Parallel CFD tool to produce faulty blade signatures for diagnostic purposes

dc.contributor.author	Κουμπογιάννης, Δημήτριος Γ.	el
dc.contributor.author	Ηλιάδης, Β.Π.	el
dc.contributor.author	Γιαννάκογλου, Κυριάκος Χ.	el
dc.date.accessioned	2015-06-07T21:33:18Z
dc.date.available	2015-06-07T21:33:18Z
dc.date.issued	2015-06-08
dc.identifier.uri	http://hdl.handle.net/11400/15566
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://proceedings.asmedigitalcollection.asme.org/proceeding.aspx?articleID=2087843	en
dc.subject	Υπολογιστική ρευστοδυναμική
dc.subject	Συστήματα βάσεων δεδομένων
dc.subject	Ανάλυση αστοχίας
dc.subject	αεριοστρόβιλοι
dc.subject	Συστήματα Παράλληλης Επεξεργασίας
dc.subject	Computational fluid dynamics
dc.subject	Database systems
dc.subject	Failure analysis (Engineering)
dc.subject	Gas turbines
dc.subject	Parallel processing systems
dc.title	Parallel CFD tool to produce faulty blade signatures for diagnostic purposes	en
heal.type	conferenceItem
heal.classification	Μηχανική
heal.classification	Βάσεις δεδομένων
heal.classification	Mechanics
heal.classification	Databases
heal.classificationURI	N/A-Μηχανική
heal.classificationURI	N/A-Βάσεις δεδομένων
heal.classificationURI	http://skos.um.es/unescothes/C02449
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh86007767
heal.keywordURI	http://id.loc.gov/authorities/subjects/sh2007008173
heal.keywordURI	http://id.loc.gov/authorities/subjects/sh2012001097
heal.identifier.secondary	ISSN: 04021215
heal.language	en
heal.access	campus
heal.recordProvider	Τεχνολογικό Εκπαιδευτικό Ίδρυμα Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Μηχανικών Ενεργειακής Τεχνολογίας Τ.Ε.	el
heal.publicationDate	1998-06-02
heal.bibliographicCitation	Koubogiannis, D.G., Iliadis, V.P. and Giannakoglou, K.C. (1998) Parallel CFD tool to produce faulty blade signatures for diagnostic purposes. American Society of Mechanical Engineers. Proceedings of the 1998 International Gas Turbine & Aeroengine Congress & Exhibition. Stockholm, Sweden: ASME	en
heal.abstract	In the turbomachinery field, many diagnostic systems utilize databases with symptoms corresponding to the most frequent operation faults. Thanks to Computational Fluid Dynamics (CFD), databases can be created without costly experiments, whereas the use of unstructured grids in combination with parallel processing makes the whole task easy and fast to accomplish. In this paper, a procedure that builds up a database for gas-turbine fault diagnosis is demonstrated. Advanced CFD tools that operate concurrently on multi-processor platforms are used. The so-prepared database contributes to the identification of faults through the analysis of the unsteady pressure signals that correspond to hypothetical sensors located in the inter-blade region. The pressure signals are post-processed in a similar way to the one experimentalists employ for fast-response pressure measurements. Symptoms related to displaced and/or twisted blades in an industrial high-speed compressor cascade, at design and off-design operating conditions, are analyzed.	en
heal.sponsor	International Gas Turbine Institute	en
heal.publisher	ASME	en
heal.fullTextAvailability	true
heal.conferenceName	Proceedings of the 1998 International Gas Turbine & Aeroengine Congress & Exhibition	en
heal.conferenceItemType	full paper