[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.5139/IJASS.2014.15.4.434

Performance Analysis of an Aircraft Gas Turbine Engine using Particle Swarm Optimization

Choi, Jae Won (Department of Aerospace and Mechanical Engineering, Korea Aerospace University)
Sung, Hong-Gye (School of Aerospace and Mechanical Engineering, Korea Aerospace University)

Publication Information

International Journal of Aeronautical and Space Sciences / v.15, no.4, 2014 , pp. 434-443 More about this Journal

Abstract

A turbo fan engine performance analysis and the optimization using particle swarm optimization(PSO) algorithm have been conducted to investigate the effects of major performance design parameters of an aircraft gas turbine engine. The FJ44-2C turbofan engine, which is widely used in the small business jet, CJ2 has been selected as the basic model. The design parameters consists of the bypass ratio, burner exit temperature, HP compressor ratio, fan inlet mass flow, and nozzle cooling air ratio. The sensitivity analysis of the parameters has been evaluated and the optimization of the parameters has been performed to achieve high net thrust or low specific fuel consumption.

Keywords

Gas Turbine Engine; Turbo Fan Engine; Particle Swarm Optimization; Net Thrust; Specific Fuel Consumption;

Citations & Related Records

Reference

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