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Genetic Algorithm Optimization of the Volute Shape of a Centrifugal Compressor


Affiliations
1 Institute of Mechanics and Fluid Dynamics, Technical University Bergakademie Freiberg, 09599 Freiberg, Germany
 

A numerical model for the genetic optimization of the volute of a centrifugal compressor for light commercial vehicles is presented. The volute cross-sectional shape is represented by cubic B-splines and its control points are used as design variables.The goal of the global optimization is to maximize the average compressor isentropic efficiency and total pressure ratio at design speed and four operating points. The numerical model consists of a density-based solver in combination with the SST k-ω turbulence model with rotation/curvature correction and the multiple reference frame approach.The initial validation shows a good agreement between the numerical model and test bench measurements. As a result of the optimization, the average total pressure rise and efficiency are increased by over 1.0% compared to the initial designs of the optimization, while the maximum efficiency rise is nearly 2.5% at mcorr = 0.19 kg/s.
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  • Genetic Algorithm Optimization of the Volute Shape of a Centrifugal Compressor

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Authors

Martin Heinrich
Institute of Mechanics and Fluid Dynamics, Technical University Bergakademie Freiberg, 09599 Freiberg, Germany
Rudiger Schwarze
Institute of Mechanics and Fluid Dynamics, Technical University Bergakademie Freiberg, 09599 Freiberg, Germany

Abstract


A numerical model for the genetic optimization of the volute of a centrifugal compressor for light commercial vehicles is presented. The volute cross-sectional shape is represented by cubic B-splines and its control points are used as design variables.The goal of the global optimization is to maximize the average compressor isentropic efficiency and total pressure ratio at design speed and four operating points. The numerical model consists of a density-based solver in combination with the SST k-ω turbulence model with rotation/curvature correction and the multiple reference frame approach.The initial validation shows a good agreement between the numerical model and test bench measurements. As a result of the optimization, the average total pressure rise and efficiency are increased by over 1.0% compared to the initial designs of the optimization, while the maximum efficiency rise is nearly 2.5% at mcorr = 0.19 kg/s.