The Naval Surface Warfare Center Gas Turbine Emerging Technologies section conducted land-based testing on a gas turbine generator set in December 2003. The purpose of this testing, which was conducted on a Rolls Royce/Allison 501-K17 gas turbine, was to collect data that could be used to improve a previously developed computer program for predicting optimal compressor wash time intervals. For the purpose of Phase I of this testing, fouling was accomplished by injecting salt into the gas turbine inlet air stream. Phase II of this testing will consist of fouling the middle and back regions of the compressor. Influence coefficients can then be developed for each of these regions indicating how a given region affects overall performance. Typically, in a marine environment, fouling of the front stages occurs due to ingested salt while fouling in middle and rear regions occurs from a combination of ingested salt and oil seal leakage. A number of sensors, including compressor inlet and discharge condition probes, bleed air flow and fuel flow meters, were added in order to monitor engine performance during the testing. In addition, hardware was added to both ingest and monitor the concentration of salt in gas turbine inlet air. For Phase II testing, middle and rear stages of the 14-stage compressor shall be accessed through existing 5th and 10th stage bleed ports. A salt solution will be physically applied to the blades while the compressor is rotated by hand. Results from Phase I indicate that front stage compressor fouling causes a clear increase in inlet static pressure. This is due to the mass flow restriction through the compressor. Additional results are currently being summarized, and data is being utilized to improve the 501-K17 compressor wash prognostics algorithm previously noted.
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ASME Turbo Expo 2005: Power for Land, Sea, and Air
June 6–9, 2005
Reno, Nevada, USA
Conference Sponsors:
- International Gas Turbine Institute
ISBN:
0-7918-4728-4
PROCEEDINGS PAPER
Improvements to Compressor Prognostics Algorithm for US Navy Ship Service Gas Turbine Generator Sets
Daniel E. Caguiat,
Daniel E. Caguiat
Naval Surface Warfare Center – Carderock Division, Philadelphia, PA
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Jeffrey S. Patterson,
Jeffrey S. Patterson
Naval Surface Warfare Center – Carderock Division, Philadelphia, PA
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John Scharschan,
John Scharschan
Naval Surface Warfare Center – Carderock Division, Philadelphia, PA
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Knox Millsaps, Jr.
Knox Millsaps, Jr.
Naval Post Graduate School, Monterey, CA
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Daniel E. Caguiat
Naval Surface Warfare Center – Carderock Division, Philadelphia, PA
Jeffrey S. Patterson
Naval Surface Warfare Center – Carderock Division, Philadelphia, PA
John Scharschan
Naval Surface Warfare Center – Carderock Division, Philadelphia, PA
Knox Millsaps, Jr.
Naval Post Graduate School, Monterey, CA
Paper No:
GT2005-68105, pp. 557-565; 9 pages
Published Online:
November 11, 2008
Citation
Caguiat, DE, Patterson, JS, Scharschan, J, & Millsaps, K, Jr. "Improvements to Compressor Prognostics Algorithm for US Navy Ship Service Gas Turbine Generator Sets." Proceedings of the ASME Turbo Expo 2005: Power for Land, Sea, and Air. Volume 5: Turbo Expo 2005. Reno, Nevada, USA. June 6–9, 2005. pp. 557-565. ASME. https://doi.org/10.1115/GT2005-68105
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