Quiet Supersonic Jet Engine Performance Tradeoff Analysis Using a Response Surface Methodology Approach

Files
02WAC-120.pdf (729.01 KB)
Author(s)
Briceño, Simón Ignacio
Advisor(s)
Editor(s)
Associated Organization(s)
Organizational Unit
Daniel Guggenheim School of Aerospace Engineering
The Daniel Guggenheim School of Aeronautics was established in 1931, with a name change in 1962 to the School of Aerospace Engineering
Organizational Unit
Organizational Unit
Series
Collections
Research Publications
Supplementary to:
Permanent Link
http://hdl.handle.net/1853/6286
Abstract
Recent market studies indicate a renewed interest for a quiet Supersonic Business Jet (SBJ). The success of such a program will be strongly dependent upon the achievement of stringent engine noise, emissions and fuel consumption goals. This paper demonstrates the use of advanced design methods to develop a parametric design space exploration environment which will be ultimately used for the identification of an engine concept capable of satisfying acoustic levels imposed by FAR part 36 (stage IV) and NOx and CO2 standards as stated in the 1996 ICAO. The engine performance is modeled through the use of Response Surface and Design of Experiments Techniques, enabling the designer/decision-maker to change initial engine parameter values to detect the effects of the responses in a time efficient manner. Engine performance and engine weight results are obtained through physics-based engine analysis codes developed by NASA. An SBJ airframe baseline model is used in conjunction with the engine performance data and executed through a synthesis and sizing code to simulate a supersonic mission. This paper focuses on the tradeoffs associated with noise, emissions and specific fuel consumption of the supersonic engine by employing design parameters such as overall pressure ratio, fan pressure ratio, turbine inlet temperature and throttle ratio. Finally, an optimal engine combination is created to satisfy all the constraints imposed by the aforementioned regulations for a particular mission configuration. Using a statistical analysis package, the designer has the ability to analyze tradeoffs that allows adjustments to be made to certain parameters that, although may compromise others, will still allow the system to fall within engine regulatory limits.
Sponsor
Date
2002-11
Extent
746505 bytes
1905 bytes
Resource Type
Text
Resource Subtype
Paper
Rights Statement
Rights URI