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Optimization of nozzle: Convergence using ANSYS with RSM, MOGA


Article Information

Title: Optimization of nozzle: Convergence using ANSYS with RSM, MOGA

Authors: S. JerinWinne, M. Chandrasekaran

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2015

Volume: 10

Issue: 13

Language: English

Categories

Abstract

In this paper, a multi objective optimization based on Genetic Algorithm, Response Surface Method and Design of Experiments are adopted in order to calculate the optimal CFD model parameters, retaining the convergence. Objective functions to be optimized simultaneously in such a real world complex multi-objective optimization problem. These objective functions are either obtained from experiments or computed CFD approaches, unless a simple but effective meta-model is constructed over the response surface from the numerical or experimental. So that modeling and optimization of the parameters is investigated by using ANSYS. An ANSYS FLUENT software package is utilized to simulate the viscous gas flow-field in the nozzle; the Response Surface Methodology (RSM) applied for the reason of performing a multi-objective optimization.


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