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Coupling of inverse method and cuckoo search algorithm for multiobjective optimization design of an axial flow pump

Article dans une revue avec comité de lecture
Author
CHIKH, Mohamed Abdessamed Ait
BELAIDI, Idir
302807 Université M'Hamed Bougara Boumerdes [UMBB]
KHELLADI, Sofiane
134975 Laboratoire de Dynamique des Fluides [DynFluid]
HAMRANI, Abderrachid
BAKIR, Farid
134975 Laboratoire de Dynamique des Fluides [DynFluid]

URI
http://hdl.handle.net/10985/18118
DOI
10.1177/0957650919844112
Date
2019
Journal
Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy

Abstract

This work describes the application of a multiobjective cuckoo search method for turbomachinery design optimization of an axial pump. Maximization of the total efficiency and minimization of the required net positive suction head of the pump are the two objective functions considered for the optimization problem. The optimization process is carried out on a range of imposed volumetric flow rates, with taking into account at each discretized radius between the hub and tip of the rotor: the profile camber, rotor wall thickness, angular deviation, and the solidity, regarded as geometrical constraints and nominal flow rate as mechanical constraint. Two strategies are proposed in order to solve the problem. In the first one, three forms of mono-objective model with two variables, total efficiency and net positive suction head, are considered. In the second one, a multiobjective model with nondominated sorting scheme is adopted. A comparative evaluation of results obtained from the proposed approach with those of a reference machine and genetic algorithm allowed us to validate the present work.

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