TBU Publications
Repository of TBU Publications

Aerodynamic efficiency optimization of Clark Y aerofoil using SU2 application

DSpace Repository

Show simple item record

dc.title Aerodynamic efficiency optimization of Clark Y aerofoil using SU2 application en
dc.contributor.author Vogeltanz, Tomáš
dc.relation.ispartof MENDEL 2016
dc.identifier.issn 1803-3814 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 9788021453654
dc.date.issued 2016
dc.citation.spage 79
dc.citation.epage 86
dc.event.title 22nd International Conference on Soft Computing: Evolutionary Computation, Genetic Programming, Swarm Intelligence, Fuzzy Logic, Neural Networks, Chaos, Bayesian Methods, Intelligent Image Processing, Bio-Inspired Robotics, MENDEL 2016
dc.event.location Brno
utb.event.state-en Czech Republic
utb.event.state-cs Česká republika
dc.event.sdate 2016-06-08
dc.event.edate 2016-06-10
dc.type conferenceObject
dc.language.iso en
dc.publisher Brno University of Technology
dc.subject Aerofoil optimization en
dc.subject Clark Y en
dc.subject Computational Fluid Dynamics en
dc.subject Hicks-Henne function en
dc.subject Inviscid flow en
dc.subject Low-speed flow en
dc.subject Open-source en
dc.subject SU2 en
dc.description.abstract In this paper, the aerodynamic efficiency optimizations of the Clark Y aerofoil by using the SU2 software suite are performed. We used a low-speed inviscid flow with the Mach number of approximately 0.0441 (15 m/s) for the optimization. To determine whether we found completely optimized aerofoils, we had to analyse the optimized aerofoils at surrounding angles of attack after the optimization. Moreover, we extended the analysis to obtain information whether the aerofoils can also be effectively used at higher velocities (up to 30 m/s). We executed and analysed five optimizations with the different number of design variables: 8, 18, 38, 78, and 158. Firstly, the aerodynamics of aerofoil is briefly described and the most important parameters are explained. In the following section, the SU2 software used for the optimizations is outlined and the optimization method is introduced. Finally, the results of the efficiency optimizations are presented, compared, and analysed. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1007119
utb.identifier.obdid 43874928
utb.identifier.scopus 2-s2.0-85014903076
utb.source d-scopus
dc.date.accessioned 2017-08-01T08:27:14Z
dc.date.available 2017-08-01T08:27:14Z
utb.contributor.internalauthor Vogeltanz, Tomáš
utb.fulltext.affiliation Tomáš Vogeltanz Tomas Bata University in Zlín Department of Informatics and Artificial Intelligence nám. T.G. Masaryka 5555, 760 01 Zlín Czech Republic vogeltanz@fai.utb.cz
utb.fulltext.dates -
utb.fulltext.sponsorship This work was supported by the Ministry of Education, Youth and Sports of the Czech Republic within the National Sustainability Programme project No. LO1303 (MSMT-7778/2014) and also by the Internal Grant Agency of Tomas Bata University under the project No. IGA/CebiaTech/2016/002.
Find Full text

Files in this item

Show simple item record