NASA Logo

NTRS

NTRS - NASA Technical Reports Server

Back to Results
Optimization of Turbine Engine Cycle Analysis with Analytic DerivativesA new engine cycle analysis tool, called Pycycle, was built using the OpenMDAO framework. Pycycle provides analytic derivatives allowing for an efficient use of gradient-based optimization methods on engine cycle models, without requiring the use of finite difference derivative approximation methods. To demonstrate this, a gradient-based design optimization was performed on a turbofan engine model. Results demonstrate very favorable performance compared to an optimization of an identical model using finite-difference approximated derivatives.
Document ID
20170000232
Acquisition Source
Glenn Research Center
Document Type
Conference Paper
Authors
Hearn, Tristan
(NASA Glenn Research Center Cleveland, OH United States)
Hendricks, Eric
(NASA Glenn Research Center Cleveland, OH United States)
Chin, Jeffrey
(NASA Glenn Research Center Cleveland, OH United States)
Gray, Justin
(NASA Glenn Research Center Cleveland, OH United States)
Moore, Kenneth T.
(DB Consulting Group, Inc. Cleveland, OH, United States)
Date Acquired
January 4, 2017
Publication Date
June 13, 2016
Subject Category
Aircraft Propulsion And Power
Computer Programming And Software
Report/Patent Number
GRC-E-DAA-TN32054
Meeting Information
Meeting: AIAA Aviation 2016
Location: Washington, DC
Country: United States
Start Date: June 13, 2016
End Date: June 17, 2016
Sponsors: American Inst. of Aeronautics and Astronautics
Funding Number(s)
CONTRACT_GRANT: NNC14BA04B
WBS: WBS 109492.02.03.01.10
Distribution Limits
Public
Copyright
Public Use Permitted.
Keywords
OpenMDAO
Turbine engine
Analytic derivatives
No Preview Available