Multi-Disciplinary Development of a Smart CMC Combustor for an Intelligent Engine System

摘要

The findings are described of an investigation to determine the feasibility of utilizing temperature and/or strain and stress sensor data in a computer program to monitor the health, in real time, of a ceramic gas turbine combustor operating at elevated temperatures (greater than 20,000 F). The ultimate purpose is to provide feedback to initiate corrective action should a threat to combustor health occur. This investigation evaluates the feasibility of the following: (1) Selection of sensor technology and CMC material for potential use in developing a smart CMC combustor, (2) development of a finite element simulation model of a sensor equipped, smart, CMC combustor based on and verified with test data, (3) use of simulation model and GENOA, NESSUS and CEMCAN available computer codes, to calibrate, and perform: (1) finite element analysis to predict CMC combustor structural response under load, (2) probabilistic analysis of the CMC combustor operating with benefit of sensor input, (3) probabilistic determination of sensor influence coefficients needed to enhance existing CEMCAN code capability for prediction of the structural response of a CMC combustor with embedded sensors, (4) modification of existing CMC data bank using CEMCAN to account for material property changes due to embedded sensors, and (5) use of GENOA to assist in design of a ceramic combustor for a gas turbine engine. Results obtained establish the feasibility of every item enumerated above.