Free Publication

A Multi-Objective Automatic Optimization Strategy for Design of Waterjet Pumps

Written by Prof. Zangeneh, University College London, K. Daneskhah and B. DaCosta, Advanced Design Technology, Ltd.

What's inside?

A methodology is presented for designing waterjet pumps to meet multi-objective design criteria. The method combines a 3D inviscid inverse design method with multi-objective genetic algorithm to design pumps which meet various aerodynamic and geometrical requirements.

 

A Multi-Objective Automatic Optimization Strategy for Design of Waterjet Pumps Cover


The main design objectives are improving cavitation performance and reducing leading edge sweep. The optimization is performed subject to certain constraints on Euler head, throat area, thickness and meridional shape so that the resulting pump can meet both design and off-design conditions. The CFD results confirm the main outcomes of the optimization process.

In this publication, you will:

  1. Discover the complete methodology for multi-objective design of waterjet pumps in which the blade shape is parametrized in terms of blade loading parameters used as input in a 3D inverse design code.
  2. See how to perform 3D multi-objective optimization with only 6 design parameters.
  3. Understand how this approach can be used to rapidly and automatically explore a large part of the design space to create impeller or diffuser designs that meet contrasting requirements relating to efficiency, suction performance, manufacturing limitations, mechanical constraints or cost.
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