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Genetic algorithm for the design improvement of Turbocharger

Malaysian Technical Universities Conference on Engineering and Technology organized by Universiti Malaysia Pahang in collaboration with Universiti Tun Hussein Onn Malaysia, Universiti Teknikal Malaysia Melaka & Universiti Malaysia Perlis on June 20th - 22nd, 2009, at MS Garden Hotel, Kuantan, P...

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Main Authors: Taufik, Tajul Ariffin, Abdullah
Format: Working Paper
Language:English
Published: Universiti Malaysia Pahang 2010
Subjects:
Design parameters
Geometrical
Genetic algorithm
Optimization
Turbocharger
Malaysian Technical Universities Conference on Engineering and Technology (MUCEET)
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/8756
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spelling my.unimap-87562016-06-12T14:26:29Z Genetic algorithm for the design improvement of Turbocharger Taufik Tajul Ariffin, Abdullah Design parameters Geometrical Genetic algorithm Optimization Turbocharger Malaysian Technical Universities Conference on Engineering and Technology (MUCEET) Malaysian Technical Universities Conference on Engineering and Technology organized by Universiti Malaysia Pahang in collaboration with Universiti Tun Hussein Onn Malaysia, Universiti Teknikal Malaysia Melaka & Universiti Malaysia Perlis on June 20th - 22nd, 2009, at MS Garden Hotel, Kuantan, Pahang, Malaysia. These paper presents the investigation into the use of Genetic Algorithm (GA) for the design improvement of Turbocharger. Detailed description of the complete design process is described and numerous GA generation of the design optimization are presented with detailed examination of the several factors affecting the turbocharging system. In addition, variations of important geometrical design parameters are discussed in accordance to the GA results. The capabilities of the three-dimensional turbocharger design through GA are demonstrated by the fact that two different turbocharger systems were designed based on strict design constraint affecting their basic dimensions. As the results, the mathematical model has a very good agreement with the experimental data and it could be used for improving the design of turbine-compressor assembly through the bottom geometry changes of the compressor. 2010-08-17T08:41:22Z 2010-08-17T08:41:22Z 2009-06-20 Working Paper p.1-4 http://hdl.handle.net/123456789/8756 en Proceedings of the Malaysian Technical Universities Conference on Engineering and Technology (MUCEET) 2009 Universiti Malaysia Pahang
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Design parameters
Geometrical
Genetic algorithm
Optimization
Turbocharger
Malaysian Technical Universities Conference on Engineering and Technology (MUCEET)
spellingShingle Design parameters
Geometrical
Genetic algorithm
Optimization
Turbocharger
Malaysian Technical Universities Conference on Engineering and Technology (MUCEET)
Taufik
Tajul Ariffin, Abdullah
Genetic algorithm for the design improvement of Turbocharger
description Malaysian Technical Universities Conference on Engineering and Technology organized by Universiti Malaysia Pahang in collaboration with Universiti Tun Hussein Onn Malaysia, Universiti Teknikal Malaysia Melaka & Universiti Malaysia Perlis on June 20th - 22nd, 2009, at MS Garden Hotel, Kuantan, Pahang, Malaysia.
format Working Paper
author Taufik
Tajul Ariffin, Abdullah
author_facet Taufik
Tajul Ariffin, Abdullah
author_sort Taufik
title Genetic algorithm for the design improvement of Turbocharger
title_short Genetic algorithm for the design improvement of Turbocharger
title_full Genetic algorithm for the design improvement of Turbocharger
title_fullStr Genetic algorithm for the design improvement of Turbocharger
title_full_unstemmed Genetic algorithm for the design improvement of Turbocharger
title_sort genetic algorithm for the design improvement of turbocharger
publisher Universiti Malaysia Pahang
publishDate 2010
url http://dspace.unimap.edu.my/xmlui/handle/123456789/8756
_version_ 1643789313008205824
score 13.222552

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