Coatings ibridi organici-inorganici ottenuti mediante processo sol-gel e contenenti assorbitori di radiazioni uv

In questo progetto di tesi si è cercato il modo di rendere più efficace la resistenza dei materiali plastici alla fotodegradazione indotta dai raggi ultravioletti, attraverso l’utilizzo di coatings ibridi organici-inorganici preparati utilizzando il processo sol-gel. Tali rivestimenti in grado di migliorare la resistenza superficiale potrebbero essere applicati a diversi materiali ed in particolare ai policarbonati che per le loro eccellenti proprietà di trasparenza vengono molto utilizzati in illuminotecnica ed altre applicazioni per l’esterno. In particolare il lavoro ha riguardato lo studio e l’utilizzo di due assorbitori UV di tipo fenolico, il 2,2’-diidrossi-4-metossibenzofenone e il 2,2’,4,4’-tetraidrossibenzofenone. Si è provato a non collocare semplicemente tali assorbitori all’interno del coating sol-gel ma a legarli covalentemente al network tridimensionale di silani auspicando una migliore resistenza alla fotodegradazione UV-indotta. Il nostro interesse si è concentrato soprattutto sul 2,2’,4,4’-tetraidrossibenzofenone, in quanto abbiamo visto che una sua funzionalizzazione rispetto all’altro assorbitore UV risulta più semplice ed efficace.

Multiphase flow in porous media: meta-modeling techniques for sensitivity analysis and risk assessment

One of the biggest challenges that contaminant hydrogeology is facing, is how to adequately address the uncertainty associated with model predictions. Uncertainty arise from multiple sources, such as: interpretative error, calibration accuracy, parameter sensitivity and variability. This critical issue needs to be properly addressed in order to support environmental decision-making processes. In this study, we perform Global Sensitivity Analysis (GSA) on a contaminant transport model for the assessment of hydrocarbon concentration in groundwater. We provide a quantification of the environmental impact and, given the incomplete knowledge of hydrogeological parameters, we evaluate which are the most influential, requiring greater accuracy in the calibration process. Parameters are treated as random variables and a variance-based GSA is performed in a optimized numerical Monte Carlo framework. The Sobol indices are adopted as sensitivity measures and they are computed by employing meta-models to characterize the migration process, while reducing the computational cost of the analysis. The proposed methodology allows us to: extend the number of Monte Carlo iterations, identify the influence of uncertain parameters and lead to considerable saving computational time obtaining an acceptable accuracy.

Natural Wax-Based Water Vapour Barrier Coatings on PLA for MAP Food Packaging

PLA is a bio-based polymer that is obtained from renewable resources and it is very promising for a sustainable packaging manufacturing. However, its gas and vapour barrier properties are not enough to comply with the requirements of MAP packaging of fresh foods, which need specific concentration of water and oxygen to avoid spoilage and to keep the organoleptic properties unaltered throughout their shelf-life. The use of waxes from natural renewable sources such as plants (e.g., candelilla wax, carnauba wax, rice bran wax, sunflower wax) or animals (e.g., beeswax) could tackle down the permeation of water vapour through the packaging without affecting its bio-based content. The core of this work is developing wax-based coatings with enhanced thermo-mechanical properties so that they can undergo thermoforming and a proper adhesion to the PLA substrate can be ensured. Chemical modifications and crosslinking of waxes are performed to produce wax-based alkyd resins. The synthesised materials are characterised both by DSC and FTIR. Films of the wax-based alkyds are produced in order to assess their water vapour permeability.