Sensitivity analysis and optimization of a CO2 centrifugal compressor impeller with a vaneless diffuser

Detalhes bibliográficos
Autor(a) principal: Salviano, Leandro Oliveira [UNESP]
Data de Publicação: 2021
Outros Autores: 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
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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spelling 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
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