Efficient Global Optimization of Vortex Generators on a Supercritical Infinite Wing
Multi-objective optimization of vortex generators on a transonic infinite wing is performed using computational fluid dynamics and a multi-objective genetic algorithm coupled with surrogate models. Vortex generator arrangements are defined by five design variables: height, length, incidence angle, c...
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Veröffentlicht in: | Journal of aircraft 2016-11, Vol.53 (6), p.1670-1679 |
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description | Multi-objective optimization of vortex generators on a transonic infinite wing is performed using computational fluid dynamics and a multi-objective genetic algorithm coupled with surrogate models. Vortex generator arrangements are defined by five design variables: height, length, incidence angle, chord location, and spacing. The objective functions are to maximize the lift-to-drag ratio at low angle of attack, to maximize lift coefficient at high angle of attack, and to the shift chordwise separation location downstream at high angle of attack. To evaluate these objective functions of each individual in the multi-objective genetic algorithm, the ordinary kriging surrogate model and the radial-basis-function/kriging hybrid surrogate model are employed because numerical analysis of the wing with vortex generators requires a large amount of computational time. Nondominated solutions are classified into five clusters with different aerodynamic characteristics. Comparison of the five clusters revealed that the balance among three objective functions is controlled mainly by vortex generator height, spacing, and their ratio. The solutions in each cluster have specific values of these three parameters, which identify the aerodynamic characteristics. In addition, appropriate values of design variables for generating the vortex most effectively are investigated. |
doi_str_mv | 10.2514/1.C033753 |
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Vortex generator arrangements are defined by five design variables: height, length, incidence angle, chord location, and spacing. The objective functions are to maximize the lift-to-drag ratio at low angle of attack, to maximize lift coefficient at high angle of attack, and to the shift chordwise separation location downstream at high angle of attack. To evaluate these objective functions of each individual in the multi-objective genetic algorithm, the ordinary kriging surrogate model and the radial-basis-function/kriging hybrid surrogate model are employed because numerical analysis of the wing with vortex generators requires a large amount of computational time. Nondominated solutions are classified into five clusters with different aerodynamic characteristics. Comparison of the five clusters revealed that the balance among three objective functions is controlled mainly by vortex generator height, spacing, and their ratio. The solutions in each cluster have specific values of these three parameters, which identify the aerodynamic characteristics. In addition, appropriate values of design variables for generating the vortex most effectively are investigated.</description><identifier>ISSN: 0021-8669</identifier><identifier>EISSN: 1533-3868</identifier><identifier>DOI: 10.2514/1.C033753</identifier><language>eng</language><publisher>Virginia: American Institute of Aeronautics and Astronautics</publisher><subject>Aerodynamic characteristics ; Aerodynamic coefficients ; Aerodynamics ; Angle of attack ; Clusters ; Computational fluid dynamics ; Computing time ; Genetic algorithms ; Global optimization ; High angle of attack ; Incidence angle ; Multiple objective analysis ; Numerical analysis ; Parameter identification ; Radial basis function ; Vortex generators ; Vortices</subject><ispartof>Journal of aircraft, 2016-11, Vol.53 (6), p.1670-1679</ispartof><rights>Copyright © 2016 by Nobuo Namura, Shigeru Obayashi, and Shinkyu Jeong. Published by the American Institute of Aeronautics and Astronautics, Inc., with permission. Copies of this paper may be made for personal and internal use, on condition that the copier pay the per-copy fee to the Copyright Clearance Center (CCC). All requests for copying and permission to reprint should be submitted to CCC at ; employ the ISSN (print) or (online) to initiate your request.</rights><rights>Copyright © 2016 by Nobuo Namura, Shigeru Obayashi, and Shinkyu Jeong. Published by the American Institute of Aeronautics and Astronautics, Inc., with permission. Copies of this paper may be made for personal and internal use, on condition that the copier pay the per-copy fee to the Copyright Clearance Center (CCC). All requests for copying and permission to reprint should be submitted to CCC at www.copyright.com; employ the ISSN 0021-8669 (print) or 1533-3868 (online) to initiate your request.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a354t-40358cbb7a0229c9b266894d0c1b610423f6ab4517fecf1c9a4c0f6a7e34ec963</citedby><cites>FETCH-LOGICAL-a354t-40358cbb7a0229c9b266894d0c1b610423f6ab4517fecf1c9a4c0f6a7e34ec963</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>315,781,785,27929,27930</link.rule.ids></links><search><creatorcontrib>Namura, Nobuo</creatorcontrib><creatorcontrib>Obayashi, Shigeru</creatorcontrib><creatorcontrib>Jeong, Shinkyu</creatorcontrib><title>Efficient Global Optimization of Vortex Generators on a Supercritical Infinite Wing</title><title>Journal of aircraft</title><description>Multi-objective optimization of vortex generators on a transonic infinite wing is performed using computational fluid dynamics and a multi-objective genetic algorithm coupled with surrogate models. Vortex generator arrangements are defined by five design variables: height, length, incidence angle, chord location, and spacing. The objective functions are to maximize the lift-to-drag ratio at low angle of attack, to maximize lift coefficient at high angle of attack, and to the shift chordwise separation location downstream at high angle of attack. To evaluate these objective functions of each individual in the multi-objective genetic algorithm, the ordinary kriging surrogate model and the radial-basis-function/kriging hybrid surrogate model are employed because numerical analysis of the wing with vortex generators requires a large amount of computational time. Nondominated solutions are classified into five clusters with different aerodynamic characteristics. Comparison of the five clusters revealed that the balance among three objective functions is controlled mainly by vortex generator height, spacing, and their ratio. The solutions in each cluster have specific values of these three parameters, which identify the aerodynamic characteristics. In addition, appropriate values of design variables for generating the vortex most effectively are investigated.</description><subject>Aerodynamic characteristics</subject><subject>Aerodynamic coefficients</subject><subject>Aerodynamics</subject><subject>Angle of attack</subject><subject>Clusters</subject><subject>Computational fluid dynamics</subject><subject>Computing time</subject><subject>Genetic algorithms</subject><subject>Global optimization</subject><subject>High angle of attack</subject><subject>Incidence angle</subject><subject>Multiple objective analysis</subject><subject>Numerical analysis</subject><subject>Parameter identification</subject><subject>Radial basis function</subject><subject>Vortex generators</subject><subject>Vortices</subject><issn>0021-8669</issn><issn>1533-3868</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><recordid>eNplkE1LAzEYhIMoWKsH_0FAEDxsffOxye5RSq2FQg_14xiyMZGUNlmTFNRf70oFD54GhmdmYBC6JDChNeG3ZDIFxmTNjtCI1IxVrBHNMRoBUFI1QrSn6CznDQA0IOUIrWfOeeNtKHi-jZ3e4lVf_M5_6eJjwNHh55iK_cBzG2zSJaaMB1_j9b63ySRfvBlCi-B88MXiFx_eztGJ09tsL351jJ7uZ4_Th2q5mi-md8tKs5qXigOrG9N1UgOlrWk7KkTT8lcwpBMEOGVO6I7XRDprHDGt5gYGS1rGrWkFG6OrQ2-f4vve5qI2cZ_CMKkobxmRgkk-UDcHyqSYc7JO9cnvdPpUBNTPZ4qo388G9vrAaq_1X9t_8BsMKWlm</recordid><startdate>20161101</startdate><enddate>20161101</enddate><creator>Namura, Nobuo</creator><creator>Obayashi, Shigeru</creator><creator>Jeong, Shinkyu</creator><general>American Institute of Aeronautics and Astronautics</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>H8D</scope><scope>L7M</scope><scope>U9A</scope></search><sort><creationdate>20161101</creationdate><title>Efficient Global Optimization of Vortex Generators on a Supercritical Infinite Wing</title><author>Namura, Nobuo ; Obayashi, Shigeru ; Jeong, Shinkyu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a354t-40358cbb7a0229c9b266894d0c1b610423f6ab4517fecf1c9a4c0f6a7e34ec963</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Aerodynamic characteristics</topic><topic>Aerodynamic coefficients</topic><topic>Aerodynamics</topic><topic>Angle of attack</topic><topic>Clusters</topic><topic>Computational fluid dynamics</topic><topic>Computing time</topic><topic>Genetic algorithms</topic><topic>Global optimization</topic><topic>High angle of attack</topic><topic>Incidence angle</topic><topic>Multiple objective analysis</topic><topic>Numerical analysis</topic><topic>Parameter identification</topic><topic>Radial basis function</topic><topic>Vortex generators</topic><topic>Vortices</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Namura, Nobuo</creatorcontrib><creatorcontrib>Obayashi, Shigeru</creatorcontrib><creatorcontrib>Jeong, Shinkyu</creatorcontrib><collection>CrossRef</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Journal of aircraft</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Namura, Nobuo</au><au>Obayashi, Shigeru</au><au>Jeong, Shinkyu</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Efficient Global Optimization of Vortex Generators on a Supercritical Infinite Wing</atitle><jtitle>Journal of aircraft</jtitle><date>2016-11-01</date><risdate>2016</risdate><volume>53</volume><issue>6</issue><spage>1670</spage><epage>1679</epage><pages>1670-1679</pages><issn>0021-8669</issn><eissn>1533-3868</eissn><abstract>Multi-objective optimization of vortex generators on a transonic infinite wing is performed using computational fluid dynamics and a multi-objective genetic algorithm coupled with surrogate models. Vortex generator arrangements are defined by five design variables: height, length, incidence angle, chord location, and spacing. The objective functions are to maximize the lift-to-drag ratio at low angle of attack, to maximize lift coefficient at high angle of attack, and to the shift chordwise separation location downstream at high angle of attack. To evaluate these objective functions of each individual in the multi-objective genetic algorithm, the ordinary kriging surrogate model and the radial-basis-function/kriging hybrid surrogate model are employed because numerical analysis of the wing with vortex generators requires a large amount of computational time. Nondominated solutions are classified into five clusters with different aerodynamic characteristics. Comparison of the five clusters revealed that the balance among three objective functions is controlled mainly by vortex generator height, spacing, and their ratio. The solutions in each cluster have specific values of these three parameters, which identify the aerodynamic characteristics. In addition, appropriate values of design variables for generating the vortex most effectively are investigated.</abstract><cop>Virginia</cop><pub>American Institute of Aeronautics and Astronautics</pub><doi>10.2514/1.C033753</doi><tpages>10</tpages></addata></record> |
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subjects | Aerodynamic characteristics Aerodynamic coefficients Aerodynamics Angle of attack Clusters Computational fluid dynamics Computing time Genetic algorithms Global optimization High angle of attack Incidence angle Multiple objective analysis Numerical analysis Parameter identification Radial basis function Vortex generators Vortices |
title | Efficient Global Optimization of Vortex Generators on a Supercritical Infinite Wing |
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