For Libraries For Publication Open Access Downloads About Us Contact Us
Paper Titles
Research on Non-Meshing Force Gear Pump
p.2022
Data Fusion of Radar Image and ECDIS Based on Matching of Harris Feature Points
p.2026
The Development and Performance Analysis of a Tri-Proportion Controller
p.2030
Research on Effects of Geomagnetic Induced Currents to Power Systems
p.2037
Optimization of Advanced Cycle Gas Turbine Intercooler Structure Based on Genetic Algorithm
p.2041
Study of the Effect of Liquid on Mixing Process for Size-Type Binary Particulate Systems by DEM Simulation
p.2047
Electronic Structures and Thermoelectric Properties of NaCo2O4 Thermoelectric Material
p.2051
Effects of High-Energy Carbon Ion Irradiation on Isatis Indigotica Fort
p.2056
An Introductory and Analysis of the Stationary Blade Rotary Compressor
p.2063

Optimization of Advanced Cycle Gas Turbine Intercooler Structure Based on Genetic Algorithm

Article Preview

Abstract:

As an important component of intercooled cycle gas turbine, intercooler directly affects the ratio power, thermal efficiency and various situation quality of gas turbine system. In this paper, efficiency-heat transfer units were used for the design of intercooler, and the structure parameters were optimized by genetic algorithm. The optimization results show that under the condition of required heat load and allowable pressure drop, the heat exchanger can be guaranteed as the smaller weight and the larger heat transfer efficiency, which can offer reference for the design of the actual intercooler.

You might also be interested in these eBooks
Equipment Manufacturing Technology and Automation View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 317-319)

Pages:

2041-2046

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.317-319.2041

Citation:

Cite this paper

Online since:

August 2011

Authors:

Zhi Tao Wang, Shu Ying Li, Ping Ping Luo

Keywords:

Gas Turbine, Genetic Algorithm (GA), Intercooler, Optimization of Structure

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

© 2011 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

References

[1] S. B. Shepard, T. L. Bowen, J. M. Chiprich: ASME Vol.7(1995)

Google Scholar

[2] Lei Xu，Tomas Grönstedt．:JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER．( 2009)

Google Scholar

[3] A.M. Bassily:Energy Elsevier Vol.1(2003)

Google Scholar

[4] H．Canie`re，A．Willockx，E．Dick，M．De Paepe: Thermal Engineering．Vol.2(2006)

Google Scholar

[5] R. Bhargava , M. Bianchi, A. Peretto, P. R. Spina: Engineering for Gas Turbines and Power ASME (2004 )

Google Scholar

[6] Zhuo Li, Huibing Zhang, Xueyou Wen, Dongming Xiao:Journal of Engineering for Thermal Energy and Power.Vol.23(2008) (In Chinese)

Google Scholar

[7] Andrew Chipperfield，Peter Fleming．Multi-objective Gas Turbine Engine Controller Design Using Genetic Algorithms．IEEE，(1996)

Google Scholar

[8] Giovanni TORELLA．Genetic Algorithms for the Optimization of Gas Turbine Cyelses．AIAA98-3118

Google Scholar

[9] Giovnnai TORELLA，Luciano Blasi．The Optimization of Gas Turbine Engine Design by Genetic Algorithms．AIAA 2000-3710

Google Scholar

© 2025 Trans Tech Publications Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For open access content, terms of the Creative Commons licensing CC-BY are applied.
Scientific.Net is a registered trademark of Trans Tech Publications Ltd.