Ένταξη του GPU επιλύτη ροής PUMA σε ολοκληρωμένο εργαλείο ανάλυσης και βελτιστοποίησης στροβιλομηχανών της βιομηχανίας. Δοκιμές και πιστοποίση

Τσόπελας, Ηλίας-Ιωάννης; Tsopelas, Ilias-Ioannis

dc.contributor.author	Τσόπελας, Ηλίας-Ιωάννης	el
dc.contributor.author	Tsopelas, Ilias-Ioannis	en
dc.date.accessioned	2019-03-18T10:46:38Z
dc.date.available	2019-03-18T10:46:38Z
dc.date.issued	2019-03-18
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/48465
dc.identifier.uri	http://dx.doi.org/10.26240/heal.ntua.16467
dc.rights	Default License
dc.subject	Στροβιλομηχανές	el
dc.subject	Επιλύτης ροής	el
dc.subject	Κάρτες γραφικών	el
dc.subject	Βελτιστοποίηση	el
dc.subject	Πιστοποίηση	el
dc.subject	Turbomachinery	el
dc.subject	CFD solver	el
dc.subject	GPU	el
dc.subject	Optimization	el
dc.subject	Validation	el
dc.title	Ένταξη του GPU επιλύτη ροής PUMA σε ολοκληρωμένο εργαλείο ανάλυσης και βελτιστοποίησης στροβιλομηχανών της βιομηχανίας. Δοκιμές και πιστοποίση	el
dc.title	Integration of the GPU-Enabled CFD solver PUMA into the workflow of a turbomachinery industry. Testing and validation	en
heal.type	bachelorThesis
heal.classification	Στροβιλομηχανές	el
heal.classificationURI	http://data.seab.gr/concepts/c767e3491768ec9502f702c4072d13744286a45d
heal.language	el
heal.language	en
heal.access	free
heal.recordProvider	ntua	el
heal.publicationDate	2018-10-10
heal.abstract	This diploma thesis presents the integration and validation of the PUMA CFD solver developed by the Parallel CFD \& Optimization Unit (PCOpt/NTUA) of the School of Mechanical Engineering of the National Technical University of Athens into the industrial workflow of Andritz Hydro, at the premises of which a major part of this thesis was conducted. The PUMA CFD solver can run on clusters of GPUs, thus achieving lower computational costs. PUMA uses a vertex-centered finite volume method for solving the 3D Reynolds-Averaged Navier-Stokes equations with the use of the Spalart-Allmaras turbulence model. PUMA, also, employs the pseudocompressibility method to accelerate the convergence rate. Various interfacing tools are programmed that enable the organic integration of the PUMA solver into the workflow. These tools include two grid converters, a pre-processor and a post-processor. The PUMA solver is, then, compared with a commercial CFD solver. The comparison is based on various cases of hydraulic turbine configurations. With each new case the complexity of the configuration rises, thus testing the capabilities of the PUMA solver. The cases include the runner of a Francis turbine, the guide vanes and the runner of a propeller turbine and the guide vanes, the runner and the draft tube of a Kaplan turbine. Finally, the PUMA solver is used as an evaluation tool in the framework of the design-optimization loop used by Andritz Hydro. The Evolutionary Algorithm optimization method is chosen, employed by the tool Evolutionary Algorithm SYstem (EASY), developed by PCOpt/NTUA. The shape of the blade of a Kaplan runner iss optimized with the goal of maximizing the turbine's efficiency and avoiding the appearance of cavitation.	en
heal.advisorName	Γιαννάκογλου, Κυριάκος	el
heal.committeeMemberName	Μαθιουδάκης, Κωνσταντίνος	el
heal.committeeMemberName	Αρετάκης, Νικόλαος	el
heal.academicPublisher	Εθνικό Μετσόβιο Πολυτεχνείο. Σχολή Μηχανολόγων Μηχανικών. Τομέας Ρευστών. Εργαστήριο Θερμικών Στροβιλομηχανών	el
heal.academicPublisherID	ntua
heal.numberOfPages	126 σ.
heal.fullTextAvailability	true