Nowadays an increasing amount of resources are being allocated, both in academia and industry, to enhance the vibrational performance of novel turbomachinery components. Indeed, the continuous demand for higher efficiencies and weight reductions, together with more and more restrictive environmental regulations are driving the gas turbine design towards the technological limits of the materials. In this context, integrated optimisation systems represent an attractive prospective for the improvement of the existing design solutions. In the current work a Multi-Objective Tabu Search (MOTS) algorithm has been deployed to perform aeromechanical optimisations of a low speed axial compressor stage. In the first part of the research innovative strategies have been implemented to parametrise the 3D airfoils shape and an integrated framework for 2-Way FSI simulation have been developed. In the second part, two multi-disciplinary optimisations have been performed aimed at simultaneously minimise the aerodynamic pressure losses and the peak stress intensity at the rotor blade root.
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Paride Mesaglio Chittaro, born on 27th October 1990 in Udine (Italy), is now a promising Engineer working for GE Aviation. He specialized in Aerospace Propulsion and graduated with Honours at Politecnico di Torino and at Cranfield University (Double Degree) in 2014, where he was awarded with the Siemens Power and Propulsion Prize for this work.
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Nowadays an increasing amount of resources are being allocated, both in academia and industry, to enhance the vibrational performance of novel turbomachinery components. Indeed, the continuous demand for higher efficiencies and weight reductions, together with more and more restrictive environmental regulations are driving the gas turbine design towards the technological limits of the materials. In this context, integrated optimisation systems represent an attractive prospective for the improvement of the existing design solutions. In the current work a Multi-Objective Tabu Search (MOTS) algorithm has been deployed to perform aeromechanical optimisations of a low speed axial compressor stage. In the first part of the research innovative strategies have been implemented to parametrise the 3D airfoils shape and an integrated framework for 2-Way FSI simulation have been developed. In the second part, two multi-disciplinary optimisations have been performed aimed at simultaneously minimise the aerodynamic pressure losses and the peak stress intensity at the rotor blade root. 168 pp. Englisch. Codice articolo 9783659932212
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Da: moluna, Greven, Germania
Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Mesaglio Chittaro ParideParide Mesaglio Chittaro, born on 27th October 1990 in Udine (Italy), is now a promising Engineer working for GE Aviation. He specialized in Aerospace Propulsion and graduated with Honours at Politecnico di To. Codice articolo 158606801
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Paperback. Condizione: Brand New. 168 pages. 8.66x5.91x0.38 inches. In Stock. Codice articolo 3659932213
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Taschenbuch. Condizione: Neu. Neuware -Nowadays an increasing amount of resources are being allocated, both in academia and industry, to enhance the vibrational performance of novel turbomachinery components. Indeed, the continuous demand for higher efficiencies and weight reductions, together with more and more restrictive environmental regulations are driving the gas turbine design towards the technological limits of the materials. In this context, integrated optimisation systems represent an attractive prospective for the improvement of the existing design solutions. In the current work a Multi-Objective Tabu Search (MOTS) algorithm has been deployed to perform aeromechanical optimisations of a low speed axial compressor stage. In the first part of the research innovative strategies have been implemented to parametrise the 3D airfoils shape and an integrated framework for 2-Way FSI simulation have been developed. In the second part, two multi-disciplinary optimisations have been performed aimed at simultaneously minimise the aerodynamic pressure losses and the peak stress intensity at the rotor blade root.Books on Demand GmbH, Überseering 33, 22297 Hamburg 168 pp. Englisch. Codice articolo 9783659932212
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Da: AHA-BUCH GmbH, Einbeck, Germania
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Nowadays an increasing amount of resources are being allocated, both in academia and industry, to enhance the vibrational performance of novel turbomachinery components. Indeed, the continuous demand for higher efficiencies and weight reductions, together with more and more restrictive environmental regulations are driving the gas turbine design towards the technological limits of the materials. In this context, integrated optimisation systems represent an attractive prospective for the improvement of the existing design solutions. In the current work a Multi-Objective Tabu Search (MOTS) algorithm has been deployed to perform aeromechanical optimisations of a low speed axial compressor stage. In the first part of the research innovative strategies have been implemented to parametrise the 3D airfoils shape and an integrated framework for 2-Way FSI simulation have been developed. In the second part, two multi-disciplinary optimisations have been performed aimed at simultaneously minimise the aerodynamic pressure losses and the peak stress intensity at the rotor blade root. Codice articolo 9783659932212
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Da: preigu, Osnabrück, Germania
Taschenbuch. Condizione: Neu. Compressor Multi-Objective Optimisation | Aeromechanical Performance Enhancement With Innovative Computational Design Methods | Paride Mesaglio Chittaro (u. a.) | Taschenbuch | 168 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659932212 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. Codice articolo 102877345
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