BPN687: Robust Optical Flame Detection in Harsh Environments


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. For this purpose, we're exploring difference device possibilities based on ZnO nanowires, graphene, diamond, etc.

Project end date: 02/03/15

Publication date: 
September 3, 2014
Publication type: 
BSAC Project Materials (Final/Archive)
PREPUBLICATION DATA - ©University of California 2014

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