Two-stage optimization process.
<div><p>To enhance the aerodynamic performance of centrifugal impellers, this study presents an advanced optimization design methodology. This methodology addresses the challenges associated with numerous design variables, inflexible configurations, and low optimization efficiency. We pr...
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2024
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| _version_ | 1852025043032211456 |
|---|---|
| author | Yesong Wang (331723) |
| author2 | Zixuan Sun (3495020) Jisheng Liu (219678) Manxian Liu (20298265) Yong Zhou (23772) |
| author2_role | author author author author |
| author_facet | Yesong Wang (331723) Zixuan Sun (3495020) Jisheng Liu (219678) Manxian Liu (20298265) Yong Zhou (23772) |
| author_role | author |
| dc.creator.none.fl_str_mv | Yesong Wang (331723) Zixuan Sun (3495020) Jisheng Liu (219678) Manxian Liu (20298265) Yong Zhou (23772) |
| dc.date.none.fl_str_mv | 2024-11-20T18:38:14Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0310792.g010 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/figure/Two-stage_optimization_process_/27870679 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Biophysics Medicine Cell Biology Neuroscience Biotechnology Evolutionary Biology Computational Biology Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified rated operating conditions objective evolutionary algorithms normal operating conditions enhancing solution quality computational fluid dynamics centrifugal impeller based centrifugal compressor blades two parameterization approaches two optimization stages optimization results demonstrate numerous design variables local mapping model global mapping model low optimization efficiency blade geometry configuration optimization design local optimization blade geometry centrifugal impellers parameterization methods optimization space isentropic efficiency enable global xlink "> thoroughly explored surge margin study presents methodology addresses inflexible configurations form deformation control bodies challenges associated bezier surfaces bezier surface aerodynamic performance |
| dc.title.none.fl_str_mv | Two-stage optimization process. |
| dc.type.none.fl_str_mv | Image Figure info:eu-repo/semantics/publishedVersion image |
| description | <div><p>To enhance the aerodynamic performance of centrifugal impellers, this study presents an advanced optimization design methodology. This methodology addresses the challenges associated with numerous design variables, inflexible configurations, and low optimization efficiency. We propose two distinct spline function parameterization techniques: a global mapping model for Bezier surfaces and a local mapping model for Free-Form Deformation (FFD) control bodies. We investigate the impact of these parameterization methods on blade geometry configuration and aerodynamic performance. By integrating these two parameterization approaches with multi-objective evolutionary algorithms and Computational Fluid Dynamics (CFD) techniques, we enable global and local optimization of centrifugal compressor blades. The optimization results demonstrate a 1.77% enhancement in isentropic efficiency under rated operating conditions, a 7.8% increase in surge margin, a 1.6% improvement in isentropic efficiency under normal operating conditions, and an 11.8% enhancement in surge margin. Through two optimization stages, the optimization space for blade geometry is thoroughly explored, enhancing solution quality and contributing to the advancement of impeller mechanical optimization design theory.</p></div> |
| eu_rights_str_mv | openAccess |
| id | Manara_386f2541ffe68e378620e4e5157f6dfd |
| identifier_str_mv | 10.1371/journal.pone.0310792.g010 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/27870679 |
| publishDate | 2024 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Two-stage optimization process.Yesong Wang (331723)Zixuan Sun (3495020)Jisheng Liu (219678)Manxian Liu (20298265)Yong Zhou (23772)BiophysicsMedicineCell BiologyNeuroscienceBiotechnologyEvolutionary BiologyComputational BiologySpace ScienceBiological Sciences not elsewhere classifiedMathematical Sciences not elsewhere classifiedrated operating conditionsobjective evolutionary algorithmsnormal operating conditionsenhancing solution qualitycomputational fluid dynamicscentrifugal impeller basedcentrifugal compressor bladestwo parameterization approachestwo optimization stagesoptimization results demonstratenumerous design variableslocal mapping modelglobal mapping modellow optimization efficiencyblade geometry configurationoptimization designlocal optimizationblade geometrycentrifugal impellersparameterization methodsoptimization spaceisentropic efficiencyenable globalxlink ">thoroughly exploredsurge marginstudy presentsmethodology addressesinflexible configurationsform deformationcontrol bodieschallenges associatedbezier surfacesbezier surfaceaerodynamic performance<div><p>To enhance the aerodynamic performance of centrifugal impellers, this study presents an advanced optimization design methodology. This methodology addresses the challenges associated with numerous design variables, inflexible configurations, and low optimization efficiency. We propose two distinct spline function parameterization techniques: a global mapping model for Bezier surfaces and a local mapping model for Free-Form Deformation (FFD) control bodies. We investigate the impact of these parameterization methods on blade geometry configuration and aerodynamic performance. By integrating these two parameterization approaches with multi-objective evolutionary algorithms and Computational Fluid Dynamics (CFD) techniques, we enable global and local optimization of centrifugal compressor blades. The optimization results demonstrate a 1.77% enhancement in isentropic efficiency under rated operating conditions, a 7.8% increase in surge margin, a 1.6% improvement in isentropic efficiency under normal operating conditions, and an 11.8% enhancement in surge margin. Through two optimization stages, the optimization space for blade geometry is thoroughly explored, enhancing solution quality and contributing to the advancement of impeller mechanical optimization design theory.</p></div>2024-11-20T18:38:14ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.1371/journal.pone.0310792.g010https://figshare.com/articles/figure/Two-stage_optimization_process_/27870679CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/278706792024-11-20T18:38:14Z |
| spellingShingle | Two-stage optimization process. Yesong Wang (331723) Biophysics Medicine Cell Biology Neuroscience Biotechnology Evolutionary Biology Computational Biology Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified rated operating conditions objective evolutionary algorithms normal operating conditions enhancing solution quality computational fluid dynamics centrifugal impeller based centrifugal compressor blades two parameterization approaches two optimization stages optimization results demonstrate numerous design variables local mapping model global mapping model low optimization efficiency blade geometry configuration optimization design local optimization blade geometry centrifugal impellers parameterization methods optimization space isentropic efficiency enable global xlink "> thoroughly explored surge margin study presents methodology addresses inflexible configurations form deformation control bodies challenges associated bezier surfaces bezier surface aerodynamic performance |
| status_str | publishedVersion |
| title | Two-stage optimization process. |
| title_full | Two-stage optimization process. |
| title_fullStr | Two-stage optimization process. |
| title_full_unstemmed | Two-stage optimization process. |
| title_short | Two-stage optimization process. |
| title_sort | Two-stage optimization process. |
| topic | Biophysics Medicine Cell Biology Neuroscience Biotechnology Evolutionary Biology Computational Biology Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified rated operating conditions objective evolutionary algorithms normal operating conditions enhancing solution quality computational fluid dynamics centrifugal impeller based centrifugal compressor blades two parameterization approaches two optimization stages optimization results demonstrate numerous design variables local mapping model global mapping model low optimization efficiency blade geometry configuration optimization design local optimization blade geometry centrifugal impellers parameterization methods optimization space isentropic efficiency enable global xlink "> thoroughly explored surge margin study presents methodology addresses inflexible configurations form deformation control bodies challenges associated bezier surfaces bezier surface aerodynamic performance |