Development of a physically-based simulation and diagnosis methodology for supercharging systems and its application on large scale marine diesel engines

Abstract

In the present work is described the development of a new turbocharger modelling technique developed for Diesel engine Simulation and Diagnostic studies, as well as the validation and practical application of the proposed methodology. It involves turbocharger components simulation (compressor and turbine) using physical, meanline (1-D) models.The motivation for the work, overview and basics of internal combustion engine technology and applications are outlined in Chapter 1. Chapter 2 consist of a brief overview of Diesel engine charge induction and gas exchange methods, with special emphasis on turbocharging, being the focus of the thesis. Turbocharging history and development, as well as operating principle are presented, and recent developments on the field specifically regarding large scale engines are discussed. In Chapter 3 is conducted a review of the literature to present established methodologies for the simulation of compressor and turbine in engine simulation applications. It ...
show more

All items in National Archive of Phd theses are protected by copyright.

DOI
10.12681/eadd/40180
Handle URL
http://hdl.handle.net/10442/hedi/40180
ND
40180
Alternative title
Ανάπτυξη μεθοδολογίας προσομοίωσης και διάγνωσης διατάξεων υπερπλήρωσης με χρήση φυσικών μοντέλων και εφαρμογή της σε κινητήρες ντίζελ μεγάλου μεγέθους
Author
Sakellaridis, Nikolaos (Father's name: Fragkiskos)
Date
2017
Degree Grantor
National Technical University of Athens (NTUA)
Committee members
Χουντάλας Δημήτριος
Ρακόπουλος Κωνσταντίνος
Ρογδάκης Εμμανουήλ
Αντωνόπουλος Κίμων
Γιακουμής Ε.
Αρετάκης Νικόλαος
Παριώτης Ευθ.
Discipline
Engineering and TechnologyMechanical Engineering
Keywords
Turbocharger simulation; Marine diesel engine diagnosis
Country
Greece
Language
English
Description
312 σ., im., tbls., fig., ch.
Rights and terms of use
Το έργο παρέχεται υπό τους όρους της δημόσιας άδειας του νομικού προσώπου Creative Commons Corporation:
Usage statistics
VIEWS
Concern the unique Ph.D. Thesis' views for the period 07/2018 - 07/2023.
Source: Google Analytics.
ONLINE READER
Concern the online reader's opening for the period 07/2018 - 07/2023.
Source: Google Analytics.
DOWNLOADS
Concern all downloads of this Ph.D. Thesis' digital file.
Source: National Archive of Ph.D. Theses.
USERS
Concern all registered users of National Archive of Ph.D. Theses who have interacted with this Ph.D. Thesis. Mostly, it concerns downloads.
Source: National Archive of Ph.D. Theses.
Related items (based on users' visits)