Publications Scientifiques

Permanent URI for this communityhttps://dspace.univ-boumerdes.dz/handle/123456789/10

Browse

Author: search.filters.author.Belaidi, IdirSubject: search.filters.subject.Axial flow pump design

Search Results

Now showing 1 - 2 of 2
  • No Thumbnail Available
    Item
    Coupling of inverse method and cuckoo search algorithm for multiobjective optimization design of an axial flow pump
    (SAGE Publications, 2019) Chikh, Mohamed Abdessamed Ait; Belaidi, Idir; Khelladi, Sofiane; Hamrani, Abderrachid; Bakir, Farid
    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
  • No Thumbnail Available
    Item
    Coupling of inverse method and cuckoo search algorithm for multiobjective optimization design of an axial flow pump
    (Sage journals, 2019) Abdessamad, Mohamed; Ait Chikh, Mohamed Abdessamad; Belaidi, Idir; Khelladi, Sofiane
    his 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