Modellizzazione numerica e caratterizzazione sperimentale di macchine e componenti oleodinamici

Nella prima parte di questa tesi di dottorato sono presentate le attività svolte, di carattere numerico, ai fini della modellizzazione di macchine volumetriche ad ingranaggi esterni. In particolare viene dapprima presentato un modello a parametri concentrati utilizzato per l’analisi dei fenomeni che coinvolgono l’area di ingranamento della macchina; un codice di calcolo associato al modello è stato sviluppato ed utilizzato per la determinazione dell’influenza delle condizioni di funzionamento e delle caratteristiche geometriche della macchina sulle sovra-pressioni e sull’eventuale instaurarsi della cavitazione nei volumi tra i denti che si trovano nell’area di ingranamento. In seguito vengono presentati i risultati ottenuti dall’analisi del bilanciamento assiale di diverse unità commerciali, evidenziando l’influenza delle caratteristiche geometriche delle fiancate di bilanciamento; a questo proposito, viene presentato anche un semplice modello a parametri concentrati per valutare il rendimento volumetrico della macchina ad ingranaggi esterni, con l’intenzione di usare tale parametro quale indice qualitativo della bontà del bilanciamento assiale. Infine, viene presentato un modello completo della macchina ad ingranaggi esterni, realizzato in un software commerciale a parametri concentrati, che permette di analizzare nel dettaglio il funzionamento della macchina e di studiare anche l’interazione della stessa con il circuito idraulico in cui è inserita. Nella seconda parte della tesi si presentano le attività legate alla messa in funzione di due banchi prova idraulici per la caratterizzazione sperimentale di macchine volumetriche e componenti di regolazione, con particolare attenzione dedicata alla messa a punto del sistema di acquisizione e gestione dei dati sperimentali; si presentano infine i risultati di alcune prove eseguite su componenti di regolazione e macchine volumetriche.

Nonlinear/electromagnetic co-simulation of microwaves and millimeter-waves links

The Ph.D. thesis describes the simulations of different microwave links from the transmitter to the receiver intermediate-frequency ports, by means of a rigorous circuit-level nonlinear analysis approach coupled with the electromagnetic characterization of the transmitter and receiver front ends. This includes a full electromagnetic computation of the radiated far field which is used to establish the connection between transmitter and receiver. Digitally modulated radio-frequency drive is treated by a modulation-oriented harmonic-balance method based on Krylov-subspace model-order reduction to allow the handling of large-size front ends. Different examples of links have been presented: an End-to-End link simulated by making use of an artificial neural network model; the latter allows a fast computation of the link itself when driven by long sequences of the order of millions of samples. In this way a meaningful evaluation of such link performance aspects as the bit error rate becomes possible at the circuit level. Subsequently, a work focused on the co-simulation an entire link including a realistic simulation of the radio channel has been presented. The channel has been characterized by means of a deterministic approach, such as Ray Tracing technique. Then, a 2x2 multiple-input multiple-output antenna link has been simulated; in this work near-field and far-field coupling between radiating elements, as well as the environment factors, has been rigorously taken into account. Finally, within the scope to simulate an entire ultra-wideband link, the transmitting side of an ultrawideband link has been designed, and an interesting Front-End co-design technique application has been setup.

A dynamical system approach to data assimilation in chaotic models

The Assimilation in the Unstable Subspace (AUS) was introduced by Trevisan and Uboldi in 2004, and developed by Trevisan, Uboldi and Carrassi, to minimize the analysis and forecast errors by exploiting the flow-dependent instabilities of the forecast-analysis cycle system, which may be thought of as a system forced by observations. In the AUS scheme the assimilation is obtained by confining the analysis increment in the unstable subspace of the forecast-analysis cycle system so that it will have the same structure of the dominant instabilities of the system. The unstable subspace is estimated by Breeding on the Data Assimilation System (BDAS). AUS- BDAS has already been tested in realistic models and observational configurations, including a Quasi-Geostrophicmodel and a high dimensional, primitive equation ocean model; the experiments include both fixed and“adaptive”observations. In these contexts, the AUS-BDAS approach greatly reduces the analysis error, with reasonable computational costs for data assimilation with respect, for example, to a prohibitive full Extended Kalman Filter. This is a follow-up study in which we revisit the AUS-BDAS approach in the more basic, highly nonlinear Lorenz 1963 convective model. We run observation system simulation experiments in a perfect model setting, and with two types of model error as well: random and systematic. In the different configurations examined, and in a perfect model setting, AUS once again shows better efficiency than other advanced data assimilation schemes. In the present study, we develop an iterative scheme that leads to a significant improvement of the overall assimilation performance with respect also to standard AUS. In particular, it boosts the efficiency of regime’s changes tracking, with a low computational cost. Other data assimilation schemes need estimates of ad hoc parameters, which have to be tuned for the specific model at hand. In Numerical Weather Prediction models, tuning of parameters — and in particular an estimate of the model error covariance matrix — may turn out to be quite difficult. Our proposed approach, instead, may be easier to implement in operational models.

Abundance and diversity of marine microbial eukaryotes

[EN]Microeukaryotes are important ecological players in any kind of ecosystem, most notably in the ocean, and it is therefore essential to collect information about their abundance and diversity. To achieve this general goal this thesis was structured in two parts. The first part represents an effort to define our “diversity unit” from studies based on the well-known cloning and Sanger sequencing approach. Basically, we wanted to establish a solid baseline for the second part of the thesis. We started with data from one cruise (Chapter 1) and then continued with the analysis of the complete dataset of 18S DNA sequences available at that time (Chapter 2).

Stenodactilina e lanceolina: due nuove potenti “ribosome-inactivating proteins” bicatenarie. Purificazione, caratterizzazione chimico-fisica e studio dei meccanismi citotossici

Two lectins, called lanceolin and stenodactylin, were purified by affinity chromatography on CL Sepharose 6B from the caudices of the Passifloraceae Adenia lanceolata and Adenia stenodactyla, respectively. They are glycoproteins with Mw of 61,243 (lanceolin) and 63,131 daltons (stenodactylin), consisting of an enzymatic A chain linked to a larger B chain with lectin properties, with N-terminal amino acid sequences similar to that of volkensin, the toxic lectin from Adenia volkensii. These two lectins agglutinate red blood cells, inhibit protein synthesis in a cell-free system as well as in whole cells, and depurinate ribosomes and DNA, but not tRNA or poly(A). They are highly toxic to cells, in which they induce apoptosis and strongly inhibit protein synthesis, and to mice, with LD50s 8.16 mg/kg (lanceolin) and 2.76 mg/kg (stenodactylin) at 48 hours after administration. Thus, lanceolin and stenodactylin have all the properties of the toxic type 2 ribosomeinactivating proteins (RIPs). Further experiments were conducted in order to clarify the effects of these RIPs in cells. We investigated the cronological relationship between cytotoxic activity, indirectly evaluated as inhibition of protein synthesis, and loss of cell viability in NB100 cell line. The induction of apoptosis was assessed by determining caspases 3 and 7 levels, which increase 8-16 hours earlier than the beginning of protein synthesis inhibition. This suggest that the arrest of protein synthesis is not a central event in the pathway of cell poisoning by RIPs. The high toxicity and the induction of cell death only by apoptosis and not by necrosis in two muscular cell lines (TE671 and RD/18) suggest that lanceolin and stenodactylin may be potential candidates for experimental chemoablation in strabism and blepharospasm. These results show that lanceolin and stenodactylin are amongst the most potent toxins of plant origin.