Sensitivity analysis and optimization of a CO2 centrifugal compressor impeller with a vaneless diffuser
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1007/s00158-021-02914-2 http://hdl.handle.net/11449/209326 |
Resumo: | Fluid flow in centrifugal compressors is complex and turbulent, making it difficult to achieve a robust equipment design. In this work, a computational fluid dynamics (CFD) analysis is conducted on the periodical domain of a CO2 centrifugal compressor impeller and vaneless diffuser, with a 2.85:1 pressure ratio, using ANSYS CFX. The fluid flow is assumed to be steady state, turbulent, and three dimensional. Since polar angles are not considered in the traditional one-dimensional analysis, eight polar angles on hub and shroud were considered for modeling, sensitivity analysis, and optimization. After numerical verification and validation, a sequential sensitivity analysis (SA) was performed to identify non-influential variables. From the same design of experiment (DoE) used by the Morris qualitative SA, a response surface (RS) was trained to perform a quantitative SA by the smoothing spline ANOVA (SS-ANOVA) method. The Morris method was found to be more conservative than SS-ANOVA, keeping more variables as influent for the analysis. Both methods agreed on influential variables ranking. Low computational effort was required to submit the RS to a constrained optimization procedure using the NSGA-II method. The polytropic efficiency of the optimal centrifugal compressor configuration increased 0.7%, keeping the pressure ratio above 2.85, and the required power and outlet temperature below the base compressor. The impact of the polar angles at trailing edge on output variables is higher than leading edge. The optimal centrifugal compressor found is submitted to different mass flow rates and the overall performance for the optimal angles of the trailing edge and leading edge of the impeller was higher than the base compressor. The strategy adopted herein related to qualitative and quantitative sensitivity analysis coupled with response surface and the constrained optimization was shown to be robust, which can be applied to high-dimensional CFD models to reduce the computational cost with suitable results regarding fluid flow phenomena. |
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Sensitivity analysis and optimization of a CO2 centrifugal compressor impeller with a vaneless diffuserCO2 centrifugal compressorSequential sensitivity analysisResponse surfaceConstrained optimizationReduced computational costFluid flow in centrifugal compressors is complex and turbulent, making it difficult to achieve a robust equipment design. In this work, a computational fluid dynamics (CFD) analysis is conducted on the periodical domain of a CO2 centrifugal compressor impeller and vaneless diffuser, with a 2.85:1 pressure ratio, using ANSYS CFX. The fluid flow is assumed to be steady state, turbulent, and three dimensional. Since polar angles are not considered in the traditional one-dimensional analysis, eight polar angles on hub and shroud were considered for modeling, sensitivity analysis, and optimization. After numerical verification and validation, a sequential sensitivity analysis (SA) was performed to identify non-influential variables. From the same design of experiment (DoE) used by the Morris qualitative SA, a response surface (RS) was trained to perform a quantitative SA by the smoothing spline ANOVA (SS-ANOVA) method. The Morris method was found to be more conservative than SS-ANOVA, keeping more variables as influent for the analysis. Both methods agreed on influential variables ranking. Low computational effort was required to submit the RS to a constrained optimization procedure using the NSGA-II method. The polytropic efficiency of the optimal centrifugal compressor configuration increased 0.7%, keeping the pressure ratio above 2.85, and the required power and outlet temperature below the base compressor. The impact of the polar angles at trailing edge on output variables is higher than leading edge. The optimal centrifugal compressor found is submitted to different mass flow rates and the overall performance for the optimal angles of the trailing edge and leading edge of the impeller was higher than the base compressor. The strategy adopted herein related to qualitative and quantitative sensitivity analysis coupled with response surface and the constrained optimization was shown to be robust, which can be applied to high-dimensional CFD models to reduce the computational cost with suitable results regarding fluid flow phenomena.Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Sao Paulo State Univ, Ilha Solteira, SP, BrazilUniv Sao Paulo, Sch Engn, Sao Paulo, SP, BrazilCtr Univ FEI, Sao Bernardo Do Campo, SP, BrazilFed Univ ABC, Santo Andre, SP, BrazilSao Paulo State Univ, Ilha Solteira, SP, BrazilCNPq: 306364/2020-4SpringerUniversidade Estadual Paulista (Unesp)Universidade de São Paulo (USP)Ctr Univ FEIUniversidade Federal do ABC (UFABC)Salviano, Leandro Oliveira [UNESP]Gasparin, Eloy Esteves [UNESP]Mattos, Vitor Cesar N. [UNESP]Barbizan, Bruno [UNESP]Saltara, FabioMello, Paulo Eduardo Batista deDezan, Daniel JonasYanagihara, Jurandir Itizo2021-06-25T11:56:26Z2021-06-25T11:56:26Z2021-04-14info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article21http://dx.doi.org/10.1007/s00158-021-02914-2Structural And Multidisciplinary Optimization. New York: Springer, 21 p., 2021.1615-147Xhttp://hdl.handle.net/11449/20932610.1007/s00158-021-02914-2WOS:000639770900003Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengStructural And Multidisciplinary Optimizationinfo:eu-repo/semantics/openAccess2021-10-23T19:28:03Zoai:repositorio.unesp.br:11449/209326Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T14:59:14.193065Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Sensitivity analysis and optimization of a CO2 centrifugal compressor impeller with a vaneless diffuser |
title |
Sensitivity analysis and optimization of a CO2 centrifugal compressor impeller with a vaneless diffuser |
spellingShingle |
Sensitivity analysis and optimization of a CO2 centrifugal compressor impeller with a vaneless diffuser Salviano, Leandro Oliveira [UNESP] CO2 centrifugal compressor Sequential sensitivity analysis Response surface Constrained optimization Reduced computational cost |
title_short |
Sensitivity analysis and optimization of a CO2 centrifugal compressor impeller with a vaneless diffuser |
title_full |
Sensitivity analysis and optimization of a CO2 centrifugal compressor impeller with a vaneless diffuser |
title_fullStr |
Sensitivity analysis and optimization of a CO2 centrifugal compressor impeller with a vaneless diffuser |
title_full_unstemmed |
Sensitivity analysis and optimization of a CO2 centrifugal compressor impeller with a vaneless diffuser |
title_sort |
Sensitivity analysis and optimization of a CO2 centrifugal compressor impeller with a vaneless diffuser |
author |
Salviano, Leandro Oliveira [UNESP] |
author_facet |
Salviano, Leandro Oliveira [UNESP] Gasparin, Eloy Esteves [UNESP] Mattos, Vitor Cesar N. [UNESP] Barbizan, Bruno [UNESP] Saltara, Fabio Mello, Paulo Eduardo Batista de Dezan, Daniel Jonas Yanagihara, Jurandir Itizo |
author_role |
author |
author2 |
Gasparin, Eloy Esteves [UNESP] Mattos, Vitor Cesar N. [UNESP] Barbizan, Bruno [UNESP] Saltara, Fabio Mello, Paulo Eduardo Batista de Dezan, Daniel Jonas Yanagihara, Jurandir Itizo |
author2_role |
author author author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) Universidade de São Paulo (USP) Ctr Univ FEI Universidade Federal do ABC (UFABC) |
dc.contributor.author.fl_str_mv |
Salviano, Leandro Oliveira [UNESP] Gasparin, Eloy Esteves [UNESP] Mattos, Vitor Cesar N. [UNESP] Barbizan, Bruno [UNESP] Saltara, Fabio Mello, Paulo Eduardo Batista de Dezan, Daniel Jonas Yanagihara, Jurandir Itizo |
dc.subject.por.fl_str_mv |
CO2 centrifugal compressor Sequential sensitivity analysis Response surface Constrained optimization Reduced computational cost |
topic |
CO2 centrifugal compressor Sequential sensitivity analysis Response surface Constrained optimization Reduced computational cost |
description |
Fluid flow in centrifugal compressors is complex and turbulent, making it difficult to achieve a robust equipment design. In this work, a computational fluid dynamics (CFD) analysis is conducted on the periodical domain of a CO2 centrifugal compressor impeller and vaneless diffuser, with a 2.85:1 pressure ratio, using ANSYS CFX. The fluid flow is assumed to be steady state, turbulent, and three dimensional. Since polar angles are not considered in the traditional one-dimensional analysis, eight polar angles on hub and shroud were considered for modeling, sensitivity analysis, and optimization. After numerical verification and validation, a sequential sensitivity analysis (SA) was performed to identify non-influential variables. From the same design of experiment (DoE) used by the Morris qualitative SA, a response surface (RS) was trained to perform a quantitative SA by the smoothing spline ANOVA (SS-ANOVA) method. The Morris method was found to be more conservative than SS-ANOVA, keeping more variables as influent for the analysis. Both methods agreed on influential variables ranking. Low computational effort was required to submit the RS to a constrained optimization procedure using the NSGA-II method. The polytropic efficiency of the optimal centrifugal compressor configuration increased 0.7%, keeping the pressure ratio above 2.85, and the required power and outlet temperature below the base compressor. The impact of the polar angles at trailing edge on output variables is higher than leading edge. The optimal centrifugal compressor found is submitted to different mass flow rates and the overall performance for the optimal angles of the trailing edge and leading edge of the impeller was higher than the base compressor. The strategy adopted herein related to qualitative and quantitative sensitivity analysis coupled with response surface and the constrained optimization was shown to be robust, which can be applied to high-dimensional CFD models to reduce the computational cost with suitable results regarding fluid flow phenomena. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-06-25T11:56:26Z 2021-06-25T11:56:26Z 2021-04-14 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1007/s00158-021-02914-2 Structural And Multidisciplinary Optimization. New York: Springer, 21 p., 2021. 1615-147X http://hdl.handle.net/11449/209326 10.1007/s00158-021-02914-2 WOS:000639770900003 |
url |
http://dx.doi.org/10.1007/s00158-021-02914-2 http://hdl.handle.net/11449/209326 |
identifier_str_mv |
Structural And Multidisciplinary Optimization. New York: Springer, 21 p., 2021. 1615-147X 10.1007/s00158-021-02914-2 WOS:000639770900003 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Structural And Multidisciplinary Optimization |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
21 |
dc.publisher.none.fl_str_mv |
Springer |
publisher.none.fl_str_mv |
Springer |
dc.source.none.fl_str_mv |
Web of Science reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808128444245999616 |