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Turbulence model comparisons for a low pressure 1.5 stage test turbine

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dc.contributor.author Dunn, Dwain I
dc.contributor.author Snedden, Glen C
dc.contributor.author Von Backström, TW
dc.date.accessioned 2010-11-08T10:48:42Z
dc.date.available 2010-11-08T10:48:42Z
dc.date.issued 2009-09
dc.identifier.citation Dunn, D, Snedden, GC and Von Backström, TW. 2009. Turbulence model comparisons for a low pressure 1.5 stage test turbine. 19th Conference of the International Society for Air Breathing Engines, Montreal, Quebec, Canada, 7-11 September 2009, pp 7 en
dc.identifier.isbn 978-1-60086-736-1
dc.identifier.uri http://hdl.handle.net/10204/4538
dc.description 19th Conference of the International Society for Air Breathing Engines, Montreal, Quebec, Canada, 7-11 September 2009 en
dc.description.abstract In a gas turbine engine secondary flows have a detrimental effect on efficiency. The current numerical study is aimed at determining which turbulence model in a commercially available CFD code is best suited to predicting the secondary flows. Experimental validation is used to determine the appropriateness of the model. The numerical study was performed using Numeca’s FINETM/Turbo and all of the appropriate turbulence models were tested. It was found that the Baldwin- Lomax, Spalart-Allmaras and k-e predicted the magnitude of the velocity well, but did not capture the velocity magnitude profile well. The k-w and the SST k-w captured the profile better, but did not predict the average value as well as the other models tested. It is for this reason that the SST k-w turbulence model was chosen as the most suitable for analysis of secondary flows, as the flow features are more accurately predicted, thus aiding in understanding secondary flow. en
dc.language.iso en en
dc.relation.ispartofseries Conference Paper en
dc.subject Turbulence modelling en
dc.subject Gas turbine cooling en
dc.subject Air breathing engines en
dc.title Turbulence model comparisons for a low pressure 1.5 stage test turbine en
dc.type Conference Presentation en
dc.identifier.apacitation Dunn, D. I., Snedden, G. C., & Von Backström, T. (2009). Turbulence model comparisons for a low pressure 1.5 stage test turbine. http://hdl.handle.net/10204/4538 en_ZA
dc.identifier.chicagocitation Dunn, Dwain I, Glen C Snedden, and TW Von Backström. "Turbulence model comparisons for a low pressure 1.5 stage test turbine." (2009): http://hdl.handle.net/10204/4538 en_ZA
dc.identifier.vancouvercitation Dunn DI, Snedden GC, Von Backström T, Turbulence model comparisons for a low pressure 1.5 stage test turbine; 2009. http://hdl.handle.net/10204/4538 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Dunn, Dwain I AU - Snedden, Glen C AU - Von Backström, TW AB - In a gas turbine engine secondary flows have a detrimental effect on efficiency. The current numerical study is aimed at determining which turbulence model in a commercially available CFD code is best suited to predicting the secondary flows. Experimental validation is used to determine the appropriateness of the model. The numerical study was performed using Numeca’s FINETM/Turbo and all of the appropriate turbulence models were tested. It was found that the Baldwin- Lomax, Spalart-Allmaras and k-e predicted the magnitude of the velocity well, but did not capture the velocity magnitude profile well. The k-w and the SST k-w captured the profile better, but did not predict the average value as well as the other models tested. It is for this reason that the SST k-w turbulence model was chosen as the most suitable for analysis of secondary flows, as the flow features are more accurately predicted, thus aiding in understanding secondary flow. DA - 2009-09 DB - ResearchSpace DP - CSIR KW - Turbulence modelling KW - Gas turbine cooling KW - Air breathing engines LK - https://researchspace.csir.co.za PY - 2009 SM - 978-1-60086-736-1 T1 - Turbulence model comparisons for a low pressure 1.5 stage test turbine TI - Turbulence model comparisons for a low pressure 1.5 stage test turbine UR - http://hdl.handle.net/10204/4538 ER - en_ZA


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