SPEEDS

Basic Equations, Boundary Conditions and Dimensionless Parameters

Some scientific challenges in aerodynamics for wind turbines

Chapter 10. Flow Rate. Flow Rate. Flow Measurements. The velocity of the flow is described at any

Chapter 5 MASS, BERNOULLI AND ENERGY EQUATIONS

Thin Airfoil Theory. Charles R. O Neill School of Mechanical and Aerospace Engineering Oklahoma State University Stillwater, OK 74078

Backwater Rise and Drag Characteristics of Bridge Piers under Subcritical

FLUID FLOW Introduction General Description

3 The boundary layer equations

CFD Simulation of the NREL Phase VI Rotor

HEAT TRANSFER ANALYSIS IN A 3D SQUARE CHANNEL LAMINAR FLOW WITH USING BAFFLES 1 Vikram Bishnoi

Lecture L5 - Other Coordinate Systems

UCCS PES/ENSC 2500: Renewable Energy Spring 2014 Test 3 name:

Head Loss in Pipe Flow ME 123: Mechanical Engineering Laboratory II: Fluids

Platform Technology for Computational Fluid Dynamics Supporting Design of System Products

MacroFlo Opening Types User Guide <Virtual Environment> 6.0

Computational Fluid Dynamics Investigation of Two Surfboard Fin Configurations.

A. Hyll and V. Horák * Department of Mechanical Engineering, Faculty of Military Technology, University of Defence, Brno, Czech Republic

1 The basic equations of fluid dynamics

CFD Lab Department of Engineering The University of Liverpool

Advanced Load Alleviation for Wind Turbines using Adaptive Trailing Edge Flaps: Sensoring and Control

A NUMERICAL METHOD TO PREDICT THE LIFT OF AIRCRAFT WINGS AT STALL CONDITIONS

Lecture 6 - Boundary Conditions. Applied Computational Fluid Dynamics

CE 6303 MECHANICS OF FLUIDS L T P C QUESTION BANK PART - A

Dimensional Analysis

HALE UAV: AeroVironment Pathfinder

CE 3500 Fluid Mechanics / Fall 2014 / City College of New York

Titanium 50 inch and 60 inch Last-stage Blades for Steam Turbines

INLET AND EXAUST NOZZLES Chap. 10 AIAA AIRCRAFT ENGINE DESIGN R01-07/11/2011

Gas Dynamics Prof. T. M. Muruganandam Department of Aerospace Engineering Indian Institute of Technology, Madras. Module No - 12 Lecture No - 25

Aerodynamic Department Institute of Aviation. Adam Dziubiński CFD group FLUENT

Development and Design of a Form- Adaptive Trailing Edge for Wind Turbine Blades

Problem Set V Solutions

Transient Performance Prediction for Turbocharging Systems Incorporating Variable-geometry Turbochargers

COMPARISON OF COUNTER ROTATING AND TRADITIONAL AXIAL AIRCRAFT LOW-PRESSURE TURBINES INTEGRAL AND DETAILED PERFORMANCES

Design and Structural Analysis of the Ribs and Spars of Swept Back Wing

NACA FINDING LIFT COEFFICIENT USING CFD, THEORETICAL AND JAVAFOIL

Aerodynamic Design Optimization Discussion Group Case 4: Single- and multi-point optimization problems based on the CRM wing

Direct Gear Design for Optimal Gear Performance

Navier-Stokes Equation Solved in Comsol 4.1. Copyright Bruce A. Finlayson, 2010 See also Introduction to Chemical Engineering Computing, Wiley (2006).

Resistance & Propulsion (1) MAR Presentation of ships wake

Differential Relations for Fluid Flow. Acceleration field of a fluid. The differential equation of mass conservation

Distinguished Professor George Washington University. Graw Hill

Risø-R-1374(EN) Design of a 21 m Blade with Risø-A1 Airfoils for Active Stall Controlled Wind Turbines

Flow Physics Analysis of Three-Bucket Helical Savonius Rotor at Twist Angle Using CFD

FLow pattern around cable and its aerodynamic characteristics in critical Reynolds number range

CFD simulations of flow over NASA Trap Wing Model

Chapter 3.5: Fans and Blowers

Angular acceleration α

Study on Drag Coefficient for the Flow Past a Cylinder

NUMERICAL ANALYSIS OF A MODEFID AIRFOIL FOR WIND TURBINE

Highly Optimizable Laminar Flow Control Devices

Computational Aerodynamic Analysis on Store Separation from Aircraft using Pylon

Design and Characterization of a Small Wind Turbine Model equipped with a Pitching System

EXPERIMENTAL ANALYSIS OR AIRFOIL FOR HIGH ANGLE OF ATTACK

Transcription:

Theory of turbo machinery / Turbomaskinernas teori Chapter 3

D cascades Let us first understand the facts and then we may seek the causes. (Aristotle)

D cascades High hub-tip ratio (of radii) negligible radial velocities D cascades directly applicable Low hub-tip ratio Blade speed varying Blades twisted from hub to tip

Twist

Generic airfoils NACA airfoil Double circular arcs (DCA) C4 prescribed pressure distribution

D cascades FIG. 3.1. Compressor cascade wind tunnels. (a) Conventional low-speed, continuous running cascade tunnel (adapted from Carter et al. 1950). (b) Transonic/supersonic cascade tunnel (adapted from Sieverding 1985).

D cascades FIG. 3.. Streamline flow through cascades (adapted from Carter et al. 1950).

D cascades How long must the infinite direction be to make derivatives negligible?

D cascades Camber line yx ( ) Max camber b = ya ( ) Profile thickness tx ( ) t y x a FIG. 3.4. Compressor cascade and blade notation.

Profile families Notice how the maximum thickness point differs C4 at 30%, NACA65 at 40% and DCA at 50% Maximum thickness close to leading edge => wider operating range but poorer high speed performance

Maximum t max /l for a modern high speed compressor is below 0.05 Wind turbine blade section (close to hub) requiring a very wide operating range. Low speed with extremely large t max /l

D cascades Spacing Stagger angle Camber angle Change in angle of the camber line Blade entry angle Blade exit angle Inlet flow angle Incidence s ξ θ α ' 1 α ' α1 i FIG. 3.4. Compressor cascade and blade notation.

D cascades Fluid deviation Incidence is chosen by designer With limited number of blades: α ' α So that the deviation may be defined as δ = α α ' FIG. 3.4. Compressor cascade and blade notation.

Aspect ratio Two aspect ratios exist: H/l, where H = blade height = r tip - r hub and l is the corda H/b, where b is the axial corda

D cascades Cascades are used to measure losses generated through blade boundary layers flow separation shock waves And to estimate deviation As stated, the flow does not exactly follow the blade, but it is underturned δ = α α ' FIG. 3.7. The flow through a blade cascade and the formation of wakes (Johnsson and Bullock, 1965).

D cascades performance parameters Y ζ p, compressor p, turbine = = c, is p p c 01 01 c, is p p 0 1, Y p, turbine = p p 01 01 p p 0 Pressure loss coefficient Energy loss coefficient

D cascades performance parameters The purpose is to establish functional relationships where α = f ( M, α,re) (Deviation) Y p = ζ = f f 3 1 ( M ( M 1 1 1, α,re), α,re) 1 1 1 Pressure loss coeff. Energy loss coeff.

D cascades Experimental Techniques in separate lecture Experiments should help determining Blade shape (thickness, max camber, position ) Space chord ratio Deviation.. http://www.ppart.de/aerodynamics/profiles/naca4.html Generalized experiments

Cascade flow characteristics Cascade measurements are D => properties such as deviation and loss coefficients have to be determined by integration: Incoming flow Slots for traversing instruments m = Y s 0 tanα ρc = x s 0 s p, compressor Hdy 0 c = y x ρc s x c ρc x p p Hdy Hdy 01 = p p 0 01 1 s ρc 0 s 0 s dy x 0 dm ρc 0 d m x x ρc c x ρc dy y dy dy,is Turntable As probe is traversed downstream of cascade a periodic flow is observed Stagnation pressure change as probe is traversed through one wake

D cascades (incompressible) Continuity: c cosα = c cosα = cx 1 1 Momentum (x and y): ( ) X = p p s 1 ( 1 ) Y = ρsc c c or x y y ( tan tan ) Y = sc x ρ α1 α FIG. 3.10. Forces and velocities in a blade cascade. Forces per unit depth!

D cascades Energy losses Loss in total pressure from skin friction Δp0 Δp0 p1 p 1 = + ρ ρ ( c ) 1 c ( ) X = p p s ( y cx) ( y cx) ( y1 y)( y y) c c = c + c + = c + c c c 1 1 1 1 ( 1 ) Y = ρsc c c x y y Δp0 X Y tanα1+ tanα X Y = + = + tanαm Def of α m ρ sρ sρ ρs ρs

D cascades Energy losses Dimensionless forms are obtained normalizing with axial or absolute velocity : Stagnation pressure loss coefficients ζ = Δp ρc 0 x Δp ω = ρc 1 0 Pressure rise coefficient and tangential force coefficient are C C p f p p X = = ρ = 1 cx ρscx Y ρsc x C = C tanα ζ p f m

D cascades Lift and drag Corrected lift and drag coefficients versus angle of attack, α A, from wind tunnel measurements for the profiles NACA 441 to 444. Adapted from Paulsen, U.S.: Aerodynamics of a full-scale, non rotating wind turbine blade under natural wind conditions, Risø National Laboratory, Roskilde Denmark 1989 Note: many different definitions of angle of attack exist! C C L D L = ρc l = m D ρc l m

D cascades Lift and drag FIG. 3.11. Lift and drag forces exerted by a cascade blade (of unit span) upon the fluid. c = c cosα m x m Lift and drag forces are same as Y and X, but in the coordinates of the blades FIG. 3.1. Axial and tangential forces exerted by unit span of a blade upon the fluid. L= X sinα + Ycosα D= Ysinα X cosα m m m m

D cascades Lift and drag Rearranging previous equations: ( ) L = ρsc tanα tanα secα sδp sinα D= sδp x 1 m 0 m 0 cosα m secα = 1 cosα Dimension less forms are C C L D L D ( ) ρsc tanα tanα secα sδp sinα L x 1 m 0 m m ρcl m = = ρcl D sδp cosαm = = ρcl cl C 0 m ρ m secαm ζ f ( tan tan ) sec = L α1 α αm C = = D ζ (3.6 b) C

D cascades Circulation and lift Bases in potential theory Kutta-Joukowski Theorem: L = Γρc

D cascades Velocity on suction and pressure surfaces Low pressure (suction side) is obtained through high velocity At the trailing edge the velocities must match This requires a large velocity decrease (diffusion) with potential for flow separation A diffusion factor may be defined (Lieblein): DF loc = ( c c ) max, s c max, s

D cascades Incidence changes velocity, and thereby, pressure distribution FIG. 3.17. Effect of incidence on surface Mach number distribution around a compressor blade cascade

D cascades Velocity on suction and pressure surfaces What does the velocity distribution look like? (Inviscid computation) Please note: Fluid elements passing pressure and suction side do NOT pass the foil in the same amount of time

D cascades Efficiency of a compressor cascade Compressor blade cascade efficiency defined as diffuser efficiency: η D = ρ p p 1 ( c c ) 1 so that Δp 0 = 0 when η D = 1 η D ( ) ρ ( ) 1 ( ) ρcx tanαm( tanα1 tanα) p p -Δp + c c Δp = = = ρ c c c c 1 0 1 0 1 ρ 1 In terms of drag and lift coefficients, this can be shown to become: η D = 1 C L CD sin α m

D cascades Efficiency of a compressor cascade Assuming constant ratio between lift and drag C C = const. D L An optimum of η D = 1 C L CD sin α m may be found by differentiation: η α 4C cos α = = 0 α = 45deg D D m m CLsin αm m, opt And the corresponding efficiency becomes η D,max C = C 1 D L

D cascades FIG. 3.. Streamline flow through cascades (adapted from Carter et al. 1950).

D cascades FIG. 3.8. Contraction of streamlines due to boundary layer thickening (adapted from Carter et al. 1950).

Profile loss (Ainley & Mathieson correlation) Axial flow turbine Determine Y p at zero incidence (Y p,i=0 ). Y p at any other incidence is predicted as a function of the ratio i/i s where i s is the stalling incidence. The stalling incidence i s is defined as the incidence where the profile loss has doubled from the zero incidence loss. Y p = p p 01 01 p p 0 (3.6) So, what about Y p,i=0?

Profile loss (Ainley & Mathieson correlation) Y p,i=0 is determined by an interpolation procedure between two extreme turbine design concepts: a) Nozzle blades: large amount of acceleration in blade row b) Impulse blades: no acceleration in relative frame From what do you know about diffusion why is the profile loss coefficient Y p much higher for the impulse blades than for the nozzle blades?!! The expression used for Y p,i=0 is: Y 1 1 α 1 tmax / l α + ( ) [ Yp( α ] ( ) 1= α ) Yp( α1 0) α 0. p( i= 0) = Yp( α = 0) = α (3.49) Use β for α 1 and β 3 for α if rotor blades are being considered

Reynolds number correction (Ainley & Mathieson correlation) Correct around the nominal Re-number = 10 5 according to: 1 η 1 η tt,corrected tt,nominal Re = 5 10 0.0 Correction is valid down to Re-number 10 4. Renumber is computed on chord at blade mean and exit flow conditions from the turbine.

Simplified correlation (Soderberg) Turbines If turbines are designed to operate at optimal space chord ratio (defined through the Zweifel criterion), and at zero incidence turbine blade losses can be correlated according to: ζ = tmax f ( ε,, AR,Re) l where ε = fluid deflection, t max /l= maximum thickness to chord ratio, AR = is blade aspect ratio and Re is Reynolds number.

Simplified correlation (Soderberg) For AR = 3.0 and Re=10 5 a nominal loss coefficient is predicted from: * ζ = + 0.04 0.06( ε ) 100 where the deflection ε is in degrees. If the aspect ratio deviates from the nominal aspect ratio AR=3.0, the following correction is used (b=axial chord, H, blade height): * 0.01b 1+ ζ 1 = (1 + ζ )(0.993 + ) ( nozzle H * 0.075b 1+ ζ 1 = (1 + ζ )(0.975 + ) ( rotor H If the Re-number deviates from Re=10 5, a correction must be predicted from: row) row)

Simplified correlation (Soderberg) If the Re-number deviates from Re=10 5, a correction must be predicted from: ζ 5 10 = Re 1/ 4 ζ 1 Where the Re-number is based on the hydraulic diameter according to: D sh cosα = h s cosα + H

D cascades Incidence: i = α α ' 1 1 Deflection: ε = α1 α Compressor cascade characteristics (Howell 194). (By courtesy of the Controller of H.M.S.O., Crown copyright reserved).

D cascades Generalizing experimental results Deviation by Howell: Nominal deviation a function of camber and space chord ratio: δ = α α ' δ = mθ ( sl) * n with the following constants for compressor cascades n = 0.5 ( ) * m= 0.3 al + a 500

D cascades Generalizing experimental results FIG. 3.16. Variation of nominal deflection with nominal outlet angle for several space/chord ratios (adapted from Howell 1945). Example 3. recommended

D cascades Optimum space chord ratio of turbine blades (Zweifel) Note angle def! FIG. 3.8. Pressure distribution around a turbine cascade blade (after Zweifel 1945).

D cascades Optimum space chord ratio of turbine blades (Zweifel) Tangential load (force) Maximum tangential load (force) ( ) Y = m c y + c 1 y = ( p p )bh Y id 01 ( b is passage width ) Incompressible loss free flow p p = ρ 01 c Ratio of real to ideal load for minimum losses is around 0.8, after some manipulations: Y ΨT = = ( sb) cos α( tanα1+ tanα) 0.8 Y id For specified inlet and outlet angles sb or sl may be determined

Turbine limit load FIG. 3.3. Schlieren photograph of flow in a highly loaded transonic turbine cascade with an exit Mach number of 1.15 (from Xu, 1985).