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BPN687: QES: Robust Optical Flame Detection in Harsh Environments
| Project ID |
BPN687 |
| Website |
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| Start Date |
Tue 2012-Aug-14 21:50:35 |
| Last Updated |
Sun 2013-Jan-27 20:38:23 |
| Abstract |
The goal of this project is to create a UV sensor for use as a flame detection system in gas turbine engine applications. In many gas-turbine engines, unnecessary engine shutdowns arise from sensors failing to detect the engine flame because of deep films of oil and/or water that block the sensor. In the infrared- and visible-light regions of the optical spectrum there is limited penetration through oil/water mixtures. A UV sensor is to be designed that will be able to robustly detect flames through oil/water mixtures that may build up on lenses in the gas turbine engine. Zinc oxide (ZnO) nanowire arrays have been identified as a promising approach to developing a harsh- environment UV sensor because of their ease of preparation, tunability of optoelectronic properties, and inexpensive and scalable device fabrication methods. |
| Status |
Continuing |
| Funding Source |
Industry |
| IAB Research Area |
Physical Sensors & Devices |
| Researcher(s) |
Roseanne Warren |
| Advisor(s) |
Albert P. Pisano, Liwei Lin |
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