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TECHNICAL PAPERS

Measurement and Prediction of the Influence of Catalytic and Dry Low NOx Combustor Turbulence on Vane Surface Heat Transfer

[+] Author and Article Information
Forrest E. Ames, Chao Wang, Pierre A. Barbot

Mechanical Engineering Department, University of North Dakota, Grand Forks, ND 58202

J. Turbomach 125(2), 221-231 (Apr 23, 2003) (11 pages) doi:10.1115/1.1559898 History: Revised November 08, 2001; Online April 23, 2003
Copyright © 2003 by ASME
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References

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Figures

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Schematic of cascade test section for large-scale low-speed wind tunnel
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Cross-sectional view of large-scale conventionally loaded vane used in this study
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Schematic of mock aeroderivative combustor turbulence generator
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Digital photo of dry low NOx swirlers installed in mock combustor liner
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Digital photo of catalytic combustor surface installed in mock combustor liner
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Comparison between measured and predicted vane midspan pressure distribution
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Low-turbulence vane Stanton number distributions with STAN7 predictions
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One-dimensional spectra of u for aero-derivative combustor
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Effects of mock combustor turbulence characteristics on vane Stanton number distributions, Rec=500,000
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Effects of mock combustor turbulence characteristics on vane Stanton number distributions, Rec=1,000,000
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Effects of mock combustor turbulence characteristics on vane Stanton number distributions, Rec=2,000,000
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Effects of mock combustor turbulence characteristics on Stanton number augmentation and location of transition, Rec=500,000
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Effects of mock combustor turbulence characteristics on Stanton number augmentation and location of transition, Rec=1,000,000
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Effects of mock combustor turbulence characteristics on Stanton number augmentation and location of transition, Rec=2,000,000
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Correlation of pressure surface Stanton number augmentation with turbulence intensity, energy scale, and chord Reynolds number
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Correlation of stagnation region Nusselt number augmentation with TRL parameter
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Prediction of turbulence effects on vane Stanton number distributions using STAN7 with ATM and Mayle 15, Rec=500,000
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Prediction of turbulence effects on vane Stanton number distributions using STAN7 with ATM and Mayle 15, Rec=1,000,000
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Prediction of turbulence effects on vane Stanton number distributions using STAN7 with ATM and Mayle 15, Rec=2,000,000
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Prediction of turbulence effects on vane Stanton number distributions with stagnation region model, Rec=2,000,000

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