Prediction of the exterior wind noise from cars & shape optimization based on continuous adjoint

Sarras, Konstantinos; Σάρρας, Κωνσταντίνος

dc.contributor.author	Sarras, Konstantinos	en
dc.contributor.author	Σάρρας, Κωνσταντίνος	el
dc.date.accessioned	2020-12-23T12:13:58Z
dc.date.available	2020-12-23T12:13:58Z
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/52660
dc.identifier.uri	http://dx.doi.org/10.26240/heal.ntua.20358
dc.rights	Default License
dc.subject	Aerodynamics	en
dc.subject	Aeroacoustics	en
dc.subject	Optimization	en
dc.subject	Adjoint	en
dc.subject	Automotive	en
dc.subject	Αεροδυναμική	el
dc.subject	Ρευστοδυναμική	el
dc.subject	Βελτιστοποίηση	el
dc.subject	Συζυγής μέθοδος	el
dc.subject	Αεροακουστική	el
dc.title	Prediction of the exterior wind noise from cars & shape optimization based on continuous adjoint	en
heal.type	bachelorThesis
heal.classification	Mechanical engineering	en
heal.language	en
heal.access	free
heal.recordProvider	ntua	el
heal.publicationDate	2020-10-16
heal.abstract	The purpose of this diploma thesis is the prediction and minimization of aerodynamically induced noise, or wind noise, in automotive applications. Both of goals of this work are accomplished using CFD-based methods . In order to computationally predict the wind noise levels of vehicles and to localize the noise sources, a CFD-based Noise Source Identification (NSI) model has been programmed in OpenFOAM ©, developed and owned by Toyota Motor Corporation (TMC). The model aims at determining the flow patterns that contribute to the generation of acoustic pressure fluctuations; and consequently sound. The unsteady flow fields of velocity and vorticity acquired from a transient CFD simulation are a prerequisite for the evaluation of the model’s equations. To this end, the model’s workflow is demonstrated on a Toyota production car for localizing the noise sources around the vehicle’s body. Thereinafter, a shape optimization is applied to the production car for the reduction of noise levels perceived by the driver. The optimization was conducted in the OpenFOAM © environment, using the continuous adjoint method, developed by the Parallel CFD & Optimization Unit (PCOpt/NTUA). The driver’s side view mirror (SVM), considered to be the main wind noise contributor, is parametrized and morphed accordingly in order to minimize the aforementioned objective function. A optimal SVM shape for noise reduction has been obtained. Major part of this thesis was carried out in the premises of Toyota Motor Europe (TME) in Brussels, Belgium, during a 7 month long internship, with Mr. Antoine Delacroix as the industrial advisor	en
heal.advisorName	Giannakoglou, Kyriakos C.	en
heal.committeeMemberName	Mathioudakis, Konstantinos,	en
heal.committeeMemberName	Nikolaos Aretakis	en
heal.academicPublisher	Εθνικό Μετσόβιο Πολυτεχνείο. Σχολή Μηχανολόγων Μηχανικών. Τομέας Ρευστών	el
heal.academicPublisherID	ntua
heal.numberOfPages	108 σ.	el
heal.fullTextAvailability	false