Magnus Effect: Physical Origins and Numerical Prediction
An overview of the Magnus effect of projectiles and missiles is presented. The first part of the paper is devoted to the description of the physical mechanisms governing the Magnus effect. For yawing and spinning projectiles, at small incidences, the spin induces a weak asymmetry of the boundary lay...
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description | An overview of the Magnus effect of projectiles and missiles is presented. The first part of the paper is devoted to the description of the physical mechanisms governing the Magnus effect. For yawing and spinning projectiles, at small incidences, the spin induces a weak asymmetry of the boundary layer profiles. At high incidences, increased spin causes the separated vortex sheets to be altered. Vortex asymmetry generates an additional lateral force which gives a vortex contribution to the total Magnus effect. For finned projectiles or missiles, the origin of the Magnus effect on fins is the main issue. There are two principal sources contributing to the Magnus effect. Firstly, the interaction between the asymmetric boundary layer-wake of the body and the fins, and secondly, the spin induced modifications of the local incidences and of the flow topology around the fins. The second part of the paper is devoted to the numerical prediction and validation of these flow phenomena. A state of the art is presented including classical CFD methods based on Reynolds-averaged Navier–Stokes (RANS) and unsteady rans (URANS) equations, and also hybrid RANS/LES approach called ZDES. This last method is a recent advance in turbulence modeling methodologies that allows to take into account the unsteadiness of the flow in the base region. For validation purposes computational results were compared with wind tunnel tests. A wide range of angles of attack, spin rates, Reynolds and Mach numbers (subsonic, transonic and supersonic) have been investigated. |
doi_str_mv | 10.1115/1.4004330 |
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The first part of the paper is devoted to the description of the physical mechanisms governing the Magnus effect. For yawing and spinning projectiles, at small incidences, the spin induces a weak asymmetry of the boundary layer profiles. At high incidences, increased spin causes the separated vortex sheets to be altered. Vortex asymmetry generates an additional lateral force which gives a vortex contribution to the total Magnus effect. For finned projectiles or missiles, the origin of the Magnus effect on fins is the main issue. There are two principal sources contributing to the Magnus effect. Firstly, the interaction between the asymmetric boundary layer-wake of the body and the fins, and secondly, the spin induced modifications of the local incidences and of the flow topology around the fins. The second part of the paper is devoted to the numerical prediction and validation of these flow phenomena. A state of the art is presented including classical CFD methods based on Reynolds-averaged Navier–Stokes (RANS) and unsteady rans (URANS) equations, and also hybrid RANS/LES approach called ZDES. This last method is a recent advance in turbulence modeling methodologies that allows to take into account the unsteadiness of the flow in the base region. For validation purposes computational results were compared with wind tunnel tests. A wide range of angles of attack, spin rates, Reynolds and Mach numbers (subsonic, transonic and supersonic) have been investigated.</description><identifier>ISSN: 0021-8936</identifier><identifier>EISSN: 1528-9036</identifier><identifier>DOI: 10.1115/1.4004330</identifier><identifier>CODEN: JAMCAV</identifier><language>eng</language><publisher>New York, NY: ASME</publisher><subject>Aerodynamics ; Applied fluid mechanics ; Asymmetry ; Computational fluid dynamics ; Computational methods in fluid dynamics ; Exact sciences and technology ; Fins ; Fluid dynamics ; Fluid flow ; Fundamental areas of phenomenology (including applications) ; Magnus effect ; Mathematical models ; Navier-Stokes equations ; Physics ; Solid dynamics (ballistics, collision, multibody system, stabilization...) ; Solid mechanics ; Turbulence simulation and modeling ; Turbulent flow ; Turbulent flows, convection, and heat transfer</subject><ispartof>Journal of applied mechanics, 2011-09, Vol.78 (5)</ispartof><rights>2015 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a311t-3cf05f0f21dee4087c232693249013878757fae8323ed408cb518a486fa6e6613</citedby><cites>FETCH-LOGICAL-a311t-3cf05f0f21dee4087c232693249013878757fae8323ed408cb518a486fa6e6613</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>309,310,314,780,784,789,790,23921,23922,25131,27915,27916,38511</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=24505280$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Cayzac, Roxan</creatorcontrib><creatorcontrib>Carette, Eric</creatorcontrib><creatorcontrib>Denis, Pascal</creatorcontrib><creatorcontrib>Guillen, Philippe</creatorcontrib><title>Magnus Effect: Physical Origins and Numerical Prediction</title><title>Journal of applied mechanics</title><addtitle>J. Appl. Mech</addtitle><description>An overview of the Magnus effect of projectiles and missiles is presented. The first part of the paper is devoted to the description of the physical mechanisms governing the Magnus effect. For yawing and spinning projectiles, at small incidences, the spin induces a weak asymmetry of the boundary layer profiles. At high incidences, increased spin causes the separated vortex sheets to be altered. Vortex asymmetry generates an additional lateral force which gives a vortex contribution to the total Magnus effect. For finned projectiles or missiles, the origin of the Magnus effect on fins is the main issue. There are two principal sources contributing to the Magnus effect. Firstly, the interaction between the asymmetric boundary layer-wake of the body and the fins, and secondly, the spin induced modifications of the local incidences and of the flow topology around the fins. The second part of the paper is devoted to the numerical prediction and validation of these flow phenomena. A state of the art is presented including classical CFD methods based on Reynolds-averaged Navier–Stokes (RANS) and unsteady rans (URANS) equations, and also hybrid RANS/LES approach called ZDES. This last method is a recent advance in turbulence modeling methodologies that allows to take into account the unsteadiness of the flow in the base region. For validation purposes computational results were compared with wind tunnel tests. A wide range of angles of attack, spin rates, Reynolds and Mach numbers (subsonic, transonic and supersonic) have been investigated.</description><subject>Aerodynamics</subject><subject>Applied fluid mechanics</subject><subject>Asymmetry</subject><subject>Computational fluid dynamics</subject><subject>Computational methods in fluid dynamics</subject><subject>Exact sciences and technology</subject><subject>Fins</subject><subject>Fluid dynamics</subject><subject>Fluid flow</subject><subject>Fundamental areas of phenomenology (including applications)</subject><subject>Magnus effect</subject><subject>Mathematical models</subject><subject>Navier-Stokes equations</subject><subject>Physics</subject><subject>Solid dynamics (ballistics, collision, multibody system, stabilization...)</subject><subject>Solid mechanics</subject><subject>Turbulence simulation and modeling</subject><subject>Turbulent flow</subject><subject>Turbulent flows, convection, and heat transfer</subject><issn>0021-8936</issn><issn>1528-9036</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><recordid>eNo9kD1PwzAQhi0EEqUwMLNkQYgh5c5fcdhQVT6kQjvAbBnHLq7SBOxk6L8npRXTSXfPvdL7EHKJMEFEcYcTDsAZgyMyQkFVXgKTx2QEQDFXJZOn5CylNQAIJfmIqFezavqUzbx3trvPll_bFKyps0UMq9CkzDRV9tZvXPzbLqOrgu1C25yTE2_q5C4Oc0w-Hmfv0-d8vnh6mT7Mc8MQu5xZD8KDp1g5x0EVljIqS0Z5CchUoQpReOMUo8xVw91-ClSGK-mNdFIiG5Obfe53bH96lzq9Ccm6ujaNa_ukS8mUwILuyNs9aWObUnRef8ewMXGrEfROjkZ9kDOw14dUk4ZePprGhvT_QLmAQd6Ou9pzJm2cXrd9bIaymgsxaGW_g8JpsA</recordid><startdate>20110901</startdate><enddate>20110901</enddate><creator>Cayzac, Roxan</creator><creator>Carette, Eric</creator><creator>Denis, Pascal</creator><creator>Guillen, Philippe</creator><general>ASME</general><general>American Society of Mechanical Engineers</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TB</scope><scope>8FD</scope><scope>F28</scope><scope>FR3</scope><scope>KR7</scope></search><sort><creationdate>20110901</creationdate><title>Magnus Effect: Physical Origins and Numerical Prediction</title><author>Cayzac, Roxan ; Carette, Eric ; Denis, Pascal ; Guillen, Philippe</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a311t-3cf05f0f21dee4087c232693249013878757fae8323ed408cb518a486fa6e6613</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Aerodynamics</topic><topic>Applied fluid mechanics</topic><topic>Asymmetry</topic><topic>Computational fluid dynamics</topic><topic>Computational methods in fluid dynamics</topic><topic>Exact sciences and technology</topic><topic>Fins</topic><topic>Fluid dynamics</topic><topic>Fluid flow</topic><topic>Fundamental areas of phenomenology (including applications)</topic><topic>Magnus effect</topic><topic>Mathematical models</topic><topic>Navier-Stokes equations</topic><topic>Physics</topic><topic>Solid dynamics (ballistics, collision, multibody system, stabilization...)</topic><topic>Solid mechanics</topic><topic>Turbulence simulation and modeling</topic><topic>Turbulent flow</topic><topic>Turbulent flows, convection, and heat transfer</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Cayzac, Roxan</creatorcontrib><creatorcontrib>Carette, Eric</creatorcontrib><creatorcontrib>Denis, Pascal</creatorcontrib><creatorcontrib>Guillen, Philippe</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><jtitle>Journal of applied mechanics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Cayzac, Roxan</au><au>Carette, Eric</au><au>Denis, Pascal</au><au>Guillen, Philippe</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Magnus Effect: Physical Origins and Numerical Prediction</atitle><jtitle>Journal of applied mechanics</jtitle><stitle>J. Appl. Mech</stitle><date>2011-09-01</date><risdate>2011</risdate><volume>78</volume><issue>5</issue><issn>0021-8936</issn><eissn>1528-9036</eissn><coden>JAMCAV</coden><abstract>An overview of the Magnus effect of projectiles and missiles is presented. The first part of the paper is devoted to the description of the physical mechanisms governing the Magnus effect. For yawing and spinning projectiles, at small incidences, the spin induces a weak asymmetry of the boundary layer profiles. At high incidences, increased spin causes the separated vortex sheets to be altered. Vortex asymmetry generates an additional lateral force which gives a vortex contribution to the total Magnus effect. For finned projectiles or missiles, the origin of the Magnus effect on fins is the main issue. There are two principal sources contributing to the Magnus effect. Firstly, the interaction between the asymmetric boundary layer-wake of the body and the fins, and secondly, the spin induced modifications of the local incidences and of the flow topology around the fins. The second part of the paper is devoted to the numerical prediction and validation of these flow phenomena. A state of the art is presented including classical CFD methods based on Reynolds-averaged Navier–Stokes (RANS) and unsteady rans (URANS) equations, and also hybrid RANS/LES approach called ZDES. This last method is a recent advance in turbulence modeling methodologies that allows to take into account the unsteadiness of the flow in the base region. For validation purposes computational results were compared with wind tunnel tests. A wide range of angles of attack, spin rates, Reynolds and Mach numbers (subsonic, transonic and supersonic) have been investigated.</abstract><cop>New York, NY</cop><pub>ASME</pub><doi>10.1115/1.4004330</doi></addata></record> |
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subjects | Aerodynamics Applied fluid mechanics Asymmetry Computational fluid dynamics Computational methods in fluid dynamics Exact sciences and technology Fins Fluid dynamics Fluid flow Fundamental areas of phenomenology (including applications) Magnus effect Mathematical models Navier-Stokes equations Physics Solid dynamics (ballistics, collision, multibody system, stabilization...) Solid mechanics Turbulence simulation and modeling Turbulent flow Turbulent flows, convection, and heat transfer |
title | Magnus Effect: Physical Origins and Numerical Prediction |
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