dc.contributor.author | Bletsos, Georgios | en |
dc.contributor.author | Μπλέτσος, Γεώργιος | el |
dc.date.accessioned | 2020-04-15T12:51:01Z | |
dc.date.available | 2020-04-15T12:51:01Z | |
dc.identifier.uri | https://dspace.lib.ntua.gr/xmlui/handle/123456789/50194 | |
dc.identifier.uri | http://dx.doi.org/10.26240/heal.ntua.17892 | |
dc.rights | Αναφορά Δημιουργού-Όχι Παράγωγα Έργα 3.0 Ελλάδα | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nd/3.0/gr/ | * |
dc.subject | Λίπανση | el |
dc.subject | Συνεκτικότητα | el |
dc.subject | Εξελικτικοί αλγόριθμοι | el |
dc.subject | Υπολογιστική ρευστομηχανική | el |
dc.subject | Μοριακή δυναμική | el |
dc.subject | Lubrication | en |
dc.subject | Viscosity | en |
dc.subject | Evolutionary algorithms | en |
dc.subject | Computational fluid dynamics | en |
dc.subject | Molecular dynamics | en |
dc.title | Preliminary design of new lubricants featuring inhomogeneous or anisotropic viscosity | en |
dc.title | Προκαταρτικός σχεδιασμός νέων λιπαντικών με ανομοιογενή ή ανισότροπη συνεκτικότητα | el |
heal.type | bachelorThesis | |
heal.classification | Computational fluid dynamics | en |
heal.classification | Molecular dynamics | en |
heal.classification | Optimization | en |
heal.classification | Computational tribology | en |
heal.language | el | |
heal.language | en | |
heal.access | free | |
heal.recordProvider | ntua | el |
heal.publicationDate | 2019-07-05 | |
heal.abstract | Friction accounts for approximately 15% of fuel energy losses in internal combustion engine vehicles. To reduce it, new lubricants should be designed. Inspired by studies and observations on ionic liquids and liquid crystals, their inhomogeneous and anisotropic characteristics are studied as potential beneficial attributes to lubrication. In this diploma thesis, inhomogeneity is emulated in the continuum domain by introducing an inherently inhomogeneous viscosity in the Navier-Stokes equations. Viscosity parameterization schemes are programmed and implemented in the OpenFOAM environment. Using an evolutionary algorithm, implemented within the generic optimization platform EASY, optimal viscosity profiles leading to a potential improvement in friction performance are identified for a converging hydrodynamic slider. Parametric studies are carried out to further understand the complexities involved in such lubricating methods. In the anisotropic approach, a tensorial viscosity description is adopted. The Navier-Stokes equations are adapted accordingly and in the OpenFOAM environment. The model is then coupled with an evolutionary algorithm targeting to identify the impact of the tensor's terms on lubrication performance. The study is then extended to the nano-scale. Specific particle typologies, featuring optimized viscosity variations, as identified in the continuum domain, are selected using coarse grain molecular dynamics simulations. Through the appropriate tuning of the particles' properties, viscosity inhomogeneity is achieved and friction is reduced compared to a homogeneous case. | en |
heal.sponsor | Major part in this diploma thesis was carried out in the premises of Toyota Motor Europe in Brussels, Belgium, during a 9 month long internship. | en |
heal.advisorName | Giannakoglou, Kyriakos C. | en |
heal.advisorName | Gkagkas, Konstantinos | en |
heal.committeeMemberName | Γιαννάκογλου, Κυριάκος Χ. | 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 | 92 σ. | el |
heal.fullTextAvailability | true |
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