An Automated Hydraulic Optimization Approach for RCP Impeller Using MOGA

DOI

10.2991/mmsa-18.2018.50How to use a DOI?

Keywords

optimization; RCP; impeller; MOGA

Abstract

This paper presents an automated hydraulic optimization approach for impeller of a reactor coolant pump (RCP) combining a blade geometric modeller and parametric generator with automatic CFD solution procedure and multi-objective genetic algorithm. The approach depends on the cooperation between a genetic algorithm, a database and user defined objective functions and constraints which comprises hydraulic performances, structural and geometric constraint functions. In order to demonstrate the performance of the presented approach A mixed-flow RCP impeller was optimized.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xide Lai
AU  - Daoxing Ye
AU  - Xiang Zhang
AU  - Qiuqin Gou
AU  - Xiaoming Chen
PY  - 2018/03
DA  - 2018/03
TI  - An Automated Hydraulic Optimization Approach for RCP Impeller Using MOGA
BT  - Proceedings of the 2018 International Conference on Mathematics, Modelling, Simulation and Algorithms (MMSA 2018)
PB  - Atlantis Press
SP  - 222
EP  - 225
SN  - 1951-6851
UR  - https://doi.org/10.2991/mmsa-18.2018.50
DO  - 10.2991/mmsa-18.2018.50
ID  - Lai2018/03
ER  -