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Thermodynamics of Gas Turbine Cycles with Analytic Derivatives in OpenMDAOA new equilibrium thermodynamics analysis tool was built based on the CEA method using the OpenMDAO framework. The new tool provides forward and adjoint analytic derivatives for use with gradient based optimization algorithms. The new tool was validated against the original CEA code to ensure an accurate analysis and the analytic derivatives were validated against finite-difference approximations. Performance comparisons between analytic and finite difference methods showed a significant speed advantage for the analytic methods. To further test the new analysis tool, a sample optimization was performed to find the optimal air-fuel equivalence ratio, , maximizing combustion temperature for a range of different pressures. Collectively, the results demonstrate the viability of the new tool to serve as the thermodynamic backbone for future work on a full propulsion modeling tool.
Document ID
20160005040
Acquisition Source
Glenn Research Center
Document Type
Conference Paper
Authors
Gray, Justin
(NASA Glenn Research Center Cleveland, OH United States)
Chin, Jeffrey
(NASA Glenn Research Center Cleveland, OH United States)
Hearn, Tristan
(NASA Glenn Research Center Cleveland, OH United States)
Hendricks, Eric
(NASA Glenn Research Center Cleveland, OH United States)
Lavelle, Thomas
(NASA Glenn Research Center Cleveland, OH United States)
Martins, Joaquim R. R. A.
(Michigan Univ. Ann Arbor, MI, United States)
Date Acquired
April 14, 2016
Publication Date
January 4, 2016
Subject Category
Aircraft Propulsion And Power
Fluid Mechanics And Thermodynamics
Report/Patent Number
GRC-E-DAA-TN28403
Report Number: GRC-E-DAA-TN28403
Meeting Information
Meeting: AIAA SciTech 2016
Location: San Diego, CA
Country: United States
Start Date: January 4, 2016
End Date: January 8, 2016
Sponsors: American Inst. of Aeronautics and Astronautics
Funding Number(s)
WBS: WBS 109492.02.03.01.10.01
Distribution Limits
Public
Copyright
Public Use Permitted.
Keywords
Propulsion
Optimization
System Analysis
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