Prediction of convection from a finned cylinder in cross flow using direct simulation, turbulence modeling, and correlation-based methods
Direct numerical simulation (DNS), two shear-stress transport (SST) turbulence models, and three k- ε models are used to predict mixed convection associated with air in cross flow over an isothermal, finned cylinder. The DNS predictions reveal complex time-variation in the flow field. Convection hea...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Stark, John R [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2017 |
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| Rechteinformationen: |
Nutzungsrecht: © 2017 Taylor & Francis 2017 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Numerical heat transfer / A - Washington, DC : Taylor & Francis, 1989, 71(2017), 6, Seite 591 |
|---|---|
| Übergeordnetes Werk: |
volume:71 ; year:2017 ; number:6 ; pages:591 |
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| DOI / URN: |
10.1080/10407782.2016.1277929 |
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| 520 | |a Direct numerical simulation (DNS), two shear-stress transport (SST) turbulence models, and three k- ε models are used to predict mixed convection associated with air in cross flow over an isothermal, finned cylinder. The DNS predictions reveal complex time-variation in the flow field. Convection heat transfer coefficients predicted by the SST models are in good agreement with those generated by DNS, whereas the k- ε models do not accurately predict heat fluxes. Correlation-based predictions of heat transfer coefficients are, in general, in poor agreement with the DNS and SST predictions. The impact of various geometrical modifications on convection coefficients is also presented. | ||
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10.1080/10407782.2016.1277929 doi PQ20170721 (DE-627)OLC1992657092 (DE-599)GBVOLC1992657092 (PRQ)i1731-4cd3bbddcce0c501a6dc7e92671f3df2f086df0f3a5c3202a69b7f30a5776ec20 (KEY)0090205520170000071000600591predictionofconvectionfromafinnedcylinderincrossfl DE-627 ger DE-627 rakwb eng 620 530 DNB Stark, John R verfasserin aut Prediction of convection from a finned cylinder in cross flow using direct simulation, turbulence modeling, and correlation-based methods 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Direct numerical simulation (DNS), two shear-stress transport (SST) turbulence models, and three k- ε models are used to predict mixed convection associated with air in cross flow over an isothermal, finned cylinder. The DNS predictions reveal complex time-variation in the flow field. Convection heat transfer coefficients predicted by the SST models are in good agreement with those generated by DNS, whereas the k- ε models do not accurately predict heat fluxes. Correlation-based predictions of heat transfer coefficients are, in general, in poor agreement with the DNS and SST predictions. The impact of various geometrical modifications on convection coefficients is also presented. Nutzungsrecht: © 2017 Taylor & Francis 2017 Simulation Heat transfer Bergman, Theodore L oth Enthalten in Numerical heat transfer / A Washington, DC : Taylor & Francis, 1989 71(2017), 6, Seite 591 (DE-627)130798940 (DE-600)1007779-0 (DE-576)023042214 1040-7782 nnns volume:71 year:2017 number:6 pages:591 http://dx.doi.org/10.1080/10407782.2016.1277929 Volltext http://www.tandfonline.com/doi/abs/10.1080/10407782.2016.1277929 https://search.proquest.com/docview/1884887150 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-PHY GBV_ILN_70 AR 71 2017 6 591 |
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10.1080/10407782.2016.1277929 doi PQ20170721 (DE-627)OLC1992657092 (DE-599)GBVOLC1992657092 (PRQ)i1731-4cd3bbddcce0c501a6dc7e92671f3df2f086df0f3a5c3202a69b7f30a5776ec20 (KEY)0090205520170000071000600591predictionofconvectionfromafinnedcylinderincrossfl DE-627 ger DE-627 rakwb eng 620 530 DNB Stark, John R verfasserin aut Prediction of convection from a finned cylinder in cross flow using direct simulation, turbulence modeling, and correlation-based methods 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Direct numerical simulation (DNS), two shear-stress transport (SST) turbulence models, and three k- ε models are used to predict mixed convection associated with air in cross flow over an isothermal, finned cylinder. The DNS predictions reveal complex time-variation in the flow field. Convection heat transfer coefficients predicted by the SST models are in good agreement with those generated by DNS, whereas the k- ε models do not accurately predict heat fluxes. Correlation-based predictions of heat transfer coefficients are, in general, in poor agreement with the DNS and SST predictions. The impact of various geometrical modifications on convection coefficients is also presented. Nutzungsrecht: © 2017 Taylor & Francis 2017 Simulation Heat transfer Bergman, Theodore L oth Enthalten in Numerical heat transfer / A Washington, DC : Taylor & Francis, 1989 71(2017), 6, Seite 591 (DE-627)130798940 (DE-600)1007779-0 (DE-576)023042214 1040-7782 nnns volume:71 year:2017 number:6 pages:591 http://dx.doi.org/10.1080/10407782.2016.1277929 Volltext http://www.tandfonline.com/doi/abs/10.1080/10407782.2016.1277929 https://search.proquest.com/docview/1884887150 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-PHY GBV_ILN_70 AR 71 2017 6 591 |
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Prediction of convection from a finned cylinder in cross flow using direct simulation, turbulence modeling, and correlation-based methods |
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Direct numerical simulation (DNS), two shear-stress transport (SST) turbulence models, and three k- ε models are used to predict mixed convection associated with air in cross flow over an isothermal, finned cylinder. The DNS predictions reveal complex time-variation in the flow field. Convection heat transfer coefficients predicted by the SST models are in good agreement with those generated by DNS, whereas the k- ε models do not accurately predict heat fluxes. Correlation-based predictions of heat transfer coefficients are, in general, in poor agreement with the DNS and SST predictions. The impact of various geometrical modifications on convection coefficients is also presented. |
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Direct numerical simulation (DNS), two shear-stress transport (SST) turbulence models, and three k- ε models are used to predict mixed convection associated with air in cross flow over an isothermal, finned cylinder. The DNS predictions reveal complex time-variation in the flow field. Convection heat transfer coefficients predicted by the SST models are in good agreement with those generated by DNS, whereas the k- ε models do not accurately predict heat fluxes. Correlation-based predictions of heat transfer coefficients are, in general, in poor agreement with the DNS and SST predictions. The impact of various geometrical modifications on convection coefficients is also presented. |
| abstract_unstemmed |
Direct numerical simulation (DNS), two shear-stress transport (SST) turbulence models, and three k- ε models are used to predict mixed convection associated with air in cross flow over an isothermal, finned cylinder. The DNS predictions reveal complex time-variation in the flow field. Convection heat transfer coefficients predicted by the SST models are in good agreement with those generated by DNS, whereas the k- ε models do not accurately predict heat fluxes. Correlation-based predictions of heat transfer coefficients are, in general, in poor agreement with the DNS and SST predictions. The impact of various geometrical modifications on convection coefficients is also presented. |
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Prediction of convection from a finned cylinder in cross flow using direct simulation, turbulence modeling, and correlation-based methods |
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10.1080/10407782.2016.1277929 |
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