3 resultados para A, undamaged

em AMS Tesi di Dottorato - Alm@DL - Università di Bologna


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The aim of this Doctoral Thesis is to develop a genetic algorithm based optimization methods to find the best conceptual design architecture of an aero-piston-engine, for given design specifications. Nowadays, the conceptual design of turbine airplanes starts with the aircraft specifications, then the most suited turbofan or turbo propeller for the specific application is chosen. In the aeronautical piston engines field, which has been dormant for several decades, as interest shifted towards turboaircraft, new materials with increased performance and properties have opened new possibilities for development. Moreover, the engine’s modularity given by the cylinder unit, makes it possible to design a specific engine for a given application. In many real engineering problems the amount of design variables may be very high, characterized by several non-linearities needed to describe the behaviour of the phenomena. In this case the objective function has many local extremes, but the designer is usually interested in the global one. The stochastic and the evolutionary optimization techniques, such as the genetic algorithms method, may offer reliable solutions to the design problems, within acceptable computational time. The optimization algorithm developed here can be employed in the first phase of the preliminary project of an aeronautical piston engine design. It’s a mono-objective genetic algorithm, which, starting from the given design specifications, finds the engine propulsive system configuration which possesses minimum mass while satisfying the geometrical, structural and performance constraints. The algorithm reads the project specifications as input data, namely the maximum values of crankshaft and propeller shaft speed and the maximal pressure value in the combustion chamber. The design variables bounds, that describe the solution domain from the geometrical point of view, are introduced too. In the Matlab® Optimization environment the objective function to be minimized is defined as the sum of the masses of the engine propulsive components. Each individual that is generated by the genetic algorithm is the assembly of the flywheel, the vibration damper and so many pistons, connecting rods, cranks, as the number of the cylinders. The fitness is evaluated for each individual of the population, then the rules of the genetic operators are applied, such as reproduction, mutation, selection, crossover. In the reproduction step the elitist method is applied, in order to save the fittest individuals from a contingent mutation and recombination disruption, making it undamaged survive until the next generation. Finally, as the best individual is found, the optimal dimensions values of the components are saved to an Excel® file, in order to build a CAD-automatic-3D-model for each component of the propulsive system, having a direct pre-visualization of the final product, still in the engine’s preliminary project design phase. With the purpose of showing the performance of the algorithm and validating this optimization method, an actual engine is taken, as a case study: it’s the 1900 JTD Fiat Avio, 4 cylinders, 4T, Diesel. Many verifications are made on the mechanical components of the engine, in order to test their feasibility and to decide their survival through generations. A system of inequalities is used to describe the non-linear relations between the design variables, and is used for components checking for static and dynamic loads configurations. The design variables geometrical boundaries are taken from actual engines data and similar design cases. Among the many simulations run for algorithm testing, twelve of them have been chosen as representative of the distribution of the individuals. Then, as an example, for each simulation, the corresponding 3D models of the crankshaft and the connecting rod, have been automatically built. In spite of morphological differences among the component the mass is almost the same. The results show a significant mass reduction (almost 20% for the crankshaft) in comparison to the original configuration, and an acceptable robustness of the method have been shown. The algorithm here developed is shown to be a valid method for an aeronautical-piston-engine preliminary project design optimization. In particular the procedure is able to analyze quite a wide range of design solutions, rejecting the ones that cannot fulfill the feasibility design specifications. This optimization algorithm could increase the aeronautical-piston-engine development, speeding up the production rate and joining modern computation performances and technological awareness to the long lasting traditional design experiences.

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Gonocerus acuteangulatus (Hemiptera: Coreidae) è considerato uno dei principali fitofagi del nocciolo, in grado di causare con l’attività trofica pesanti perdite quali-quantitative di produzione. Nel triennio sono state quindi condotte indagini sulla bioetologia di G. acuteangulatus volte a: I) studiare comportamento alimentare ed effetti sulla produzione corilicola, II) identificare i feromoni e valutarne l’attività mediante biosaggi fisiologici e comportamentali in laboratorio, semi-campo e campo, III) rilevare le piante ospiti alternative al nocciolo. Mediante isolamento di adulti del coreide su rami di nocciolo con frutti è stata confermata l’assenza di correlazione fra entità del danno e numerosità degli individui presenti in corileto. Dalle analisi sensoriali su nocciole sane e danneggiate è emerso che le alterazioni causate delle punture di nutrizione sono rese più evidenti da conservazione e tostatura. Variazioni di tempi e temperature di tostatura potrebbero mitigare gli effetti del cimiciato. Nello studio dei feromoni, G. acuteangulatus, molto mobile nell’ambiente, è risultato poco adatto ai biosaggi in condizioni artificiali, come quelle in olfattometro e semi-campo. Le femmine sono tuttavia apparse attrattive per adulti di entrambi i sessi, mentre la miscela feromonale sintetizzata ha mostrato un’azione attrattiva, seppure non costante. Pertanto, ulteriori ripetizioni sono necessarie per convalidare questi risultati preliminari, modificando le condizioni di saggio in relazione alle caratteristiche della specie. Infine è stata accertata la preferenza del fitofago per alcune specie vegetali rispetto al nocciolo. Nel corso del triennio, popolazioni molto consistenti di G. acuteangulatus sono state rilevate su bosso, ciliegio di Santa Lucia, rosa selvatica, sanguinello, spino cervino, in corrispondenza del periodo di comparsa e maturazione dei frutti. Nell’impostazione di una strategia di difesa a basso impatto ambientale, l’attrattività di queste piante, in sinergia con eventuali feromoni di aggregazione, potrebbe essere utilmente sfruttata, per mantenere il coreide lontano dalla coltura.

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Staphylococcus aureus is a Gram positive pathogen that causes various human infections and represents one of the most common causes of bacteremia. S. aureus is able to invade a variety of non-professional phagocytes and that can survive engulfment by neutrophils, producing both secreted and surface components that compromise innate immune responses. In the contest of our study we evaluated the functional activity of vaccine specific antibodies by opsonophagocytosis killing assay (OPKA). Interestingly a low level of killing of the staphylococcal cells has been observed. In the meanwhile intracellular survival studies showed that S. aureus persisted inside phagocytes for several hours until a burst of growth after 5 hours in the supernatant. These data suggest that the strong ability of S. aureus to survive in the phagocytes could be the cause of the low killing measured by OPKA. Moreover parallel studies on HL-60 cells infected with S. aureus done by using transmission electron microscopy (TEM) interestingly showed that staphylococcal cells have an intracellular localization (endosomal vacuoles) and that they are able not only to maintain the integrity of their membrane but also to replicate inside vacuolar compartments. Finally in order to generate 3D volume of whole bacteria when present inside neutrophilic vacuoles, we collected a series of tomographic two-dimensional (2D) images by using a transmission electron microscope, generating 5 different tomograms. The three-dimensional reconstruction reveals the presence of intact bacteria within neutrophil vacuoles. The S. aureus membrane appears completely undamaged and integral in contrast with the physiological process of phagosytosis through vacuoles progression. S. aureus bacteria show a homogenous distribution of the density in all the three dimensions (X, Y, Z). All these evidences definitely explain the ability of the pathogen to survive inside the endosomal vacuoles and should be the cause of the low killing level.