Multiparameter optimization for the nonlinear performance improvement of centrifugal pumps using a multilayer neural network

Author:

Pei Ji,Wang Wenjie,Osman Majeed Koranteng,Gan Xingcheng

Publisher

Springer Science and Business Media LLC

Subject

Mechanical Engineering,Mechanics of Materials

Reference26 articles.

1. J. F. Gülich, Centrifugal Pumps, Berlin: Springer (2008).

2. M. Zangeneh, A. Goto and T. Takemura, Suppression of secondary flows in a mixed-flow pump impeller by application of 3d inverse design method: Part 1—design and numerical valition, ASME 1994 International Gas Turbine and Aeroengine Congress and Exposition, American Society of Mechanical Engineers (1994) V001T01A014-V001T01A014.

3. M. A. A. Chikh et al., Efficiency of bio-and socio-inspired optimization algorithms for axial turbomachinery design, Applied Soft Computing, 64 (2018) 282–306

4. N. Timnak and A. Jahangirian, Multi-point optimization of transonic airfoils using an enhanced genetic algorithm, Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, 232 (7) (2018) 1347–1360

5. A. Oyama, M. S. Liou and S. Obayashi, Transonic axial-flow blade optimization: Evolutionary algorithms/three-dimensional Navier-Stokes solver, Journal of Propulsion and Power, 20 (4) (2004) 612–619

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