Compressor Multi-Objective Optimisation: Aeromechanical Performance Enhancement With Innovative Computational Design Methods - Couverture souple

Mesaglio Chittaro, Paride; Savill, A. Mark; Kipouros, Timoleon

 
9783659932212: Compressor Multi-Objective Optimisation: Aeromechanical Performance Enhancement With Innovative Computational Design Methods
Couverture souple
ISBN 10 : 3659932213 ISBN 13 : 9783659932212
Editeur : LAP LAMBERT Academic Publishing, 2016

Synopsis

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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Présentation de l'éditeur

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.

Biographie de l'auteur

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.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2016
Langue
anglais
ISBN 10 
3659932213
ISBN 13 
9783659932212
Reliure
Broché
Nombre de pages
168
Coordonnées du fabricant
non disponible
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