Design optimization of valve timing at various engine speeds using Multi-Objective Genetic Algorithm (MOGA)

This paper aims to demonstrate the effectiveness of Multi- Objective Genetic Algorithm Optimization and its robust practical application on the automobile engine valve timing where the variation of performance parameters required for finest tuning to obtain the optimal engine performances. The...

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Main Authors:	Mohiuddin, A. K. M., Ashour, Ahmed Aly Ibrahim Shaaban, Yap, Haw Shin
Format:	Conference or Workshop Item
Language:	English
Published:	2008
Subjects:	TL1 Motor vehicles
Online Access:	http://irep.iium.edu.my/1511/ http://irep.iium.edu.my/1511/1/MS_2008.pdf

id	iium-1511
recordtype	eprints
spelling	iium-15112011-09-05T02:00:02Z http://irep.iium.edu.my/1511/ Design optimization of valve timing at various engine speeds using Multi-Objective Genetic Algorithm (MOGA) Mohiuddin, A. K. M. Ashour, Ahmed Aly Ibrahim Shaaban Yap, Haw Shin TL1 Motor vehicles This paper aims to demonstrate the effectiveness of Multi- Objective Genetic Algorithm Optimization and its robust practical application on the automobile engine valve timing where the variation of performance parameters required for finest tuning to obtain the optimal engine performances. The primary concern is to acquire the clear picture of the implementation of Multi-Objective Genetic Algorithm and the essential of variable valve timing effects on the engine performances in various engine speeds. Majority of the research works in this project were in CAE software environment and method to implement optimization to 1D engine simulation. The paper conducts design optimization of CAMPRO 1.6L (S4PH) engine valve timing at various engine speeds using multi-objective genetic algorithm (MOGA) for the future variable valve timing (VVT) system research and development. This paper involves engine modeling in 1D software simulation environment, GT-Power. GT-Power is one of the CAE tools available in GT-SUITE offers the only true "virtual engine/power train" tool, capable of integrated simulations of the total engine and power train system. The GT-Power model is run simultaneously with mode Frontier to perform multi-objective optimization. Multi-objective Genetic Algorithms (MOGA) are an extension of Genetic Algorithms (GA) that does not require multiple objectives to be aggregated to one value. Instead of static aggregate such as a weighted sum, MOGA dynamically determine an aggregate of multiple objective values of a solution based on its relative quality in the current population, typically as the degree to which the solution dominates others in the current population. By using the MOGA optimization approach in mode Frontier, multi-objective optimization could be done by coupling with several software environment; this does not require any modification of the original model. Thus, it is able to provide professional, reliable and accurate solution. In preprocessing of optimization, modeFrontier Response Surface Method (RSM) is able to model the behavior of engine performances corresponding to the change of design variables. 2008-05 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/1511/1/MS_2008.pdf Mohiuddin, A. K. M. and Ashour, Ahmed Aly Ibrahim Shaaban and Yap, Haw Shin (2008) Design optimization of valve timing at various engine speeds using Multi-Objective Genetic Algorithm (MOGA). In: 19th IASTED International Conference Modelling and Simulation, 26 - 28 May, 2008, Quebec City, Quebec, Canada.
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	TL1 Motor vehicles
spellingShingle	TL1 Motor vehicles Mohiuddin, A. K. M. Ashour, Ahmed Aly Ibrahim Shaaban Yap, Haw Shin Design optimization of valve timing at various engine speeds using Multi-Objective Genetic Algorithm (MOGA)
description	This paper aims to demonstrate the effectiveness of Multi- Objective Genetic Algorithm Optimization and its robust practical application on the automobile engine valve timing where the variation of performance parameters required for finest tuning to obtain the optimal engine performances. The primary concern is to acquire the clear picture of the implementation of Multi-Objective Genetic Algorithm and the essential of variable valve timing effects on the engine performances in various engine speeds. Majority of the research works in this project were in CAE software environment and method to implement optimization to 1D engine simulation. The paper conducts design optimization of CAMPRO 1.6L (S4PH) engine valve timing at various engine speeds using multi-objective genetic algorithm (MOGA) for the future variable valve timing (VVT) system research and development. This paper involves engine modeling in 1D software simulation environment, GT-Power. GT-Power is one of the CAE tools available in GT-SUITE offers the only true "virtual engine/power train" tool, capable of integrated simulations of the total engine and power train system. The GT-Power model is run simultaneously with mode Frontier to perform multi-objective optimization. Multi-objective Genetic Algorithms (MOGA) are an extension of Genetic Algorithms (GA) that does not require multiple objectives to be aggregated to one value. Instead of static aggregate such as a weighted sum, MOGA dynamically determine an aggregate of multiple objective values of a solution based on its relative quality in the current population, typically as the degree to which the solution dominates others in the current population. By using the MOGA optimization approach in mode Frontier, multi-objective optimization could be done by coupling with several software environment; this does not require any modification of the original model. Thus, it is able to provide professional, reliable and accurate solution. In preprocessing of optimization, modeFrontier Response Surface Method (RSM) is able to model the behavior of engine performances corresponding to the change of design variables.
format	Conference or Workshop Item
author	Mohiuddin, A. K. M. Ashour, Ahmed Aly Ibrahim Shaaban Yap, Haw Shin
author_facet	Mohiuddin, A. K. M. Ashour, Ahmed Aly Ibrahim Shaaban Yap, Haw Shin
author_sort	Mohiuddin, A. K. M.
title	Design optimization of valve timing at various engine speeds using Multi-Objective Genetic Algorithm (MOGA)
title_short	Design optimization of valve timing at various engine speeds using Multi-Objective Genetic Algorithm (MOGA)
title_full	Design optimization of valve timing at various engine speeds using Multi-Objective Genetic Algorithm (MOGA)
title_fullStr	Design optimization of valve timing at various engine speeds using Multi-Objective Genetic Algorithm (MOGA)
title_full_unstemmed	Design optimization of valve timing at various engine speeds using Multi-Objective Genetic Algorithm (MOGA)
title_sort	design optimization of valve timing at various engine speeds using multi-objective genetic algorithm (moga)
publishDate	2008
url	http://irep.iium.edu.my/1511/ http://irep.iium.edu.my/1511/1/MS_2008.pdf
first_indexed	2023-09-18T20:08:52Z
last_indexed	2023-09-18T20:08:52Z
_version_	1777407342815477760

Design optimization of valve timing at various engine speeds using Multi-Objective Genetic Algorithm (MOGA)

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