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Bura Sreenivas
Jan Skrinsky



Authors and WSEAS

Bura Sreenivas
Jan Skrinsky


WSEAS Transactions on Fluid Mechanics


Print ISSN: 1790-5087
E-ISSN: 2224-347X

Volume 12, 2017

Notice: As of 2014 and for the forthcoming years, the publication frequency/periodicity of WSEAS Journals is adapted to the 'continuously updated' model. What this means is that instead of being separated into issues, new papers will be added on a continuous basis, allowing a more regular flow and shorter publication times. The papers will appear in reverse order, therefore the most recent one will be on top.


Volume 12, 2017



Optimization of Fluid Flow Distribution for a Skewed Flow Pattern in a Manifold

AUTHORS: Bura Sreenivas, Jan Skrinsky

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ABSTRACT: Fluid flow optimization of an 8-parameter flow manifold for skewed flow distribution is dealt in this paper. We deal with a one-by-four manifold. We have to optimally locate the guide plates. The objective of the work is to minimize the standard deviation of the actual flow rates from the set points by controlling 8 parameters four of which are lengths and four of which are angles of deflection. The set points are flows in ratios of 40:30:20:10. We take the input as the 60 data points generated by the process of CFD. Using the combination of ordinary least squares and genetic algorithms we develop the minimization algorithm for the objective function. We have successfully evaluated the objective and 8 parameters for skewed flow distribution. Since we needed to achieve skewed distribution, the guide vanes were found to have greater role in offering resistances in flow apportionment as compared to the case of equal flow distribution, thus serving as high value resistors in the manifold circuit

KEYWORDS: Genetic algorithms, Least squares, Manifold, Skewed flow distribution

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WSEAS Transactions on Fluid Mechanics, ISSN / E-ISSN: 1790-5087 / 2224-347X, Volume 12, 2017, Art. #13, pp. 108-115


Copyright © 2017 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution License 4.0

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