Aerodynamic design of compressor airfoils using hierarchical, distributed, metamodel-assisted evolutionary algorithms

dc.contributor.author	Καρακάσης, Μάριος Κ.	el
dc.contributor.author	Γιαννάκογλου, Κυριάκος Χ.	el
dc.contributor.author	Κουμπογιάννης, Δημήτριος Γ.	el
dc.date.accessioned	2015-06-07T20:21:39Z
dc.date.available	2015-06-07T20:21:39Z
dc.date.issued	2015-06-07
dc.identifier.uri	http://hdl.handle.net/11400/15547
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.source	http://velos0.ltt.mech.ntua.gr/research/pdfs/3_084.pdf	en
dc.subject	Αεροδυναμική
dc.subject	Αεροτομές
dc.subject	Αλγόριθμοι
dc.subject	Σχεδιασμός
dc.subject	Νευρωνικά δίκτυα
dc.subject	Aerodynamics
dc.subject	Aerofoils
dc.subject	Algorithms
dc.subject	Design
dc.subject	Neural networks
dc.title	Aerodynamic design of compressor airfoils using hierarchical, distributed, metamodel-assisted evolutionary algorithms	en
heal.type	conferenceItem
heal.classification	Μαθηματικά
heal.classification	Μηχανική
heal.classification	Mathematics
heal.classification	Engineering
heal.classificationURI	N/A-Μαθηματικά
heal.classificationURI	N/A-Μηχανική
heal.classificationURI	http://skos.um.es/unescothes/C02437
heal.classificationURI	http://skos.um.es/unescothes/C01363
heal.keywordURI	http://id.loc.gov/authorities/subjects/sh85001301
heal.keywordURI	http://id.loc.gov/authorities/subjects/sh2002006371
heal.keywordURI	http://zbw.eu/stw/descriptor/19808-6
heal.language	en
heal.access	campus
heal.recordProvider	Τεχνολογικό Εκπαιδευτικό Ίδρυμα Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Μηχανικών Ενεργειακής Τεχνολογίας Τ.Ε.	el
heal.publicationDate	2007-03-05
heal.bibliographicCitation	Karakasis, M.K., Koubogiannis, D.G. and Giannakoglou, K.C. (2007) Aerodynamic design of compressor airfoils using hierarchical, distributed, metamodel-assisted evolutionary algorithms. Proceedings of the 7th European Conference on Turbomachinery: Fluid Dynamics and Thermodynamics, ETC 2007. Athens, Greece: European Conference on Turbomachinery (ETC)	en
heal.abstract	This paper presents state-of-the-art techniques which enhance noticeably the efficiency of evolutionary algorithms in aerodynamic shape optimization and, in particular, in turbomachin-ery blade airfoil design problems. These techniques rely upon the combined use of hierarchical (more than one levels of search, using evaluation tools of different modeling accuracy and CPU cost), distributed (simultaneously evolving population subsets, allowing the regular exchange of promising solutions between them), metamodel-assisted (many non-promising individuals, generated during the evolution, are filtered out during the inexact pre-evaluation phase, using on-line trained artificial neural networks) evolutionary algorithms. Their combination in a single search method, abbreviated to HDMAEA or HD(EA-IPE) and ported on a multiprocessor computing platform, is presented. This method is applied to the design of the stator airfoil of a highly-loaded compressor cascade. A flow turning of 45° at transonic flow conditions is achieved with markedly low total pressure losses.	en
heal.sponsor	European Commission,Greek Technical Chamber,National Technical Univ. of Athens, Lab. of Thermal Turbomachines,National Technical Univ. of Athens, School of Mechanical Engineering,Snecma Groupe Safran	en
heal.publisher	European Conference on Turbomachinery (ETC)	en
heal.fullTextAvailability	true
heal.conferenceName	Proceedings of the 7th European Conference on Turbomachinery: Fluid Dynamics and Thermodynamics, ETC 2007	en
heal.conferenceItemType	full paper