American Journal of Mechanical Engineering
ISSN (Print): 2328-4102 ISSN (Online): 2328-4110 Website: http://www.sciepub.com/journal/ajme Editor-in-chief: Kambiz Ebrahimi, Dr. SRINIVASA VENKATESHAPPA CHIKKOL
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American Journal of Mechanical Engineering. 2013, 1(5), 119-125
DOI: 10.12691/ajme-1-5-3
Open AccessArticle

Alternative Equations to Compute the Network and the Thermal Efficiency of the Irreversible Diesel Cycle Using Genetic Algorithm

Seyed Mahmood Mousavi1, , Javad Abolfazli Esfahani1 and Masoud Yazdi Mamaghani2

1Mechanical Engineering Department, Ferdowsi University of Mashhad, Mashhad, Iran

2Department of Chemical Engineering, Bushehr Branch, Islamic Azad University, Bushehr, Iran

Pub. Date: July 30, 2013

Cite this paper:
Seyed Mahmood Mousavi, Javad Abolfazli Esfahani and Masoud Yazdi Mamaghani. Alternative Equations to Compute the Network and the Thermal Efficiency of the Irreversible Diesel Cycle Using Genetic Algorithm. American Journal of Mechanical Engineering. 2013; 1(5):119-125. doi: 10.12691/ajme-1-5-3

Abstract

In the current study, the effect of specific heat ratio, compression ratio, and the maximum to minimum temperature ratio of cycle on the thermal efficiency and the Network of irreversible Diesel cycle have been investigated. For this purpose, numerical solution and multi-objective genetic algorithms with a Pareto optimization method are used to determine the optimum values of specific heat ratio, compression ratio, and the maximum to minimum temperature ratio of cycle. The optimized values of the objective functions (namely Network and thermal efficiency) are then determined by using these vales. The numerical solution shows that the maximum Network and thermal efficiency is obtained simultaneously when the values of specific heat ratio, compression ratio, and the maximum to minimum temperature ratio of cycle are 1.3, 17.7, and 6.0, respectively, and these parameters are obtained by multi-objective genetic algorithms with a Pareto optimization method as 1.3, 17.57, and 6.0. The results obtained from current work are presented in the form of optimal equations for Network thermal efficiency in term of compression efficiency, expansion efficiency and compression ratio of the cycle. The results of current research work can provide a significant insight for optimal design of internal combustion engines including irreversibility.

Keywords:
irreversible diesel cycle net work thermal efficiency multi-objective genetic algorithms Pareto method

Creative CommonsThis work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

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