Multi-objective shape optimization of helico-axial multiphase pump impeller based on NSGA-II and ANN

In order to improve the prototype’s performance of the helico-axial multiphase pump, a multi-objective optimal method for the pump impeller was developed by combining the artificial neural network (ANN) with non-dominated sorting genetic algorithm-II (NSGA-II). The main geometric parameters influenc...

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Bibliographic Details
Published in:	Energy conversion and management Vol. 52; no. 1; pp. 538 - 546
Main Authors:	Zhang, Jinya, Zhu, Hongwu, Yang, Chun, Li, Yan, Wei, Huan
Format:	Journal Article
Language:	English
Published:	Kidlington Elsevier Ltd 2011 Elsevier
Subjects:	algorithms Applied sciences Computer simulation Crude oil, natural gas and petroleum products Crude oil, natural gas, oil shales producing equipements and methods Energy Energy. Thermal use of fuels equipment performance Exact sciences and technology experimental design Fuels Genetic algorithm Learning theory Materials and auxiliary equipments used in energy engineering Mathematical analysis Mathematical models Multiphase Multiphase pump Neural network Neural networks Numerical simulation Oil extraction from wells. Pumping. Shale oil extraction. Well workover Optimization design prediction Prospecting and production of crude oil, natural gas, oil shales and tar sands Pump impellers Pumps Numerical simulation Multiphase pump Neural network Genetic algorithm Optimization design
ISSN:	0196-8904, 1879-2227
Online Access:	Get full text
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