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Finding optimum range for increasing the transport coefficients in a three‐way catalytic converter in order to achieve minimum light‐off time and maximum increase in efficiency using multiobjective genetic algorithm
Author(s) -
Hashemi Daryan Jafar,
Shamekhi Amir H.
Publication year - 2014
Publication title -
environmental progress and sustainable energy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.495
H-Index - 66
eISSN - 1944-7450
pISSN - 1944-7442
DOI - 10.1002/ep.11996
Subject(s) - range (aeronautics) , laminar flow , genetic algorithm , flow (mathematics) , mathematical optimization , channel (broadcasting) , algorithm , computer science , artificial neural network , control theory (sociology) , materials science , mechanics , mathematics , physics , computer network , control (management) , machine learning , artificial intelligence , composite material
In this article, an optimum range for increasing transport coefficients with respect to the laminar flow condition in the channel of a three‐way catalyst is introduced. A mathematical model of a three‐way catalyst was first developed. The model is a one‐dimensional plug flow model which involves mass and energy equations in gas and solid phases. To save numerical time, the three‐way catalyst model was replaced with a neural network model used in optimization which was solved by using a multi‐objective genetic algorithm method. The results of optimization introduce a range in which the desirable objectives will be satisfied. The objectives are to achieve minimum light‐off time and maximum increase in catalyst efficiency during different operating conditions of engine. © 2014 American Institute of Chemical Engineers Environ Prog, 34: 368–379, 2015