Optimization of Hydraulic Machinery Bladings by Multilevel CFD Techniques
<p>The numerical design optimization for complex hydraulic machinery bladings requires a high number of design parameters and the use of a precise CFD solver yielding high computational costs. To reduce the CPU time needed, a multilevel CFD method has been developed. First of all, the 3D blade...
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2005-01-01
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doaj-24e95acc532a407986db754f1a80d0822020-11-24T23:44:50ZengHindawi LimitedInternational Journal of Rotating Machinery1023-621X2005-01-0120052161167Optimization of Hydraulic Machinery Bladings by Multilevel CFD TechniquesThum SusanneSchilling Rudolf<p>The numerical design optimization for complex hydraulic machinery bladings requires a high number of design parameters and the use of a precise CFD solver yielding high computational costs. To reduce the CPU time needed, a multilevel CFD method has been developed. First of all, the 3D blade geometry is parametrized by means of a geometric design tool to reduce the number of design parameters. To keep geometric accuracy, a special B-spline modification technique has been developed. On the first optimization level, a quasi-3D Euler code (EQ3D) is applied. To guarantee a sufficiently accurate result, the code is calibrated by a Navier-Stokes recalculation of the initial design and can be recalibrated after a number of optimization steps by another Navier-Stokes computation. After having got a convergent solution, the optimization process is repeated on the second level using a full 3D Euler code yielding a more accurate flow prediction. Finally, a 3D Navier-Stokes code is applied on the third level to search for the optimum optimorum by means of a fine-tuning of the geometrical parameters. To show the potential of the developed optimization system, the runner blading of a water turbine having a specific speed <math alttext="$n_{q}=41$"><msub><mi>n</mi> <mi>q</mi> </msub> <mo>=</mo> <mn>41</mn> </math> <math alttext="un{1/min}"><mrow><mn>1</mn> <mo>/</mo> <mrow><mtext>min</mtext> </mrow> </mrow> </math> was optimized applying the multilevel approach.</p> http://www.hindawi.net/access/get.aspx?journal=ijrm&volume=2005&pii=S1023621X02505029 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Thum Susanne Schilling Rudolf |
spellingShingle |
Thum Susanne Schilling Rudolf Optimization of Hydraulic Machinery Bladings by Multilevel CFD Techniques International Journal of Rotating Machinery |
author_facet |
Thum Susanne Schilling Rudolf |
author_sort |
Thum Susanne |
title |
Optimization of Hydraulic Machinery Bladings by Multilevel CFD Techniques |
title_short |
Optimization of Hydraulic Machinery Bladings by Multilevel CFD Techniques |
title_full |
Optimization of Hydraulic Machinery Bladings by Multilevel CFD Techniques |
title_fullStr |
Optimization of Hydraulic Machinery Bladings by Multilevel CFD Techniques |
title_full_unstemmed |
Optimization of Hydraulic Machinery Bladings by Multilevel CFD Techniques |
title_sort |
optimization of hydraulic machinery bladings by multilevel cfd techniques |
publisher |
Hindawi Limited |
series |
International Journal of Rotating Machinery |
issn |
1023-621X |
publishDate |
2005-01-01 |
description |
<p>The numerical design optimization for complex hydraulic machinery bladings requires a high number of design parameters and the use of a precise CFD solver yielding high computational costs. To reduce the CPU time needed, a multilevel CFD method has been developed. First of all, the 3D blade geometry is parametrized by means of a geometric design tool to reduce the number of design parameters. To keep geometric accuracy, a special B-spline modification technique has been developed. On the first optimization level, a quasi-3D Euler code (EQ3D) is applied. To guarantee a sufficiently accurate result, the code is calibrated by a Navier-Stokes recalculation of the initial design and can be recalibrated after a number of optimization steps by another Navier-Stokes computation. After having got a convergent solution, the optimization process is repeated on the second level using a full 3D Euler code yielding a more accurate flow prediction. Finally, a 3D Navier-Stokes code is applied on the third level to search for the optimum optimorum by means of a fine-tuning of the geometrical parameters. To show the potential of the developed optimization system, the runner blading of a water turbine having a specific speed <math alttext="$n_{q}=41$"><msub><mi>n</mi> <mi>q</mi> </msub> <mo>=</mo> <mn>41</mn> </math> <math alttext="un{1/min}"><mrow><mn>1</mn> <mo>/</mo> <mrow><mtext>min</mtext> </mrow> </mrow> </math> was optimized applying the multilevel approach.</p> |
url |
http://www.hindawi.net/access/get.aspx?journal=ijrm&volume=2005&pii=S1023621X02505029 |
work_keys_str_mv |
AT thumsusanne optimizationofhydraulicmachinerybladingsbymultilevelcfdtechniques AT schillingrudolf optimizationofhydraulicmachinerybladingsbymultilevelcfdtechniques |
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1725498209915109376 |