Proceedings of the 2018 International Conference on Mathematics, Modelling, Simulation and Algorithms (MMSA 2018)

An Automated Hydraulic Optimization Approach for RCP Impeller Using MOGA

Authors
Xide Lai, Daoxing Ye, Xiang Zhang, Qiuqin Gou, Xiaoming Chen
Corresponding Author
Xide Lai
Available Online March 2018.
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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Volume Title
Proceedings of the 2018 International Conference on Mathematics, Modelling, Simulation and Algorithms (MMSA 2018)
Series
Advances in Intelligent Systems Research
Publication Date
March 2018
ISBN
10.2991/mmsa-18.2018.50
ISSN
1951-6851
DOI
10.2991/mmsa-18.2018.50How to use a DOI?
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/).

Cite this article

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  -