Estimation of Profile Losses

Slides:



Advertisements
Similar presentations
OFF DESIGN PERFORMANCE PREDICTION OF STEAM TURBINES
Advertisements

Instructor: André Bakker
Numerical Analysis for Influence of Cascade Solidity on the Performances of Cavitating Inducers Xiaojun Li Research Center of Fluid.
Lecture 8 – Axial turbines 2 + radial compressors 2
Convection in Flat Plate Turbulent Boundary Layers P M V Subbarao Associate Professor Mechanical Engineering Department IIT Delhi An Extra Effect For.
AXIAL FLOW COMPRESSORS
Lecture 10 – Axial compressors 2
Operating Characteristics of Nozzles P M V Subbarao Professor Mechanical Engineering Department I I T Delhi From Takeoff to cruising …… Realizing New.
FUNDAMENTALS OF FLUID MECHANICS
Lecture 7 – Axial flow turbines
Gas Dynamics of Turbine Cascades P M V Subbarao Professor Mechanical Engineering Department Its Group Performance, What Matters.……
Lecture 7 Exact solutions
Introduction to Convection: Flow and Thermal Considerations
Theoretical & Industrial Design of Aerofoils P M V Subbarao Professor Mechanical Engineering Department An Objective Invention ……
Minimization of Profile Losses : Local Modifications of Blade Profile
Characterization of Losses in Turbine Cascades P M V Subbarao Professor Mechanical Engineering Department Convert the problems into Opportunities……
P M V Subbarao Professor Mechanical Engineering Department I I T Delhi
Development of Turbine Cascades
Classification of Flow Regimes : Blade Profile Losses
Boundary Layer Correction of Viscous Flow Through 2 D Turbine Cascades
Matching of Bucket to Jet in Pelton Wheels Satisfying the Concerns of Pelton……. P M V Subbarao Professor Mechanical Engineering Department.
TURBOMACHINES Chapter 7 STEAM TURBINES
DESIGN OF AXIAL FLOW COMPRESSORS Proper Integration of Mild Compression Stages !!! P M V Subbarao Professor Mechanical Engineering Department.
Large Steam& Gas Turbines P M V Subbarao Professor Mechanical Engineering Department Backbones of Modern Nations ……
The Curtis Turbine & The Parson Turbine P M V Subbarao Professor Mechanical Engineering Department Options for Economically Viable Speeds……
Introduction to Convection: Flow and Thermal Considerations
Stagnation Properties P M V Subbarao Professor Mechanical Engineering Department I I T Delhi Capacity of A Resource…..
Design & Thermo Chemistry of Turbo Combustor P M V Subbarao Professor Mechanical Engineering Department Design for performance, safety and Reliability…..
Analysis of A Disturbance in A Gas Flow P M V Subbarao Associate Professor Mechanical Engineering Department I I T Delhi Search for More Physics through.
Turbomachinery Class 8a
Turbomachinery Design Considerations
Aerodynamics of Wind Turbines Part -3
Analysis of Axial & Centrifugal Compressors To be Selected as per Specific Speed of Applications…. P M V Subbarao Professor Mechanical Engineering Department.
Chapter 6 Introduction to Forced Convection:
DESIGN OF CASCADE for AXIAL FLOW COMPRESSORS
Axial compressors 1 + compEDU tutorial
Gas dynamics of Real Combustion in Turbo Combustor P M V Subbarao Professor Mechanical Engineering Department Make Sure that design is Acceptable to Gas.
Convection in Flat Plate Boundary Layers P M V Subbarao Associate Professor Mechanical Engineering Department IIT Delhi A Universal Similarity Law ……
Turbomachinery Summary Equations. 2 Important Equations.
Evolution of vorticity from the endwall boundary layer P M V Subbarao Professor Mechanical Engineering Department Methods to Estimate Enhanced Losses along.
Design & Aerodynamics of Inlets & Nozzles P M V Subbarao Professor Mechanical Engineering Department Understanding of Real Flow Through Passive Devices…….
Parametric Study of Turbine Cascades P M V Subbarao Professor Mechanical Engineering Department Identification of New design Variables.……
Leakage Flows in Turbine Cascades P M V Subbarao Professor Mechanical Engineering Department In a Large Group, a Fraction of Parcels Will Try to Look for.
Development of Turbine Cascades P M V Subbarao Professor Mechanical Engineering Department Its Group Performance, What Matters.……
Theory of Turbine Cascades P M V Subbarao Professor Mechanical Engineering Department Its Group Performance, What Matters.……

Stagnation Properties
Design of Port Injection Systems for SI Engines
P M V Subbarao Professor Mechanical Engineering Department
DYNAMIC STALL OCCURRENCE ON A HORIZONTAL AXIS WIND TURBINE BLADE
Betz Theory for A Blade Element
Control of Boundary Layer Structure for Low Re Blades
Actual Power Developed by A Rotor
Blade Design for Modern Wind Turbines
Design Analysis of Plate Heat Exchangers
Off-design Performance of A Rotor
Gas Dynamics for Design of Intakes
Design of An Axial Compressor Stage for Jet Engines
Design Analysis of Axial Flow Gas Turbines
Analysis of Multi Stage Steam Turbines
Leakage Flows in Turbine Cascades
Compounding of impulse turbine
Irreversible Flow through A Turbine Stage
Analysis & Control of Profile Losses
Design of Steam & Gas Turbines
Gas/Steam Medium.
Design rules to generate Turbulent Flame Speeds in SI Engines
P M V Subbarao Professor Mechanical Engineering Department I I T Delhi
Condenser in Power Plants
Dual Induction theory for Wind Turbines
Presentation transcript:

Estimation of Profile Losses P M V Subbarao Professor Mechanical Engineering Department Irreversible flow Past A modified blade profile……

Correlation For Profile Losses The correlation for profile loss is developed using test data on linear cascades. One major issue in development of a correlation is the choice of independent variables. Cascade tests can not be carried out with a variation of one parameter. For instance, if the effect of Reynolds number is being measured, almost invariably the Mach number or the aspect ratio of the cascade is being simultaneously altered.

Need for Identification of Loss Parameters Cascade tests Power law relationship

Need for Identification of Generalized Loss Parameters Cascade 3 Cascade 1 Cascade 2

Normalized Loss Parameter Cascade 1 Cascade 3 Cascade 2

Definition of New Profile Loss Ratio Independent Parameters: Reynolds Number based on Opening Roughness factor

Non-dimensional Variables affecting Profile Losses The correlation evolved is based on the analysis of over 100 specific cascade tests and on comparisons with a wide variety of published information. All losses in are related on a basis of velocity coefficients and are dependent on the following parameters : (1) Reynolds number (Re) (based on outlet velocity) (2) Aspect ratio (blade height/chord length ratio); (3) Blade angles and passage geometry; (4) Pitch to chord length ratio; (5) Mach number (Mu); (6) Incidence.

General Practice The profile loss correlation is presented in the form of a basic loss correlation for incompressible flow conditions. The basic correlation itself are derived originally from low speed tests where it could be assumed that the Ma effects could be ignored. The correlation mainly involves a variation in Blade angles, passage geometry and Pitch to chord length ratio only Multiplying correction factors are presented to consider the variation of other parameters.

Effect of Reynolds number Re will have a pronounced effect on profile loss. Typically in the range of Re between 2 x l04 and 2 x l05 the loss will be halved. A general prediction method for use in steam turbine analysis requires that the effect of Re should be predictable up to values of Re, equal to about 4 x l06. This range is obtained at the inlet of modern high pressure (h.p.) cylinders. Thus any correlation of cascade data which neglects the Reynolds number of test is of little value.

The Most Important Dimensionless Parameter The Re based on the blade opening ks : Equivalent grain size

Classification of cascade Flow Regimes b

Class – 1: Guided Flow : Selection of Profile Parameters Relative profile thickness, tmax/b, Position of maximum thickness, xtmax/b Relative radius of curvature, Ru/Rd Depending on the distribution of Design loading, decisions are made; on the position of maximum thickness, the relative value of curvature upstream and downstream of the throat, Ru/Rd.

Preferred Ranges of Key design parameters 0.20<xtmax/b<0.35, 0.15<tmax/b<0.30 and 4.0 < Ru/Rd < 10 The lower range of Ru/Rd corresponds to a lower degree of aft loading.

More fundamental Study of Roughness Effect It is customary when evaluating friction losses to divide the guided flow regime into three regions: leading edge, suction side trailing edge, and Pressure side trailing edge.

Nature of Losses in Nozzle Blade Passage Flow Nozzle suction side roughness affects stage efficiency approximately three times more than pressure side roughness. In a nozzle of impulse stage, because of the higher pressure drop through the nozzles, approximately 75% of a stage efficiency loss caused by surface roughness is attributed to the nozzles.

Nature of Losses in Rotor Blade Passage Flow The leading edge roughness will have the greatest contribution to stage efficiency loss occurring on the bucket. Rotor Blade (Bucket) leading edge suction side roughness affects stage efficiency approximately two times more than pressure side roughness. This information is affected by turbine section. In general Higher Reynolds Numbers are found in the High-Pressure section (smaller boundary layer), the smaller the projections have to be in order to avoid an increase in friction loss.

Profile loss ratio Vs Reynolds number

Lift Vs Major Blade Profile Parameters

Overall profile loss Vs Lift Impulse Blade >80% reaction Blade

The Seriousness of Unguided Flow Attached flow Flow stall on Suction side

Class – 2 : Unguided zone design parameters: One major aspect of profile design is the behaviour of flow in the unguided zone. In this zone, flow diffusion takes place. The flow behaviour in the unguided zone highly influenced by curvature variation and turning downstream of the throat, the wedge angle and the trailing edge thickness.

Unguided Zone

Losses in Unguided Zone : Nozzle Cascades

Losses in Unguided Zone : Bucket Cascades

Clues to Design Unguided Zone These parameters determine the resulting dissipation in the dead steam region. The deviation angle—and must be carefully optimized during the profile design process. The trailing edge thickness, having the predominant influence on trailing edge loss generation, has to be reduced to a minimum thickness compatible with structural and manufacturing constraints

Class – 3 : Leading Edge Parameters Leading edge radius, LER, Wedge angle, eLE

Clues to Design Leading Edge The sizing of the leading edge radius and leading edge wedge angle has to be compatible with incidence range considerations. Higher values of eLE are desirable. Quasi 3D and 3D design aspects also important to control (reduce) loading in the leading edge region.

Creation of Incidence Angle

Leading Edge Losses

Effect of Mach Number

Performance of Supersonic Blades

Performance of Supersonic Blades