Inte rnatio nal Jo urnal o f Sc ie ntific & Eng inee ring Re se arc h Vo lume 3, Issue 3 , Marc h -2012 1

ISSN 2229-5518

A Modified Stage-Stacking Method for Multi- Stage Axial Flow Compressor Calculations

Tonye K. Jack and Robin L. Elder

Abs tractIn this paper an attempt w as made at studying multi-sage axial f low compressor off-design perf ormance based on tw o existing stage stacking correlations the STEINKE (the Un ited States NASA model ref erred to as the NASA model), and the HOWELL-CALVERT (the United Kingdom NGTE model ref ered to as the H-C model). Variable stator stagger setting is incorporated in an existing Cranf ield optimisation model; and the primary objective is to see if improvements in overall compressor perf ormance can be achieved by combining these models. An exhaustive study in multistage axial compressor perf ormance has not been conducted. The authors how ever believe the relationships provide a basis at estimating axial compressor perf ormance. A computer program based on the model w ill be developed.

Inde x TermsAxial Compressor, Axial Perf ormance, Compressor, Compressor Perf ormance, Compressor Tip Clearance,, Multistage

Co mpressor, Off-Design Perf ormance, Stage Stacking, Variable Stator Stagger

—————————— ——————————

1 INTRODUCTION

Stage-to-stage analysis method is often adopted in eva- luating and predicting the performance of multistage axial flow compressors from stage loading factor
(ΔTCp/U) and pressure rise coefficient (ψ) versus flow coeffi- cient (Φ) relationships [1]. Key parameters and operational
considerations such as tip clearance, stage, stall, Reynolds Number, losses, and others are often designed and analysed based on certain existing derived analytical and/or experi- mental models. Several models exist. The poser for this re- search effort has been: So many Models! Can Axial Compres- sor Performance be improved by parameters study of combin- ing related aspects of these several Models?
relationship for locating stall point. Because of the stage inte- ractions and mismatches that occur during flow separation, a reference location at entry to the stage with the first stage inlet as datum is used to indicate the stall point. This is effectively saying that since stall is “local”, locating the point of stall could be anywhere after the exit of a stage plus the inlet to the next stage. This is similar to the work of Wassel [4], in which the effective length is indicated by the following relationship:

N  entry tofirst stage rotor 

Effective length    

2 THE MINIM UM LOSS M ODEL/CONCEPT

2.1 Stalling Limits

The loss model adopted is based on the Wiscelenus [2] model, where, stalling or separation limits is defined based on the stalling coefficient, σ. In the Wiscelenus model, σ, has values of: σ = 0.5, 0.67, 1. The worst case scenario is assumed to occur at the minimum value of σ. This model was also adopted by Lieblein and others [3], in their break-through research work in deriving the NASA diffusion factors.

2.2 Flow Con siderations

Based on the model adopted, limiting conditions where set for the stalling flow. Furthermore, critical rotor choke flow condi- tions can be predicted (see Appendix).

2.3 Effective Length

Figure (1) shows a simple model that was used to derive a

————————————————

Tonye K. Jack, registered Engineer, and ASME member, has a Mas- ters Degree in Rotating Machine Design from Cranfield University, and is currently a University Teacher in Port Hrrcourt, Rivers State, Nigeria, teaching undergraduate classes in Mechanical Engineering. E-mail: tonyekjack@yahoo.com

Robin L. Elder, Ph.D, Professor of Turbomachinery Design and Engineer- ing, and former Head of Turbomachinery and Engineering Mechanics De- partment, School of Mechanical Engineering, Cranfield University, Eng-

N  0.5   exit of last stage rotor 

Where, N = stage number
This is similar to the present study in which the location of stall is indicated by the following relation:
Stall Point = (Leff - Lx), with the datum at the inlet of the first rotor, and Lx calculated from the point of stall to the exit of last stage rotor.

2.4 Efficiency Correlation

In arriving at a useful relationship for the stall efficiency based on the H-C model [5], the assumption of stall point indicated by twice the minimum loss value, show that the factor, f = 1. This value indicates that the stall efficiency equals the max i- mum stage efficiency. This also implies that the H -C model applies only at flows above stall i.e. M/Ms≥1. An alternative approach will be a model that arrives at a lower, medium, and upper limiting values for the factor, f. This is a more useful model and shows that the stall efficiency is represented by the product: (sefme). Where, sef is the stall efficiency factor based on the range of values of factor, f, when applied to “(6)” in the Appendix. The lower and upper limits of factor, f , corres- pondd to the stalling or separation limits. It should also be noted that the results arrived at agree with the inception of stall in the H-C correlation.

land. He is currently a Director of PCA Engineers Ltd, a Turbomachinery

Engineering Consultancy.

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3 LOSS ES

The Koch-Smith [6] and Lakshiminarayana [7] models where incorporated in accounting for the effect of tip clearance, and other boundary layer effects. A general relationsh ip for com- puting the tip clearance is given based on the Koch -Smith [6] model. At the stage maximum efficiency, the Lakshiminaraya- na [7] model was combined with the H-C [5] model, and pro- vides a useful relationship for estimating the pressure loading, ψ, at maximum stage efficiency.

4 ANNULUS BLOCKAGE

A simple model was adopted to account for the effect of blockage. This model is based on the geometric annulus area and the overall displacement thickness (Appendix 5).

5 STAGGER ANGLE C RITERION

Effect of stagger setting can be studied with the model, by modifications of inlet and outlet angles, incidence and ca mber angles. However, the model is yet to be fully investigated in this direction and results compared to existing cranfield opti- misation model [8] research that has been conducted in this area.

6 EFFECT OF R EYNOLDS NUM BER

The effect of Reynolds Number has been built into the present model since the correlation for tip clearance, and displacement thickness calculations was based on the Koch-Smith [6] model. The Reynolds Number range is 2.5 x 10 5-107. Below this region is regarded as laminar.

4 CONCLUSION

This paper is not an exhaustive study in the Off-Design per- formance of multistage axial flow compressors. The objective of the exercise has been parameteric studies of the Steinke [9] and Howell-Calvert [5] models to arrive at useful relationships that can be applied in compressor design calculations. This modified method has not been applied to any existing com- pressors, and an example is therefore not presented. The au- thors however believe that the method can further be i m- proved, including the derived equations with additional com- pressor parameters.

ACKNOWLEDGM ENT

This unpublished research effort was conducted at Cranfield University in the autumn months of 1998. The authors wish to thank Cranfield School of Mechanical Engineering for provi d- ing the facilities, particularly their specilised research library materials, and computer laboratories.

NOTATIONS

P Pressure, N/mm2
T Temperature, K
Pr Pressure Ratio
Tr Temperature Ratio
D Diffusion Factor

deH de Haller Number = 0.72

ks Specific heat Ratio
Cp Specific heat at constant pressure, kJ/kg.K R Gas Constant, J/kg.K
M Mass Flow, kg/s
Mn Mach number
a velocity of air, m/s
U Blade speed, m/s
d Rotor diameter, mm s space, mm
c chord, mm
Cploss Profile loss coefficient
Re Reynolds Number
ML Minimum loss
N Speed, rpm
A Annulus area, m2
B Blockage factor
t Tip clearance, mm
q Relative temperature to relative flow
Leff Effective length, mm
L Length in axial direction, mm h Blade height, mm
W Work input

i incidence angle n A factor

f A factor

sef Stall efficiency factor

V Flow Velocity. m/s
F Parameters

Subscripts and addition notation

a Axial
s indicates condition at stall cr Critical flow condition
me Point of maximum efficiency
1 Inlet of compressor
x Measured axially from compressor inlet stall location
NASA National Aeronautics and Space Administration
NGTE National Gas Turbine Establishment

Greek Symbols

ρ Density, kg/m3
η Stage efficiency
η’ Stage efficiency without endwall losses
λ Work done factor
δ* Displacement thickness, mm
δTangential force thicjness, mm
κ A constant
ζ Stagger angle
θ Comber angle
βm Mean flow angle α2 Air angle at outlet α1 Air angle at inlet

σ Stalling coefficient factor

Ψ Pressure coefficient

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Φ Flow coefficient
τ parameter
τw Shear Stress in wall
χ constant

Λ Degree of reaction

Δ Difference or change in parameter

REFERENCES

[1] M.D. Doyle and S.L. Dixon, “The Stacking of Compressor Stage Cha- racteristics to Give an Overall Compressor Performance”, The Aero- nautical Quarterly, pp. 349-367, Nov. 1962.

[2] Wiscelenus, Fluid Mechanics of Turbomachinery Belmont, Calif.:

McGraw-Hill, 1947.

APP ENDIX

A.1 NORMAL FORM OF STEINKE MODEL

Va

U

C pT1 Tr  1

 

U 2

k 1

(1) (2)

[3] S. Lieblein, F.C. Schwenk, R.L. Broderick, “Diffusion Factor for Estimating

Pr 1

Losses and Limiting Blade Loadings in Axial Flow Compressor Blade Ele-

ments” , NACA-RME53D01, 1953.

[4] A.B. Wassel, “Reynolds number Effects in Axial Flow Compressor”,

 

Tr  1

(3)

ASME-67-WA/GT-2

[5] A.R. Howell and W. T. Calvert, “A New Stage Stacking Technique for Axial Flow Performance Technique,” ASME J. of Engr. For Power, vol. 2, no. 4, pp. 193 -218, Apr. 1978.

[6] C.C. Koch, and L.H. Smith, “Loss Sources and their ma gnitudes in

Axial Flow Compressors,” ASME J. of Engr. For Power, vol. 2, no. 4, pp. 193-218, July 1976.

[7] B. Lakshiminarayana, “End Wall and Profile Losses in low Speed

Axial Compressors”, ASME-85-GT-174, pp. 22-31

[8] Jinju-Sun, “Modeling Variable Stator Stagger Settings in Multistage

Axial Flow Compressors,” PhD dissertation, School of Mechanical En-

A.2 HOWELL-CALV ERT MODEL

A.2.1 Stage Efficiency Relationship below Stall

Flow

In this case: (M/Ms<1), and the required relationship is:

n

gineering, Cranfield University., Cranfield, England, 1998.

M

F

  1  F

M

 

(4)


7  

s s

7  

s

[9] R.J. Steinke, “A Computer Code for Predicting Multistage Axial

Compressor Performance by Meanline Stage Stacking Method”,

NASA-TP-2020, 1982

[10] R. Bullock, and I. Johnsen, eds. “Aerodynamic Design of Axial Flow Com-

pressors,” eds., NASA-SP 36, 1965.

[11] H. Cohen, G.F.C. Rogers, H.I.H. Saravanamutoo, Gas Turbine Theory

Belmont, Calif.: Longman, pp. 123-135, 1996.

[12] J.E. Crouse, “Computer Program for Aerodynamic and Blading Design for

multistage Axial Flow Compressors”., NASA-TP 1946, 1981.

[13] N.A. Cumpsty, Compressor Aerodynamicsas Belmont, Calif.: Longman, pp. 123-135, 1996.

   

A.2.2 Stage Efficiency Relationship above Stall

Flow

In this case: (M/Ms1), and the required relationship is:

q  12

[14] E.M. Greitzer, “Surge & Rotating Stall in Axial Flow Compressor,” J.  1  F3

(5)

of Engr. For Power, vol. 2, no. 4, pp. 193-218, Apr. 1976.

[15] W.T. Howell, “Stability of Multistage Axial Compressors,” Aero

Quarterly, vol. 2, no. 4, pp. 193-218, Apr. 1964.

[16] A.B. Mckenzie, Axial Flow Fans and Compressors, 1997.

[17] H. Pearson, and T. Bowmer, “Surging of Axial Compressors,” Aero

Quarterly, vol. 2, no. 4, pp. 19 5-210, 1949.

[18] R.G. Willoh, and K. Selder “Multistage Compressor Simulation A p-

me q

Where,

 T

me

plied to the Prediction of Axial Flow Instabilities”, NASA -TM X-

q  T

(5a)

1880, 1969

[19] T.K. Jack, and R.L. Elder, “Decoding the NGTE/Calvert Axial Flow Compressor Program,” International Journal of Science and Engineering Research. Submitted for publication. (Pending publication)

 

 

me

Or

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q tan1  tan2

(5b)

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q1, at maximum stage efficiency

A.2.3 Stall Efficiency from Maximum Efficiency

U 2  1.96T 2 k 2

(12a)

5F f

 12

s

6

Substituting for U in (2)of the STEINKE model re-

me

 1  1  23f

 12

(6)

sults in the following relationships:

F6

425  250

500

(6a)

T  1

A.2.4 Scale Effect

k  25C r

s p 49T

(13)

Because the H-C model was based on a diameter of

Tr  1

400 mm rotor stage, for other stages, an efficiency

k s  25R49T   1

(14)

scaling factor given by (7)is applied:  

 1 

400 

(7)

A.3.2 Temperature Rise, ΔTs

d

A.2.5 Rotor Choke Influence

s a

tan1  tan2

p

(15)

A correlation based on a change in temperature is used to express critical flow conditions and given by;

2

After substitution through eliminating, U and Cp from

(15), the following modified relationship, (16)is ob-

tained for the temperature rise:

adjustedT

 

 0.01 


1 F

(8)

ks

1 V 2

(16)

originalT

4    

Ts

 tan 1  tan 2

 1.01M

 

 

cr  

ks R

corrected 1  1  original

(9)

Further substitution, results in a temperature rise, giv- en by (17)in terms of the Mach number, Mn:

2 T

Ts M n

k s 1tan 1  tan 2

(17)

F4  0.008rotor

(10)

A.3 STEINKE WITH HOW ELL-CALV ERT

A.3.3 Pressure Rise Coefficient, ψ

A.3.1 Specific Heat Ratio

ks 1

ks

From H-C model, at conditions other than air at k=

1.4, the following relationship applies:

  25RPr

 49T k

 s

 1

 1



(18)

k s

U

1.4T

(11)

The next couple of steps show methods for arriving at the stage efficiency relationships and other compres- sor parameters. It should be noted that major steps in

their derivations have been omitted and only the key

U  1.4Tks

(12)

and final steps are shown.

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A.4 COMP UTATIONS FOR FACTOR, f, AND E FFICIENCY

1 2  2i

(23)

Factor f, in ―(6)from the H-C model is given by:

  V 

At maximum stage efficiency, F3=0, and η=ηme

A.5 DIPLACEM ENT THICKNESS AND MINIM UM LOSS

stall :  w 

f   V 

(19)

A.5.1 Diplace ment Thickness

  V 

max .eff . :  w 

  V 

For turbomachines, the following relationships can be applied in estimating the displacement thickness, δ*:

The values for factor f, are, 0.5; 0.67; and 1 based on the modified Wiscelenus loss relationship.

A.4.1 Stall Efficiency from Maximum Stage Effi- ciency

On assumption of 50 % reaction, the stall efficiency

as a function of the maximum stage efficiency is given

by:

For f = 0.5, ηs = 0.8ηme

*  1  V .dA

Blockage B 1  1  * / A

The wall shear stress is:

w  0.003V

(24)

(25)

For f = 0.67, ηs = 0.829ηme

And the static pressure difference is given by,

P  80

V

(26)

For f = 1, ηs = ηme

A.4.2 Stage Efficiency from Maximum Stage Effi- ciency

w *

Substituting and rearranging, we have,

P  0.24
2 V  .

(27)

From (5)of the H-C model,

V

*   W mU Vw

me

 1 

F q  12

q

(20)

A.5.2 Minimum Loss, ML

(27)can be rewritten to obtain (28)

Substituting for q, gives (21)‖:

 P

 

0.72 2

V 

(28)

F tan

 tan

 12

 

 

me

 1  3 1 2

tan1  tan2

(21)

 1 V

 3  * 

(21)can be reduced to the form of (22)by trigo- nometric adjustment,

Where

F tan

1   12

3 1 2

me

 1 

tan1

2

1 

(22)

ML

P

12 V

(28a)

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A.5.3 Factor n

 

P A L T M

1 1 eff x s

 4 deH

 



(33)

x   *

3 ML

A T P  

From (4),

 

x 1 x x

M

F

  1  F

n

M

 

(29)

Effective Stall Point = (Lef f Lx) from datum.


7  

s s

7  

s

A.6 TIP CLEARANCE, WORK INP UT INTO STAGE

   

A.6.1 Tip Clearance

With F7 typically taken as 0.5, the following relation- ship for factor n is obtained,

From the H-C model, the change in efficiency is given by:

 2   

  6280N 

  


Log

LogM 

31

 

(34)

  s  

n

LogM

s

M s 

(30)

Or

  7k sT

'  6280N 

  31  



7k T

(34a)

A.5.4 Computation of Stall Flow

Using figure (1), and the conditions for stall, the fol- lowing limiting condition applies:

  s 

Where, η’ is the stage efficiency of the free stream without end-wall loss and given by the modified Koch- Smith relationship:

25  ML

  M

25  ML

  

(31)


24 

x


6 

x

1  *

'

h

(35)

A.5.5 Locating Stall Point

 1  F

 

 

Again using figure (1), and noting that,

Upon substitution, and noting that, (δFθ/t) = 1.5, the tip

clearance, t, is given by the relationship:

PV cons tan t

(32)

t h 


 

3  

  1 1 

2  

18840N  1   *

(36)

1 

3

7k T

   h

T 



s  

 

Or By combining the H-C model and the Lakshimina- rayana loss estimating relationship,i.e.

P1 A1 Leff

T1

Px Ax Lx

Tx

(32a)

 0.7t 

t

12

 

h 1  10

c  

(37)

 cos m 

  cos m  

Where,

    

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The following simplified relationship for the tip clear- ance-to-chord ratio, (t/c), is obtained as:

Where,

18840N

 1  h

t 1  3  

7k T  

1 3t

0.001 cos m

(38)

  s

 

2h

(44)

c

This can be used to estimate the loading coefficient at maximum efficiency.

 1 

And

1 

2 1 i

A.6.2 Work Input into the Stage and Loss

From (27), the work input into the stage can be writ- ten as,

F4  0.008

1

2 

Leff

(45)

2

P V

*
x

w a 2 1


 0.24V 2

  W mU.V

mUV

tan

 tan

(39)

Or Datum 1-1

P V

U


2  0.48 *   mVa

2 tan2 1 1 

0.5 V

   0.5V

(40)

x
1 Lx 2

P V

U

Fig.1: A simplified compressor model



Loss 0.5V 2  0.48*   m 0.5sV 2 Va tan 2i 1 

   

(41)

Where, κ, is a constant given by,

cos cos

2 1 2 1

cos 2 1  cos 2 1

(42)

A.7 ROTOR CHOKE CONDITION

By combining the H-C and Koch-Smith models, the critical flow is given by,

M cr

M

1.01  F  0.01



(43)

 4



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