A genetic algorithm applied to the design of blade profiles for centrifugal pump impellers

Wahba, W. A.; Tourlidakis, A.

doi:10.2514/6.2001-2582

Cited by 24 publications

(13 citation statements)

References 8 publications

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“…Hessner [14] suggested a value of 0.01% of the offspring to be mutated. Wahba [4] used a value of 0.01% as a mutation rate, in a similar case of optimizing centrifugal pump impeller. The mutation operator works as a fine tuner.…”

Section: (3) Operatorsmentioning

confidence: 99%

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Three Dimensional Multi-Objective Design Optimization of Centrifugal Compressor Impeller

Elnashar

Wahba

Abdelrahman

2007

International Conference on Aerospace Sciences and Aviation Tec

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A method for centrifugal compressor impeller's multi-objective design optimization was developed. The method was applied to a tested twelve radial bladed centrifugal compressor impeller, available in the open literature, as a test case characterized by three-dimensional viscous turbulent flow structure. The optimization target was to maximize the total-to-total adiabatic efficiency, and pressure ratio of the impeller at the design point, considering constant mass flow rate, rotational speed, and nearly constant torque. The aerodynamic analysis was performed using (CFX BladeGen) commercial software. This software solves the three-dimensional turbulent Navier-Stokes flow equations, with zero-equation turbulence model using finite volume method. The capabilities of the software were first validated by comparing the computed results with, an experimental data made by Mizuki [10, 11]. In this experimental work, yaw probes distributed along the impeller channel, were used to determine total and static pressures for hub and shroud. GAlib software was used to apply Genetic algorithm for handling of the optimization problem. The optimal impeller configuration, which corresponds to maximum efficiency, and maximum pressure ratio, keeping the same mass flow rate and rpm, was obtained with only 0.7% violation of the original torque value. A comparison between original and optimized impellers was made, which revealed the causes for efficiency and pressure ratio improvements.

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Section: (3) Operatorsmentioning

confidence: 99%

“…The stall limit was defined in that work, as the last point where the CFD solver can obtain convergence. Wahba [4], Used single-objective and multi-objective genetic algorithm coupled with a 2-D fluid flow solver for optimization of centrifugal impeller pump blades. That author used 16 geometric parameters to describe the blade shape.…”

Section: Introductionmentioning

confidence: 99%

Three Dimensional Multi-Objective Design Optimization of Centrifugal Compressor Impeller

Elnashar

Wahba

Abdelrahman

2007

International Conference on Aerospace Sciences and Aviation Tec

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“…Many parameters are considered in this regard. For example optimization techniques were implemented to optimize the blade profile [6], meridional profiles [7,8], blade sweep angle [9], the splitter [10], the vaneless diffuser [11] and there are many others.…”

Section: Introductionmentioning

confidence: 99%

Optimization of a Centrifugal Compressor Using the Design of Experiment Technique

Mojaddam

Pullen

2019

Applied Sciences

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Centrifugal compressor performance is affected by many parameters, optimization of which can lead to superior designs. Recognizing the most important parameters affecting performance helps to reduce the optimization process cost. Of the compressor components, the impeller plays the most important role in compressor performance, hence the design parameters affecting this component were considered. A turbocharger centrifugal compressor with vaneless diffuser was studied and the parameters investigated included meridional geometry, rotor blade angle distribution and start location of the main blades and splitters. The diffuser shape was captured as part of the meridional geometry. Applying a novel approach to the problem, full factorial analysis was used to investigate the most effective parameters. The Response Surface Method was then implemented to construct the surrogate models and to recognize the best points over a design space created as based on the Box-Behnken methodology. The results highlighted the factors that affected impeller performance the most. Using the Design of Experiment technique, the model which optimized both efficiency and pressure ratio simultaneously delivered a design with 3% and 11% improvement in each respectively in comparison to the initial impeller at the design point. Importantly, this was not at the expense of sacrificing range, of critical concern in compressor design.

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“…Ashimara studied the performance of pump impeller by inverse problem method and combining gradient optimal method with exploratory technique [12]. Wahabi W. et al used multi-objective genetic algorithm and the CFD for optimization of impeller's guide blade [13,14]. Lei Z. and Chunlin W. et al carried out optimization design on fire pump and centrifugal impeller blades based on the theory of experimental design and response surface approximate methods [15,16].…”

Section: Introductionmentioning

confidence: 99%

Parameters matching analysis of the stator and rotor for downhole asymmetric turbine generator

Zhang¹,

Lu²,

Li³

2016

J. vibroeng.

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Abstract. To improve the power generation efficiency, the parameters matching analysis method for the downhole generator with asymmetric turbine is established on basis of the experimental design theory, response surface methodology and orthogonal experimental design. Firstly, according to the theoretical analysis, the computational domain model is built by the three-dimensional modeling software. Based on the calculation results by Computational Fluid Dynamics (CFD), the blade parameters of stator and rotor which affect the objective function a lot are screened out by the single-factor experimental design. Then, to get the optimal design results, these parameters are analyzed and determined by the Box-Behnken design and response surface methodology. Once the approximation model of objective function is constructed, the interplay between these parameters is discussed in this paper. Furthermore, the secondary factors are analyzed to obtain the more reasonable matching by orthogonal experimental method. Finally, the experimental study is conducted on the optimal design point of the new asymmetric turbine. The results show that CFD simulations are in good accordance with the calculations based on response surface method. The relative error of experimental value is smaller compared with the predictive value, and the trends of performance curves are almost the same. What's more, the efficiency of new asymmetric turbine increases by 10 % after optimizing matching. It declares that the design method based on Box-Behnken and the orthogonal design experiments can be used in the matching analysis of asymmetric turbine's parameters. The research in this paper provides reliable guidance in turbine blade design and technological parameters optimizing.

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A genetic algorithm applied to the design of blade profiles for centrifugal pump impellers

Cited by 24 publications

References 8 publications

Three Dimensional Multi-Objective Design Optimization of Centrifugal Compressor Impeller

Three Dimensional Multi-Objective Design Optimization of Centrifugal Compressor Impeller

Optimization of a Centrifugal Compressor Using the Design of Experiment Technique

Parameters matching analysis of the stator and rotor for downhole asymmetric turbine generator

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