Matches in SemOpenAlex for { <https://semopenalex.org/work/W2965828412> ?p ?o ?g. }
- W2965828412 endingPage "108457" @default.
- W2965828412 startingPage "108457" @default.
- W2965828412 abstract "Abstract Erosion and fouling caused by ingested particles causes performance degradation and safety issues in turbomachinery components. Simulating these processes is a complex multiphysics and multiscale problem which has not reached a satisfactory level of maturity yet. The current state of the art approach is based on RANS solutions, which provide an averaged carrier phase on which the particles are advanced in an a posteriori manner. Upon wall impact, the particle quantities are then fed to the erosion and rebound models. In this work, we present as an alternative to this approach an Eulerian/Lagrangian simulation framework of high-order accuracy in space and time for the time-resolved prediction of particle motion in complex flows. We apply it to the LES of a particle-laden flow over a T106C low pressure turbine linear cascade. We then contrast time-averaged and time-accurate flow fields as carrier phases for the particles and highlight how the associated modeling assumptions influence the solution. Based on the particle Stokes number, we identify characteristic regimes and their interaction with the flow phase. By a detailed comparison of the particle statistics, we highlight the effects of turbulent small scale behavior and define the modeling challenges associated with finding accurate particle closure models for time-averaged simulations. This framework constitutes a first step towards high-fidelity erosion prediction for turbomachinery applications." @default.
- W2965828412 created "2019-08-13" @default.
- W2965828412 creator A5005405861 @default.
- W2965828412 creator A5008922388 @default.
- W2965828412 creator A5025366675 @default.
- W2965828412 creator A5029279895 @default.
- W2965828412 creator A5057268348 @default.
- W2965828412 creator A5084826650 @default.
- W2965828412 date "2019-10-01" @default.
- W2965828412 modified "2023-10-18" @default.
- W2965828412 title "Towards high-fidelity erosion prediction: On time-accurate particle tracking in turbomachinery" @default.
- W2965828412 cites W1137905043 @default.
- W2965828412 cites W1763082526 @default.
- W2965828412 cites W1915155326 @default.
- W2965828412 cites W1964937505 @default.
- W2965828412 cites W1967398204 @default.
- W2965828412 cites W1972654854 @default.
- W2965828412 cites W1974097079 @default.
- W2965828412 cites W1980077320 @default.
- W2965828412 cites W1984498248 @default.
- W2965828412 cites W1986571778 @default.
- W2965828412 cites W1995852868 @default.
- W2965828412 cites W1998602489 @default.
- W2965828412 cites W2006733145 @default.
- W2965828412 cites W2008602228 @default.
- W2965828412 cites W2012627035 @default.
- W2965828412 cites W2014277763 @default.
- W2965828412 cites W2015614829 @default.
- W2965828412 cites W2017662667 @default.
- W2965828412 cites W2020266566 @default.
- W2965828412 cites W2021716679 @default.
- W2965828412 cites W2032038585 @default.
- W2965828412 cites W2037317263 @default.
- W2965828412 cites W2039022918 @default.
- W2965828412 cites W2043492001 @default.
- W2965828412 cites W2050195021 @default.
- W2965828412 cites W2050569937 @default.
- W2965828412 cites W2053617231 @default.
- W2965828412 cites W2065317310 @default.
- W2965828412 cites W2072550877 @default.
- W2965828412 cites W2078985134 @default.
- W2965828412 cites W2079263908 @default.
- W2965828412 cites W2084343796 @default.
- W2965828412 cites W2084853400 @default.
- W2965828412 cites W2085170417 @default.
- W2965828412 cites W2092087261 @default.
- W2965828412 cites W2092631686 @default.
- W2965828412 cites W2092956521 @default.
- W2965828412 cites W2095039621 @default.
- W2965828412 cites W2104825805 @default.
- W2965828412 cites W2124031637 @default.
- W2965828412 cites W2126668629 @default.
- W2965828412 cites W2131333060 @default.
- W2965828412 cites W2134969995 @default.
- W2965828412 cites W2136084179 @default.
- W2965828412 cites W2145117018 @default.
- W2965828412 cites W2148517410 @default.
- W2965828412 cites W2150362408 @default.
- W2965828412 cites W2150805640 @default.
- W2965828412 cites W2151135230 @default.
- W2965828412 cites W2153002807 @default.
- W2965828412 cites W2153699166 @default.
- W2965828412 cites W2156763065 @default.
- W2965828412 cites W2158990210 @default.
- W2965828412 cites W2160474564 @default.
- W2965828412 cites W2165008991 @default.
- W2965828412 cites W2193503232 @default.
- W2965828412 cites W2216125166 @default.
- W2965828412 cites W2290563074 @default.
- W2965828412 cites W2290582037 @default.
- W2965828412 cites W2295148167 @default.
- W2965828412 cites W2344161932 @default.
- W2965828412 cites W2520894338 @default.
- W2965828412 cites W2536427608 @default.
- W2965828412 cites W2606052777 @default.
- W2965828412 cites W2607186398 @default.
- W2965828412 cites W2717923103 @default.
- W2965828412 cites W2767903201 @default.
- W2965828412 cites W2790318938 @default.
- W2965828412 cites W2795309845 @default.
- W2965828412 cites W2884270931 @default.
- W2965828412 cites W2897045067 @default.
- W2965828412 cites W4239486174 @default.
- W2965828412 cites W978970203 @default.
- W2965828412 doi "https://doi.org/10.1016/j.ijheatfluidflow.2019.108457" @default.
- W2965828412 hasPublicationYear "2019" @default.
- W2965828412 type Work @default.
- W2965828412 sameAs 2965828412 @default.
- W2965828412 citedByCount "13" @default.
- W2965828412 countsByYear W29658284122019 @default.
- W2965828412 countsByYear W29658284122020 @default.
- W2965828412 countsByYear W29658284122021 @default.
- W2965828412 countsByYear W29658284122022 @default.
- W2965828412 countsByYear W29658284122023 @default.
- W2965828412 crossrefType "journal-article" @default.
- W2965828412 hasAuthorship W2965828412A5005405861 @default.
- W2965828412 hasAuthorship W2965828412A5008922388 @default.
- W2965828412 hasAuthorship W2965828412A5025366675 @default.