Multi-Objective Shape Optimization on the Inlet Pipe of a Vertical Inline Pump DOI
Ji Pei, Xingcheng Gan, Wenjie Wang

et al.

Journal of Fluids Engineering, Journal Year: 2019, Volume and Issue: 141(6)

Published: March 5, 2019

Vertical inline pump is a single-stage single-suction centrifugal with bent pipe before the impeller, which usually used where installation space constraint. In this paper, three objective functions of efficiencies at 0.5 Qd, 1.0 and 1.5 multi-objective optimization on inlet vertical was proposed based genetic algorithm artificial neural network (ANN). order to describe shape pipe, fifth-order third-order Bezier curves were adopted fit mid curve trend parameters cross sections, respectively. Considering real computation complexity, 11 variables finally in optimization. Latin hypercube sampling (LHS) generate 149 sample cases, solved by CFD code ANSYS cfx 18.0. The calculation results design utilized train ANNs, these surrogate models for optimum using (MOGA). showed following: (1) There great agreement between numerical experimental results; (2) ANNs could accurately variables. maximum deviations predicted values computational values, 1.94%, 2.35%, 0.40%; (3) has influence efficiency part-load conditions while slight overload condition; (4) Three optimized cases selected increase Qd 4.96%, 2.45, 0.79%, respectively; (5) velocity distributions outflow more uniform than original one.

Language: Английский

A comprehensive survey on NSGA-II for multi-objective optimization and applications DOI
Haiping Ma, Yajing Zhang, Shengyi Sun

et al.

Artificial Intelligence Review, Journal Year: 2023, Volume and Issue: 56(12), P. 15217 - 15270

Published: June 17, 2023

Language: Английский

Citations

169

CFD Analysis and Optimum Design for a Centrifugal Pump Using an Effectively Artificial Intelligent Algorithm DOI Creative Commons
Chia–Nan Wang,

Fu-Chiang Yang,

Văn Thành Nguyễn

et al.

Micromachines, Journal Year: 2022, Volume and Issue: 13(8), P. 1208 - 1208

Published: July 29, 2022

In this study, we proposed a novel approach to improve centrifugal pump performance with regard the head, efficiency, and power. Firstly, establish constraints, an optimal numerical model that accounted for factors such as efficiency head was considered. The designed, artificial intelligence algorithmic applied before performing experiments. We considered set of models by selecting parameters casing section area, interference impeller, volute tongue length, angle. weights safety displacement on optimization indices were estimated. matrix process less than 38% or greater 62%. This guarantees complicated multi-objective problem. results show performances improved.

Language: Английский

Citations

94

A new metaheuristic for optimization: Optics inspired optimization (OIO) DOI
Ali Husseinzadeh Kashan

Computers & Operations Research, Journal Year: 2014, Volume and Issue: 55, P. 99 - 125

Published: Oct. 23, 2014

Language: Английский

Citations

179

Numerical shape optimization of a centrifugal pump impeller using artificial bee colony algorithm DOI
Shahram Derakhshan,

Maryam Pourmahdavi,

Ehsan Abdolahnejad

et al.

Computers & Fluids, Journal Year: 2013, Volume and Issue: 81, P. 145 - 151

Published: May 2, 2013

Language: Английский

Citations

127

Multi-objective optimization-based updating of predictions during excavation DOI

Yin-Fu Jin,

Zhen‐Yu Yin, Wan‐Huan Zhou

et al.

Engineering Applications of Artificial Intelligence, Journal Year: 2018, Volume and Issue: 78, P. 102 - 123

Published: Nov. 26, 2018

Language: Английский

Citations

91

SVM kernel based on particle swarm optimized vector and Bayesian optimized SVM in atmospheric particulate matter forecasting DOI
Georgios N. Kouziokas

Applied Soft Computing, Journal Year: 2020, Volume and Issue: 93, P. 106410 - 106410

Published: May 18, 2020

Language: Английский

Citations

86

Applications of artificial intelligence and computational intelligence in hydraulic optimization of centrifugal pumps: a comprehensive review DOI Creative Commons

Yuanhui Xu,

Xingcheng Gan, Ji Pei

et al.

Engineering Applications of Computational Fluid Mechanics, Journal Year: 2025, Volume and Issue: 19(1)

Published: March 10, 2025

Language: Английский

Citations

1

Multi-objective optimization of double suction centrifugal pump using Kriging metamodels DOI
Yu Zhang,

Sanbo Hu,

Jinglai Wu

et al.

Advances in Engineering Software, Journal Year: 2014, Volume and Issue: 74, P. 16 - 26

Published: May 10, 2014

Language: Английский

Citations

85

Multiparameter and multiobjective optimization design of centrifugal pump based on orthogonal method DOI
Yun Xu, Lei Tan,

Shuliang Cao

et al.

Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science, Journal Year: 2016, Volume and Issue: 231(14), P. 2569 - 2579

Published: March 22, 2016

Optimization design of centrifugal pumps involving multiple parameters and objectives is a complicated research topic. The orthogonal method introduced in the present study to find high efficiency low cost way optimization process pump. A table designation L 16 (4 5 ) established, which individuals impellers are generated with five parameters: blade wrap angle, angles at impeller inlet outlet, leading edge position, trailing lean varying four levels for each parameter. To realize multiobjective both pump cavitation performance, an integrated factor considering weight two introduced. On basis validated computational fluid dynamics (CFD) technique, range analysis gives influence order also determines value Finally, optimal obtained remarkable superiority on 3.09% rise performance 1.45 m promotion comparison original

Language: Английский

Citations

71

A new W-SVM kernel combining PSO-neural network transformed vector and Bayesian optimized SVM in GDP forecasting DOI
Georgios N. Kouziokas

Engineering Applications of Artificial Intelligence, Journal Year: 2020, Volume and Issue: 92, P. 103650 - 103650

Published: April 14, 2020

Language: Английский

Citations

57