2018
DOI: 10.1155/2018/3987594
|View full text |Cite
|
Sign up to set email alerts
|

Design Optimization of the Centrifugal Pumps via Low Fidelity Models

Abstract: Low fidelity model assisted design optimization of turbomachines has reduced the total computational and experimental costs. These models are called surrogate models which mimic the actual experiments or simulations. The surrogate models can generate thousands of approximate results from a few samples, making it easy to locate the optimal solution. Ample articles reported surrogate assisted design optimization of centrifugal pumps. In this article, the authors try to give a brief overview of the surrogate base… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
13
0

Year Published

2020
2020
2023
2023

Publication Types

Select...
9
1

Relationship

1
9

Authors

Journals

citations
Cited by 17 publications
(14 citation statements)
references
References 93 publications
(99 reference statements)
0
13
0
Order By: Relevance
“…The Kriging model is utilized to relate variables and objective functions. The combination of RSM and GAs in engineering optimization problems has provided promising results (Siddique et al, 2018;Suh et al, 2019;Wenjie Wang et al, 2017;.…”
Section: -6-multi-objective Optimizationmentioning
confidence: 99%
“…The Kriging model is utilized to relate variables and objective functions. The combination of RSM and GAs in engineering optimization problems has provided promising results (Siddique et al, 2018;Suh et al, 2019;Wenjie Wang et al, 2017;.…”
Section: -6-multi-objective Optimizationmentioning
confidence: 99%
“…BPNN has capability in arbitrary complex pattern classification and multi-dimensional function mapping [24]. Hence, we applied BPNN to establish the approximate functional relationship between the DVs and the optimization objectives to reduce the computational cost.…”
Section: Surrogate Modelmentioning
confidence: 99%
“…The performance of the pump gets affected by blade profile shape of the impeller, interaction of impeller, and casing geometry. [1][2][3][4][5] Manipulating the parameters of blade shape such as inlet blade angles, outlet blade angle, blade width and wrap angles improves the performance of the pump. An increase in number of the blades has both positive and negative effect.…”
Section: Introductionmentioning
confidence: 99%