Optimization Of Thermodynamic Cycles For Gas Turbines Using Genetic Algorithms.

Lee , Kor Oon and Arunasalam, Parthiban and Ong, Kang Eu and Quadir, G. A. and Seetharamu, K. N. and Aswatha Narayana, P. A. and Abdullah, M. Z. and Azid, I. A. and Zainal Alauddin, Z. A. Optimization Of Thermodynamic Cycles For Gas Turbines Using Genetic Algorithms. Working Paper. Universiti Sains Malaysia.

Preview

PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
6Mb

Abstract

The Darwin's theory of natural evolution is being used in the last one decade for optimization of many engineering systems in the name of genetic algorithms. In the present paper, genetic algorithms are used for the optimization of the gas turbine cycles. Based on thermodynamic consideration of a gas turbine plant, the pressure ratio is optimized with genetic algorithms for maximum efficiency or maximum net power density.

Item Type:	Monograph (Working Paper)
Subjects:	T Technology > TJ Mechanical engineering and machinery > TJ1 Mechanical engineering and machinery
ID Code:	8618
Deposited By:	ARKM Al Rashid Automasi
Deposited On:	24 Mar 2009 16:08
Last Modified:	24 Mar 2009 16:08

Repository Staff Only: item control page