FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4307297626> ?p ?o ?g. }

• W4307297626 endingPage "104" @default.
• W4307297626 startingPage "96" @default.
• W4307297626 abstract "The Single Expansion Ramp Nozzle, which is called SERN, is commonly used in supersonic and hypersonic aircraft, taking into account the design of integrated aircraft/propulsion systems/nozzles. Under the conditions of low Mach number and low nozzle pressure ratio, the flow in this device became severely over-expanded, internal resistance was clearly enhanced, and the quality and performance of the flow deteriorated sharply. In general, the exact prediction of shock wave structure and its interaction with the boundary layer in operating conditions plays an important role in the design of the protective structures. To this end, this paper uses machine learning techniques to calibrate the constant coefficient of the k-ω SST turbulence model. Furthermore, recognizing the effective factors in the performance reduction of the SERNs in different working conditions can be very helpful in optimizing them. Therefore, the second aim of this work is to investigate the effects of the main working parameters on the behavior of the supersonic flow of a SERN. It was shown that using the calibrated k-ω SST turbulence model improved the accuracy of computations by 4.5% when compared to using the model with its default constant coefficients. After that, the effects of inlet temperature on the flow behavior in the SERN have been studied. The results showed that The shock position shifts by 0.33% away from the throat and 0.17% closer to the SERN center when the inlet flow temperature is raised from 250 to 325 K." @default.
• W4307297626 created "2022-10-31" @default.
• W4307297626 creator A5052203250 @default.
• W4307297626 date "2023-01-01" @default.
• W4307297626 modified "2023-10-17" @default.
• W4307297626 title "Calibration of the k-ω shear stress transport turbulence model for shock wave boundary layer interaction in a SERN using machine learning" @default.
• W4307297626 cites W1475918350 @default.
• W4307297626 cites W1684132502 @default.
• W4307297626 cites W1970928027 @default.
• W4307297626 cites W1999716961 @default.
• W4307297626 cites W2010306562 @default.
• W4307297626 cites W2039109272 @default.
• W4307297626 cites W2054362206 @default.
• W4307297626 cites W2057169907 @default.
• W4307297626 cites W2081729150 @default.
• W4307297626 cites W2090132718 @default.
• W4307297626 cites W2108744454 @default.
• W4307297626 cites W2154942739 @default.
• W4307297626 cites W2159472239 @default.
• W4307297626 cites W2166813553 @default.
• W4307297626 cites W2167596338 @default.
• W4307297626 cites W2404527942 @default.
• W4307297626 cites W2534240011 @default.
• W4307297626 cites W2573759567 @default.
• W4307297626 cites W2586270132 @default.
• W4307297626 cites W2685762758 @default.
• W4307297626 cites W2790718223 @default.
• W4307297626 cites W2915607671 @default.
• W4307297626 cites W2923986970 @default.
• W4307297626 cites W2946907300 @default.
• W4307297626 cites W2983338253 @default.
• W4307297626 cites W3000690402 @default.
• W4307297626 cites W3019263612 @default.
• W4307297626 cites W3022797625 @default.
• W4307297626 cites W3035670770 @default.
• W4307297626 cites W3039614475 @default.
• W4307297626 cites W3042956194 @default.
• W4307297626 cites W3048116659 @default.
• W4307297626 cites W3135893594 @default.
• W4307297626 cites W3176704662 @default.
• W4307297626 cites W3190407956 @default.
• W4307297626 cites W3193723740 @default.
• W4307297626 cites W3195096498 @default.
• W4307297626 cites W4200497264 @default.
• W4307297626 cites W4210253072 @default.
• W4307297626 cites W4226201513 @default.
• W4307297626 cites W4313330869 @default.
• W4307297626 cites W837404662 @default.
• W4307297626 doi "https://doi.org/10.1016/j.enganabound.2022.10.009" @default.
• W4307297626 hasPublicationYear "2023" @default.
• W4307297626 type Work @default.
• W4307297626 citedByCount "0" @default.
• W4307297626 crossrefType "journal-article" @default.
• W4307297626 hasAuthorship W4307297626A5052203250 @default.
• W4307297626 hasConcept C111603439 @default.
• W4307297626 hasConcept C121332964 @default.
• W4307297626 hasConcept C126322002 @default.
• W4307297626 hasConcept C127413603 @default.
• W4307297626 hasConcept C146978453 @default.
• W4307297626 hasConcept C165231844 @default.
• W4307297626 hasConcept C165838908 @default.
• W4307297626 hasConcept C192562407 @default.
• W4307297626 hasConcept C196558001 @default.
• W4307297626 hasConcept C205991772 @default.
• W4307297626 hasConcept C24890656 @default.
• W4307297626 hasConcept C2781300812 @default.
• W4307297626 hasConcept C56200935 @default.
• W4307297626 hasConcept C57879066 @default.
• W4307297626 hasConcept C62520636 @default.
• W4307297626 hasConcept C70477161 @default.
• W4307297626 hasConcept C71924100 @default.
• W4307297626 hasConcept C97355855 @default.
• W4307297626 hasConceptScore W4307297626C111603439 @default.
• W4307297626 hasConceptScore W4307297626C121332964 @default.
• W4307297626 hasConceptScore W4307297626C126322002 @default.
• W4307297626 hasConceptScore W4307297626C127413603 @default.
• W4307297626 hasConceptScore W4307297626C146978453 @default.
• W4307297626 hasConceptScore W4307297626C165231844 @default.
• W4307297626 hasConceptScore W4307297626C165838908 @default.
• W4307297626 hasConceptScore W4307297626C192562407 @default.
• W4307297626 hasConceptScore W4307297626C196558001 @default.
• W4307297626 hasConceptScore W4307297626C205991772 @default.
• W4307297626 hasConceptScore W4307297626C24890656 @default.
• W4307297626 hasConceptScore W4307297626C2781300812 @default.
• W4307297626 hasConceptScore W4307297626C56200935 @default.
• W4307297626 hasConceptScore W4307297626C57879066 @default.
• W4307297626 hasConceptScore W4307297626C62520636 @default.
• W4307297626 hasConceptScore W4307297626C70477161 @default.
• W4307297626 hasConceptScore W4307297626C71924100 @default.
• W4307297626 hasConceptScore W4307297626C97355855 @default.
• W4307297626 hasLocation W43072976261 @default.
• W4307297626 hasOpenAccess W4307297626 @default.
• W4307297626 hasPrimaryLocation W43072976261 @default.
• W4307297626 hasRelatedWork W1994782345 @default.
• W4307297626 hasRelatedWork W2052943539 @default.
• W4307297626 hasRelatedWork W2053153350 @default.
• W4307297626 hasRelatedWork W2145168168 @default.
• W4307297626 hasRelatedWork W2714781812 @default.

• next