Matches in SemOpenAlex for { <https://semopenalex.org/work/W4367310810> ?p ?o ?g. }
- W4367310810 endingPage "414" @default.
- W4367310810 startingPage "414" @default.
- W4367310810 abstract "Autorotating samaras such as Sycamore seeds are capable of descending at exceptionally slow speeds and the secret behind this characteristic is attributed to a flow mechanism known as the leading edge vortex (LEV). A stable LEV is known to increase the maximum lift coefficient attainable at high angles of attack and recent studies of revolving and flapping wings have proposed suitable lift and drag coefficient models to characterise the aerodynamic forces of the LEV. For the samara, however, little has been explored to properly test the suitability of these low-order lift and drag coefficient models in describing the aerodynamic forces produced by the samara. Thus, in this paper, we aim to analyse the use of two proposed aerodynamic models, namely, the normal force and Polhamus models, in describing the sectional aerodynamic lift of a samara that is producing a LEV. Additionally, we aim to quantify the aerodynamic parameters that can describe the lift and drag of the samara for a range of wind speed conditions. To achieve this, the study first examined the samara flight data available in the literature, and from it, the profiles of the lift coefficient curves were investigated. Subsequently, a numerical Blade Element-Momentum model (BEM) of the autorotating samara encompassing different lift profiles was developed and validated against a comprehensive set of samara flight data, which were measured from wind tunnel experiments conducted at the University of Bristol for three different Sycamores. The results indicated that both the normal force and Polhamus lift models combined with the normal force drag can be used to describe the two-dimensional lift characteristics of a samara exhibiting an LEV. However, the normal force model appeared to be more suitable, since the Polhamus relied on many assumptions. The results also revealed that the aerodynamic force parameters can vary with windspeed and with the samara wing characteristics, as well as along the span of the samara wing. Values of the lift curve slope, zero-lift drag coefficient, and maximum lift coefficient are predicted and presented for different samaras. The study also showed that the low-order BEM model was able to generate a good agreement with the experimental measurements in the prediction of both rotational speed and thrust. Such a validated BEM model can be used for the initial design of bio-inspired rotors for micro-air vehicles." @default.
- W4367310810 created "2023-04-29" @default.
- W4367310810 creator A5040312663 @default.
- W4367310810 creator A5049452797 @default.
- W4367310810 date "2023-04-28" @default.
- W4367310810 modified "2023-10-18" @default.
- W4367310810 title "Sectional Leading Edge Vortex Lift and Drag Coefficients of Autorotating Samaras" @default.
- W4367310810 cites W1893963792 @default.
- W4367310810 cites W1903589887 @default.
- W4367310810 cites W1963553765 @default.
- W4367310810 cites W1963636759 @default.
- W4367310810 cites W1963752367 @default.
- W4367310810 cites W1992194808 @default.
- W4367310810 cites W1993113820 @default.
- W4367310810 cites W1993434112 @default.
- W4367310810 cites W1998127144 @default.
- W4367310810 cites W1999155484 @default.
- W4367310810 cites W2000051138 @default.
- W4367310810 cites W2006861099 @default.
- W4367310810 cites W2014192334 @default.
- W4367310810 cites W2020833431 @default.
- W4367310810 cites W2028755086 @default.
- W4367310810 cites W2034351939 @default.
- W4367310810 cites W2036466644 @default.
- W4367310810 cites W2039340322 @default.
- W4367310810 cites W2044152726 @default.
- W4367310810 cites W2051788799 @default.
- W4367310810 cites W2053979739 @default.
- W4367310810 cites W2054701354 @default.
- W4367310810 cites W2059991976 @default.
- W4367310810 cites W2062880736 @default.
- W4367310810 cites W2071467620 @default.
- W4367310810 cites W2079244727 @default.
- W4367310810 cites W2090671984 @default.
- W4367310810 cites W2108543817 @default.
- W4367310810 cites W2109207536 @default.
- W4367310810 cites W2112203449 @default.
- W4367310810 cites W2117726939 @default.
- W4367310810 cites W2124012251 @default.
- W4367310810 cites W2125963820 @default.
- W4367310810 cites W2128258307 @default.
- W4367310810 cites W2133403435 @default.
- W4367310810 cites W2135543111 @default.
- W4367310810 cites W2139952368 @default.
- W4367310810 cites W2141781663 @default.
- W4367310810 cites W2154762949 @default.
- W4367310810 cites W2158795120 @default.
- W4367310810 cites W2163191452 @default.
- W4367310810 cites W2166174601 @default.
- W4367310810 cites W2166251540 @default.
- W4367310810 cites W2168642489 @default.
- W4367310810 cites W2170010800 @default.
- W4367310810 cites W2177622009 @default.
- W4367310810 cites W2204472133 @default.
- W4367310810 cites W2329105674 @default.
- W4367310810 cites W2466607461 @default.
- W4367310810 cites W2508589987 @default.
- W4367310810 cites W2621351644 @default.
- W4367310810 cites W2739436681 @default.
- W4367310810 cites W2770083309 @default.
- W4367310810 cites W2772052675 @default.
- W4367310810 cites W2883022228 @default.
- W4367310810 cites W2886308579 @default.
- W4367310810 cites W2909297186 @default.
- W4367310810 cites W2979404060 @default.
- W4367310810 cites W2983765583 @default.
- W4367310810 cites W3004141306 @default.
- W4367310810 cites W3021090440 @default.
- W4367310810 cites W3158469260 @default.
- W4367310810 cites W4206328188 @default.
- W4367310810 cites W4210415628 @default.
- W4367310810 cites W4229924805 @default.
- W4367310810 cites W4242581469 @default.
- W4367310810 cites W4247360620 @default.
- W4367310810 cites W4317633857 @default.
- W4367310810 doi "https://doi.org/10.3390/aerospace10050414" @default.
- W4367310810 hasPublicationYear "2023" @default.
- W4367310810 type Work @default.
- W4367310810 citedByCount "0" @default.
- W4367310810 crossrefType "journal-article" @default.
- W4367310810 hasAuthorship W4367310810A5040312663 @default.
- W4367310810 hasAuthorship W4367310810A5049452797 @default.
- W4367310810 hasBestOaLocation W43673108101 @default.
- W4367310810 hasConcept C100086909 @default.
- W4367310810 hasConcept C107157880 @default.
- W4367310810 hasConcept C121332964 @default.
- W4367310810 hasConcept C124101348 @default.
- W4367310810 hasConcept C127413603 @default.
- W4367310810 hasConcept C132557482 @default.
- W4367310810 hasConcept C13393347 @default.
- W4367310810 hasConcept C139002025 @default.
- W4367310810 hasConcept C146978453 @default.
- W4367310810 hasConcept C150486481 @default.
- W4367310810 hasConcept C182748727 @default.
- W4367310810 hasConcept C18903297 @default.
- W4367310810 hasConcept C196558001 @default.
- W4367310810 hasConcept C22723013 @default.
- W4367310810 hasConcept C41008148 @default.