Genetic Algorithm Optimization of the Volute Shape of a Centrifugal Compressor
Joint Authors
Heinrich, Martin
Schwarze, Rüdiger
Source
International Journal of Rotating Machinery
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-04-20
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
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 m˙corr=0.19 kg/s.
American Psychological Association (APA)
Heinrich, Martin& Schwarze, Rüdiger. 2016. Genetic Algorithm Optimization of the Volute Shape of a Centrifugal Compressor. International Journal of Rotating Machinery،Vol. 2016, no. 2016, pp.1-13.
https://search.emarefa.net/detail/BIM-1107020
Modern Language Association (MLA)
Heinrich, Martin& Schwarze, Rüdiger. Genetic Algorithm Optimization of the Volute Shape of a Centrifugal Compressor. International Journal of Rotating Machinery No. 2016 (2016), pp.1-13.
https://search.emarefa.net/detail/BIM-1107020
American Medical Association (AMA)
Heinrich, Martin& Schwarze, Rüdiger. Genetic Algorithm Optimization of the Volute Shape of a Centrifugal Compressor. International Journal of Rotating Machinery. 2016. Vol. 2016, no. 2016, pp.1-13.
https://search.emarefa.net/detail/BIM-1107020
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1107020