BERKELEY SENSOR & ACTUATOR CENTER
UC BERKELEY UC DAVIS
User: Guest |  Site Map |  My BSAC Profile
HOME  PROJECTS  THRUSTS  PUBLICATIONS  ABOUT BSAC  DIRECTORY  ALUMNI  FOR BSAC RESEARCHERS  EVENTS CALENDAR  SECURE LOGIN
Affiliated Faculty
     
 
Kaiyuan Yao, Ph.D. 2018

Mechanical Engineering
Advisor: Prof. Lin
(510) 612-8261

BIOGRAPHY

QES: Robust Optical Flame Detection in Harsh Environments [BPN687]
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.


Current Active Projects:
BPN687
 

     Last Updated: Thu 2014-Apr-17 10:52:30

back to Researchers



 

  • Copyright Notification: All papers downloaded from this site are © University of California or the publisher, all rights reserved. Contact the BSAC Webmaster for permission related to copyrighted materials.
  • Links on these pages to commercial sites do not represent endorsements by UC or its affiliates.
  • Privacy Policy
  • Contact Us

   webmaster@bsac.eecs.berkeley.edu
  User logged in as: Guest
  User Idle since: September 1, 2014, 9:29 pm