The University of Southampton
University of Southampton Institutional Repository

Dynamics of rotating machinery: analysis, identification and control [Dinamica degli organi rotanti: analisi, identificazione e controllo]

Rustighi, Emiliano (2004) Dynamics of rotating machinery: analysis, identification and control [Dinamica degli organi rotanti: analisi, identificazione e controllo] University of Pisa, Italy, Department of Mechanical, Nuclear and Production Engineering, Doctoral Thesis , 191pp.

Record type: Thesis (Doctoral)


The performance requirements that modern rotating machines must satisfy have introduced a trend toward higher speeds and more stringent vibration levels. The basic tools to fulfil the reduction of vibrations are the analysis and the identification of rotor systems to design proper rotating elements, and the use of control devices. Supports, which are important rotor elements, are characterized with difficulty. The modulating functions identification method was applied to identify the parameters of hydrodynamic bearings. They were identified, both numerically and experimentally, with encouraging results. Moreover, the design of a magneto-rheological squeeze film damper is presented and discussed. A numerical simulation and an experimental campaign were carried out. Since the damping characteristics can be varied continuously by controlling the magnetic field, it is possible to set the optimum conditions for each operating condition. An automatic semi-active control algorithm was devised by means of fuzzy logic and genetic algorithm. Finally, the vibrations of flexible rotating disks in the presence of dry friction were studied. This is a crucial problem, common to many industrial fields. The results of an experimental investigation, carried out on a commercial paper cutting machine and on a test rig, are presented and discussed. The investigation has shown the influence of some operating and design parameters on the system dynamic behaviour.
Sommario: Gli organi rotanti di macchinari moderni sono soggetti a velocit`a sempre pi`u elevate e limiti vibratori sempre pi`u ristretti. Gli strumenti per ridurre tali vibrazioni sono l’analisi e l’identificazione dei sistemi per un opportuno dimensionamento delle parti rotanti, e l’utilizzo di appropriati smorzatori. Elementi importanti nella dinamica dei rotori ma di difficile caratterizzazione sono i supporti. Il metodo identificativo delle funzioni modulanti `e stato applicato all’identificazione dei coefficienti dinamici di cuscinetti idrodinamici. Sono stati ottenuti risultati incoraggianti sia dalle analisi numeriche che sperimentali. Inoltre `e presentato il progetto di uno smorzatore magnetoreologico a “squeezefilm”. Sono stati condotti sia una analisi numerica che una campagna sperimentale. Poich`e il coefficiente smorzante del cuscinetto pu`o essere variato con continuit`a `e stato possibile impostare le condizioni di funzionamento ottimo per ogni condizione operativa. Un controllore automatico `e stato progettato con l’uso di logica Fuzzy e algoritmi genetici. Infine sono state studiate le vibrazioni di dischi sottili rotanti in presenza di attrito secco, problema molto complesso e molto sentito in vari ambiti industriali. Sono quindi presentati e discussi i risultati di un’indagine sperimentale condotta sia su un macchinario commerciale di una cartiera che su una attrezzatura sperimentale. `Estata mostrata l’influeza di alcuni parametri sull’insorgere delle vibrazioni.

Full text not available from this repository.

More information

Published date: 2004


Local EPrints ID: 28053
PURE UUID: c73c80c9-1a32-4367-90eb-5ef21f06490f
ORCID for Emiliano Rustighi: ORCID iD

Catalogue record

Date deposited: 03 May 2006
Last modified: 17 Jul 2017 16:02

Export record


Thesis advisor: Costantino Carmignani
Thesis advisor: Paola Forte

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton:

ePrints Soton supports OAI 2.0 with a base URL of

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.