Heat treatment of steels is a process of fundamental importance in tailoring the properties of a material to the desired application; developing a model able to describe such process would allow to predict the microstructure obtained from the treatment and the consequent mechanical properties of the material. A steel, during a heat treatment, can undergo two different kinds of phase transitions [p.t.]: diffusive (second order p.t.) and displacive (first order p.t.); in this thesis, an attempt to describe both in a thermodynamically consistent framework is made; a phase field, diffuse interface model accounting for the coupling between thermal, chemical and mechanical effects is developed, and a way to overcome the difficulties arising from the treatment of the non-local effects (gradient terms) is proposed. The governing equations are the balance of linear momentum equation, the Cahn-Hilliard equation and the balance of internal energy equation. The model is completed with a suitable description of the free energy, from which constitutive relations are drawn. The equations are then cast in a variational form and different numerical techniques are used to deal with the principal features of the model: time-dependency, non-linearity and presence of high order spatial derivatives. Simulations are performed using DOLFIN, a C++ library for the automated solution of partial differential equations by means of the finite element method; results are shown for different test-cases. The analysis is reduced to a two dimensional setting, which is simpler than a three dimensional one, but still meaningful.

Combustion control is one of the key factors to obtain better performances and lower pollutant emissions for diesel, spark ignition and HCCI engines. An algorithm that allows estimating, as an example, the mean indicated torque for each cylinder, could be easily used in control strategies, in order to carry out cylinders trade-off, control the cycle to cycle variation, or detect misfires. A tool that allows evaluating the 50% of Mass Fraction Burned (MFB50), or the net Cumulative Heat Release (CHRNET), or the ROHR peak value (Rate of Heat Release), could be used to optimize spark advance or to detect knock in gasoline engines and to optimize injection pattern in diesel engines. Modern management systems are based on the control of the mean indicated torque produced by the engine: they need a real or virtual sensor in order to compare the measured value with the target one. Many studies have been performed in order to obtain an accurate and reliable over time torque estimation. The aim of this PhD activity was to develop two different algorithms: the first one is based on the instantaneous engine speed fluctuations measurement. The speed signal is picked up directly from the sensor facing the toothed wheel mounted on the engine for other control purposes. The engine speed fluctuation amplitudes depend on the combustion and on the amount of torque delivered by each cylinder. The second algorithm processes in-cylinder pressure signals in the angular domain. In this case a crankshaft encoder is not necessary, because the angular reference can be obtained using a standard sensor wheel. The results obtained with these two methodologies are compared in order to evaluate which one is suitable for on board applications, depending on the accuracy required.

In gasoline Port Fuel Injection (PFI) and Direct Injection (GDI) internal combustion engines, the liquid fuel might be injected into a gaseous ambient in a superheated state, resulting in flash boiling of the fuel. The importance to investigate and predict such a process is due to the influence it has on the liquid fuel atomization and vaporization and thus on combustion, with direct implications on engine performances and exhaust gas emissions. The topic of the present PhD research involves the numerical analysis of the behaviour of the superheated fuel during the injection process, in high pressure injection systems like the ones equipping GDI engines. Particular emphasis is on the investigation of the effects of the fuel superheating degree on atomization dynamics and spray characteristics. The present work is a look at the flash evaporation and flash boiling modeling, from an engineering point of view, addressed to keep the complex physics involved as simple as possible, however capturing the main characteristics of a superheated fuel injection.

Il presente lavoro si occupa dell’analisi numerica di combustione di gas a basso potere calorifico (gas di sintesi derivanti da pirolisi di biomasse). L’analisi è stata condotta su due principali geometrie di camera di combustione. La prima è un bruciatore sperimentale da laboratorio adatto allo studio delle proprietà di combustione del singas. Esso è introdotto in camera separatamente rispetto ad una corrente d’aria comburente al fine di realizzare una combustione non-premiscelata diffusiva in presenza di swirl. La seconda geometria presa in considerazione è la camera di combustione anulare installata sulla microturbina a gas Elliott TA 80 per la quale si dispone di un modello installato al banco al fine dell’esecuzione di prove sperimentali. I principali obbiettivi conseguiti nello studio sono stati la determinazione numerica del campo di moto a freddo su entrambe le geometrie per poi realizzare simulazioni in combustione mediante l’utilizzo di diversi modelli di combustione. In particolare è stato approfondito lo studio dei modelli steady laminar flamelet ed unsteady flamelet con cui sono state esaminate le distribuzioni di temperatura e delle grandezze tipiche di combustione in camera, confrontando i risultati numerici ottenuti con altri modelli di combustione (Eddy Dissipation ed ED-FR) e con i dati sperimentali a disposizione. Di importanza fondamentale è stata l’analisi delle emissioni inquinanti, realizzata per entrambe le geometrie, che mostra l’entità di tali emissioni e la loro tipologia. Relativamente a questo punto, il maggior interesse si sposta sui risultati ottenuti numericamente nel caso della microturbina, per la quale sono a disposizione misure di emissione ottenute sperimentalmente. Sempre per questa geometria è stato inoltre eseguito il confronto fra microturbina alimentata con singas a confronto con le prestazioni emissive ottenute con il gas naturale. Nel corso dei tre anni, l’esecuzione delle simulazioni e l’analisi critica dei risultati ha suggerito alcuni limiti e semplificazioni eseguite sulle griglie di calcolo realizzate per lo studio numerico. Al fine di eliminare o limitare le semplificazioni o le inesattezze, le geometrie dei combustori e le griglie di calcolo sono state migliorate ed ottimizzate. In merito alle simulazioni realizzate sulla geometria del combustore della microturbina Elliott TA 80 è stata condotta dapprima l’analisi numerica di combustione a pieno carico per poi analizzare le prestazioni ai carichi parziali. Il tutto appoggiandosi a tecniche di simulazione RANS ed ipotizzando alimentazioni a gas naturale e singas derivato da biomasse. Nell’ultimo anno di dottorato è stato dedicato tempo all’approfondimento e allo studio della tecnica Large Eddy Simulation per testarne una applicazione alla geometria del bruciatore sperimentale di laboratorio. In tale simulazione è stato implementato l’SGS model di Smagorinsky-Lilly completo di combustione con modelli flamelet. Dai risultati sono stati estrapolati i profili di temperatura a confronto con i risultati sperimentali e con i risultati RANS. Il tutto in diverse simulazioni a diverso valore del time-step imposto. L’analisi LES, per quanto migliorabile, ha fornito risultati sufficientemente precisi lasciando per il futuro la possibilità di approfondire nuovi modelli adatti all’applicazione diretta sulla MTG.

The main objective of this work was to investigate the impact of different hybridization concepts and levels of hybridization on fuel economy of a standard road vehicle where both conventional and non-conventional hybrid architectures are treated exactly in the same way from the point of view of overall energy flow optimization. Hybrid component models were developed and presented in detail as well as the simulations results mainly for NEDC cycle. The analysis was performed on four different parallel hybrid powertrain concepts: Hybrid Electric Vehicle (HEV), High Speed Flywheel Hybrid Vehicle (HSF-HV), Hydraulic Hybrid Vehicle (HHV) and Pneumatic Hybrid Vehicle (PHV). In order to perform equitable analysis of different hybrid systems, comparison was performed also on the basis of the same usable system energy storage capacity (i.e. 625kJ for HEV, HSF and the HHV) but in the case of pneumatic hybrid systems maximal storage capacity was limited by the size of the systems in order to comply with the packaging requirements of the vehicle. The simulations were performed within the IAV Gmbh - VeLoDyn software simulator based on Matlab / Simulink software package. Advanced cycle independent control strategy (ECMS) was implemented into the hybrid supervisory control unit in order to solve power management problem for all hybrid powertrain solutions. In order to maintain State of Charge within desired boundaries during different cycles and to facilitate easy implementation and recalibration of the control strategy for very different hybrid systems, Charge Sustaining Algorithm was added into the ECMS framework. Also, a Variable Shift Pattern VSP-ECMS algorithm was proposed as an extension of ECMS capabilities so as to include gear selection into the determination of minimal (energy) cost function of the hybrid system. Further, cycle-based energetic analysis was performed in all the simulated cases, and the results have been reported in the corresponding chapters.

The increase in environmental and healthy concerns, combined with the possibility to exploit waste as a valuable energy resource, has led to explore alternative methods for waste final disposal. In this context, the energy conversion of Municipal Solid Waste (MSW) in Waste-To-Energy (WTE) power plant is increasing throughout Europe, both in terms of plants number and capacity, furthered by legislative directives. Due to the heterogeneous nature of waste, some differences with respect to a conventional fossil fuel power plant have to be considered in the energy conversion process. In fact, as a consequence of the well-known corrosion problems, the thermodynamic efficiency of WTE power plants typically ranging in the interval 25% ÷ 30%. The new Waste Framework Directive 2008/98/EC promotes production of energy from waste introducing an energy efficiency criteria (the so-called “R1 formula”) to evaluate plant recovery status. The aim of the Directive is to drive WTE facilities to maximize energy recovery and utilization of waste heat, in order to substitute energy produced with conventional fossil fuels fired power plants. This calls for novel approaches and possibilities to maximize the conversion of MSW into energy. In particular, the idea of an integrated configuration made up of a WTE and a Gas Turbine (GT) originates, driven by the desire to eliminate or, at least, mitigate limitations affecting the WTE conversion process bounding the thermodynamic efficiency of the cycle. The aim of this Ph.D thesis is to investigate, from a thermodynamic point of view, the integrated WTE-GT system sharing the steam cycle, sharing the flue gas paths or combining both ways. The carried out analysis investigates and defines the logic governing plants match in terms of steam production and steam turbine power output as function of the thermal powers introduced.

Modern Internal Combustion Engines are becoming increasingly complex in terms of their control systems and strategies. The growth of the algorithms’ complexity results in a rise of the number of on-board quantities for control purposes. In order to improve combustion efficiency and, simultaneously, limit the amount of pollutant emissions, the on-board evaluation of two quantities in particular has become essential; namely indicated torque produced by the engine and the angular position where 50% of fuel mass injected over an engine cycle is burned (MFB50). The above mentioned quantities can be evaluated through the measurement of in-cylinder pressure. Nonetheless, at the time being, the installation of in-cylinder pressure sensors on vehicles is extremely uncommon mainly because of measurement reliability and costs. This work illustrates a methodological approach for the estimation of indicated torque and MFB50 that is based on the engine speed fluctuation measurement. This methodology is compatible with the typical on-board application restraints. Moreover, it requires no additional costs since speed can be measured using the system already mounted on the vehicle, which is made of a magnetic pick-up faced to a toothed wheel. The estimation algorithm consists of two main parts: first, the evaluation of indicated torque fluctuation based on speed measurement and secondly, the evaluation of the mean value of the indicated torque (over an engine cycle) and MFB50 by using the relationship with the indicated torque harmonic and other engine quantities. The procedure has been successfully applied to an L4 turbocharged Diesel engine mounted on-board a vehicle.

A control-oriented model of a Dual Clutch Transmission was developed for real-time Hardware In the Loop (HIL) applications, to support model-based development of the DCT controller. The model is an innovative attempt to reproduce the fast dynamics of the actuation system while maintaining a step size large enough for real-time applications. The model comprehends a detailed physical description of hydraulic circuit, clutches, synchronizers and gears, and simplified vehicle and internal combustion engine sub-models. As the oil circulating in the system has a large bulk modulus, the pressure dynamics are very fast, possibly causing instability in a real-time simulation; the same challenge involves the servo valves dynamics, due to the very small masses of the moving elements. Therefore, the hydraulic circuit model has been modified and simplified without losing physical validity, in order to adapt it to the real-time simulation requirements. The results of offline simulations have been compared to on-board measurements to verify the validity of the developed model, that was then implemented in a HIL system and connected to the TCU (Transmission Control Unit). Several tests have been performed: electrical failure tests on sensors and actuators, hydraulic and mechanical failure tests on hydraulic valves, clutches and synchronizers, and application tests comprehending all the main features of the control performed by the TCU. Being based on physical laws, in every condition the model simulates a plausible reaction of the system. The first intensive use of the HIL application led to the validation of the new safety strategies implemented inside the TCU software. A test automation procedure has been developed to permit the execution of a pattern of tests without the interaction of the user; fully repeatable tests can be performed for non-regression verification, allowing the testing of new software releases in fully automatic mode. / Un modello orientato al controllo di una trasmissione a doppia frizione (DCT) è stato sviluppato per applicazioni real-time Hardware In the Loop (HIL) come supporto allo sviluppo model-based della centralina elettronica di controllo (TCU, Transmission Control Unit). Il modello è un tentativo innovativo di riprodurre le dinamiche del sistema di attuazione, molto veloci, mantenendo un passo di simulazione sufficientemente grande per applicazioni real-time. Il modello comprende una descrizione dettagliata del circuito idraulico, delle frizioni, dei sincronizzatori e delle marce, e un modello semplificato del veicolo e del motore. Poiché l’olio che circola nel sistema ha un modulo di comprimibilità molto elevato, le dinamiche di pressione sono molto veloci, causando instabilità durante una simulazione real-time; lo stesso problema riguarda la dinamica delle servo valvole, a causa delle piccole masse degli elementi in movimento. Perciò, il modello è stato modificato e semplificato senza perdere validità fisica, per adattarlo alla necessità di una simulazione real-time. I risultati di simulazioni offline sono stati confrontati con misure effettuate in vettura per verificare la validità del modello sviluppato, che è stato poi implementato all’interno di un sistema HIL e connesso alla TCU. Una serie di test è stata eseguita al simulatore: test riguardanti guasti elettrici su sensori ed attuatori, guasti idraulici e meccanici su valvole, frizioni e sincronizzatori, e test applicativi comprendenti tutte le principali funzionalità del controllo. Essendo basato su leggi fisiche, il modello simula una reazione plausibile del sistema in ogni condizione. Il primo uso intensivo del simulatore ha portato alla validazione delle nuove strategie di safety implementate in TCU. Una procedura di automatizzazione dei test è stata sviluppata per permettere l’esecuzione di un pattern di test senza l’interazione dell’utente; test completamente ripetibili possono essere eseguiti per verifiche di non regressione, permettendo di testare nuove release software in modo completamente automatico.

DI Diesel engine are widely used both for industrial and automotive applications due to their durability and fuel economy. Nonetheless, increasing environmental concerns force that type of engine to comply with increasingly demanding emission limits, so that, it has become mandatory to develop a robust design methodology of the DI Diesel combustion system focused on reduction of soot and NOx simultaneously while maintaining a reasonable fuel economy. In recent years, genetic algorithms and CFD three-dimensional combustion simulations have been successfully applied to that kind of problem. However, combining GAs optimization with actual CFD three-dimensional combustion simulations can be too onerous since a large number of calculations is usually needed for the genetic algorithm to converge, resulting in a high computational cost and, thus, limiting the suitability of this method for industrial processes. In order to make the optimization process less time-consuming, CFD simulations can be more conveniently used to generate a training set for the learning process of an artificial neural network which, once correctly trained, can be used to forecast the engine outputs as a function of the design parameters during a GA optimization performing a so-called virtual optimization. In the current work, a numerical methodology for the multi-objective virtual optimization of the combustion of an automotive DI Diesel engine, which relies on artificial neural networks and genetic algorithms, was developed.

I moderni motori a combustione interna diventano sempre più complessi L'introduzione della normativa antinquinamento EURO VI richiederà una significativa riduzione degli inquinanti allo scarico. La maggiore criticità è rappresentata dalla riduzione degli NOx per i motori Diesel da aggiungersi a quelle già in vigore con le precedenti normative. Tipicamente la messa a punto di una nuova motorizzazione prevede una serie di test specifici al banco prova. Il numero sempre maggiore di parametri di controllo della combustione, sorti come conseguenza della maggior complessità meccanica del motore stesso, causa un aumento esponenziale delle prove da eseguire per caratterizzare l'intero sistema. L'obiettivo di questo progetto di dottorato è quello di realizzare un sistema di analisi della combustione in tempo reale in cui siano implementati diversi algoritmi non ancora presenti nelle centraline moderne. Tutto questo facendo particolare attenzione alla scelta dell'hardware su cui implementare gli algoritmi di analisi. Creando una piattaforma di Rapid Control Prototyping (RCP) che sfrutti la maggior parte dei sensori presenti in vettura di serie; che sia in grado di abbreviare i tempi e i costi della sperimentazione sui motopropulsori, riducendo la necessità di effettuare analisi a posteriori, su dati precedentemente acquisiti, a fronte di una maggior quantità di calcoli effettuati in tempo reale. La soluzione proposta garantisce l'aggiornabilità, la possibilità di mantenere al massimo livello tecnologico la piattaforma di calcolo, allontanandone l'obsolescenza e i costi di sostituzione. Questa proprietà si traduce nella necessità di mantenere la compatibilità tra hardware e software di generazioni differenti, rendendo possibile la sostituzione di quei componenti che limitano le prestazioni senza riprogettare il software. / Modern Internal Combustion Engines are becoming increasingly complex. The introduction of the EURO VI emission control legislation will require a significant reduction of polluting exhaust. The most critical is the reduction of NOx for diesel engines to be added to those already in force with the last legislation. The development of a new engine includes a series of specific tests on the test bench. The growing number of control parameters of the combustion, have a rise as a consequence of the greater mechanical complexity of the engine itself, causes an exponential increase of the tests to be performed to characterize the entire system. The PhD project is to development on board system analysis of combustion in real time where different algorithms, not yet available in modern control units, are implemented. All this with particular attention to the choice of hardware on which to implement the algorithms of analysis. Creating a platform for Rapid Control Prototyping (RCP) that exploits: most of the sensors in series production car, which is able to reduce the time and cost of experimentation on the powertrain. The proposed solution ensures upgradeability, the ability to maintain a maximum level of technology the computing platform, reduced obsolescence and replacement costs. This property results in the need to maintain the compatibility between different generations of hardware and software, making possible the replacement of those components that limit the performance without redesigning the software.