The focus of this paper is the impact of manufacturing variability on turbine blade cooling flow and, subsequently, its impact on oxidation life. A simplified flow network model of the cooling air supply system and a row of blades is proposed. Using this simplified model, the controlling parameters which affect the distribution of cooling flow in a blade row are identified. Small changes in the blade flow tolerances (prior to assembly of the blades into a row) are shown to have a significant impact on the minimum flow observed in a row of blades resulting in substantial increases in the life of a blade row. A selective assembly method is described in which blades are classified into a low-flow and a high-flow group based on passage flow capability (effective areas) in life-limiting regions and assembled into rows from within the groups. Since assembling rows from only high-flow blades is equivalent to raising the low-flow tolerance limit, high-flow blade rows will have the same improvements in minimum flow and life that would result from more stringent tolerances. Furthermore, low-flow blade rows are shown to have minimum blade flows which are the same or somewhat better than a low-flow blade that is isolated in a row of otherwise higher-flowing blades. As a result, low-flow blade rows are shown to have lives that are no worse than random assembly from the full population. Using a higher fidelity model for the auxiliary air system of an existing jet engine, the impact of selective assembly on minimum blade flow and life of a row is estimated and shown to be in qualitative and quantitative agreement with the simplified model analysis.

1.
Cyrus
,
J. D.
, 1986, “
Engine Component Life Prediction Methodology for Conceptual Design Investigations
,” ASME Paper 86-GT-24.
2.
Tumer
,
I. Y.
, and
Bajwa
,
A.
, 1999, “
Learning About How Aircraft Engines Work and Fail
,” AIAA Paper No. AIAA-99-2850.
3.
Wood
,
M. I.
, 2000, “
Gas Turbine Hot Section Components: The Challenge of ‘Residual Life’ Assessment
,” in
Proceedings of the I MECH E: Journal of Power and Energy
,
Proc. Inst. Mech. Eng., IMechE Conf.
,
214
(
3
), pp.
193
201
.
4.
Holland
,
M. J.
, and
Thake
,
T. F.
, 1980, “
Rotor Blade Cooling in High Pressure Turbines
,”
J. Aircr.
0021-8669,
17
(
6
), pp.
412
418
.
5.
Sidwell
,
C. V.
, 2004, “
On the Impact of Variability and Assembly on Turbine Blade Cooling Flow and Oxidation Life
,” PhD thesis, Massachusetts Institute of Technology.
6.
Sidwell
,
V.
, and
Darmofal
,
D. L.
, 2003, “
Probabilistic Analysis of a Turbine Cooling Air Supply System: The Effect on Airfoil Oxidation Life
,” ASME Paper No. GT2003-38119.
7.
Swaminathan
,
V. P.
,
Allen
,
J. M.
, and
Touchton
,
G. L.
, 1986, “
Temperature Estimation and Life Prediction of Turbine Blades Using Post Service Oxidation Measurements
,” ASME Paper No. 96-GT-528.
8.
Liu
,
Z.
,
Volovoi
,
V.
, and
Mavris
,
D. N.
, 2002, “
Probabilistic Remaining Creep Life Assessment for Gas Turbine Components Under Varying Operating Conditions
,” AIAA Paper No. AIAA-2002-1277.
9.
Suo
,
M.
, 1978,
The Aerothermodynamics of Aircraft Gas Turbine Engines
, Chapter on Turbine Cooling,
G.
Oates
, ed., Air Force Wright Aeronautical Laboratories, Wright-Patterson AFB, OH, Report No. AFAPL-TR-78-52.
10.
Sidwell
,
V.
, and
Darmofal
,
D. L.
, 2004, “
A Selective Assembly Method to Reduce the Impact of Blade Flow Variability on Turbine Life
,” ASME Paper No. GT2004-53930.
11.
Sidwell
,
V.
, and
Darmofal
,
D. L.
, 2003, “
Method for Assembling Gas Turbine Engine Components
,” U.S. Patent Application, Nov. 2003, Serial Number 10∕717408.
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