Nowadays, polymer-metal hybrids are covering a broad range of advanced applications, especially in the automotive or aerospace industries where high performance and lightweight components are highly demanded. Hybrid parts may offer additional functionality regarding strength, durability, impact and wear resistance without sacrificing size or weight of the full component. However, there are still challenges regarding improving the adhesion between dissimilar materials such as metals to polymers and its composites. There is a lack of research about the influence of a post heat treatment on adhesion and durability in polymer-metal hybrids manufactured through an overmolding processing chain. There is also a need for using adhesive promoters that may offer simultaneous corrosion protection to metallic substrates in order to extend the lifecycle of the part when subjected to diverse harsh environments. In this work, two organic coatings used as adhesive promoters on steel substrates were investigated: the first one is a polyester-based powder-coat adhesive developed in the Leibniz-Institute in Dresden. The second one is a high performance anti-corrosive electrophoretic paint that has never been reported in the literature as an intermediate adhesive layer in a thermoplastic-polyurethane (TPU) overmolding processing chain. A TPU was overmolded on both pre-coated steel substrates, and the adhesion of the polymer to the metal substrate was investigated after a heat treatment (annealing), and a subsequent hygrothermal aging at different temperature-humidity conditions. The influence of the annealing process on the adhesion and durability of the multilayered specimen was investigated in depth; similarly, failure modes and lifetimes were evaluated after the hygrothermal aging. Lifetime predictions calculated from kinetic parameters for solid decomposition -obtained from thermogravimetric analysis- were validated experimentally with polyurethane-steel hybrids commonly used as district heat pipes. Adhesion of TPU on the steel substrate using both organic coatings as adhesive promoters was successful due to the contribution of new physical-chemical and mechanical interactions at the polymer-coating interface, especially after annealing at 100 °C for 20 h. Additionally, heat treated hybrids exhibited a much better performance because of the apparent increased in the anchoring density at the polymer-metal interfaces. It is conclusive that progressive failure of the multilayered specimen is strongly dependent on water diffusion rather than thermolysis of any of the components, as it was detected by FTIR, and observed in the micrographs on the artificially-aged hybrid surfaces. Finally, accelerated aging was used to correlate lifetime predictions throughout the analysis of the kinetics of degradation using TGA experiments and mechanical tests. The calculated values of the activation energy evidence that durability of the polyurethane-based polymers is affected by temperature and humidity at the conditions described in this work. Lifecycle is directly related to kinetic parameters, and especially to the activation energy, EA. This kinetic parameter for pre-aged specimens, and particularly for those subjected to higher temperature conditions, were lower when compared to the fresh polymer; as it was demonstrated that TGA analysis is a primary tool to predict lifetime for thermoplastic and thermosetting polyurethanes.

Covid-19 pandemin är den mest omfattande pandemin i modern tid. Länder världen över har infört olika typer av krav och rekommendationer för att hämma smittspridningen, däribland rekommendationer om att bära munskydd. Tidigare studier har utvecklat modeller och system för att avgöra huruvida personer bär munskydd eller ej. Syftet med denna studie är att bevisa att det är tekniskt genomförbart att utveckla och implementera en IT-artefakt på en Google Coral Dev Board som i realtid inte bara kan avgöra om en person bär munskydd eller ej, utan även kan klassificera om ett munskydd bärs korrekt samt ge återkoppling om eventuell felanvändning. Ett sådant system skulle kunna användas för att uppmuntra och påminna om korrekt användning av munskydd. Det utvecklade systemet bygger på en två-stegs-arkitektur bestående av två stycken Convolutional Neural Networks (CNN), en förtränad ansiktsdetekteringsmodell samt en egenutvecklad klassificeringsmodell som bygger på en MobileNetV3-arkitektur. Klassificeringsmodellen tränades med hjälp av ett dataset bestående av 184 572 bilder och kategoriserar ansikten i fyra olika kategorier: munskydd används korrekt, munskydd täcker ej näsa, munskydd placerat på haka och munskydd används ej. Vid 5-delad korsvalidering uppnådde klassificeringsmodellen en genomsnittlig accuracy på >0.9994. Resultaten för studien var goda och bevisar den tekniska genomförbarheten. Den utvecklade prototypen kunde med hög tillförlitlighet detektera och korrekt klassificera ansikten i en videoström. Dock kommer studien fram till att denna typ av två-stegs-arkitektur är mindre lämplig i situationer då ett större antal ansikten är synliga i bild samtidigt då tiden som krävs för att behandla en bild ökar när antalet ansikten blir fler, vilket innebär att systemet ej kommer upplevas som responsivt.

No description available.

This document describes the methods to test and measure the protective glasses used in solar panels. The next part of the dissertation covers the evolve summary for the norms of degradation tests. The purpose of this research is to scale the volume and surface electric resistivity of selected materials, as well as, specify the supposed durability of these materials. Evaluation of these features proceeds after enhanced aging by the use of dry heat. Samples of these materials were prepared with the cooperation of the company Solartec s.r.o

No description available.

<p dir="ltr">This dissertation presents the design, development, and testing environment of a low-cost, self-built ground based Counter Unmanned Aerial or Aircraft Vehicle (CUAV) system aimed at providing effective aerial security solutions in resource-limited environments. The kinetic CUAV technique was selected and identified for the current study as it is the most feasible, low-cost and reusable mitigation path as last-resort defense. Utilizing commonly available materials, including parts from online retailers and hardware stores, and incorporating a self-made pneumatic system with a reusable 3D-printed projectile and interchangeable parts design. This study explores the feasibility of cost-effective drone defense and introduces a short-range accuracy metric to evaluate the system’s trajectory behavior. Through rigorous indoor testing in Purdue University Hangar 4, the research evaluates the system's performance in terms of projectile height, range, and accuracy under various environmental conditions. A 90 degrees field of view of pneumatic launcher was tested with a small error margin comparison table to highlight on areas for potential technical refinement. TPU filament was found to be the best material for this study, with 10% infill, printing temperature in 225°C (437°F), and 70 mm/s printing speed settings for the 3D-printed projectile (4.16a). These findings in Figures 4.10, 4.11, 4.12, 4.13 will significantly advance the research of low-cost drone defense technologies by providing empirical evidence on material and design choices that will impact the system performance. Findings indicate that the system’s performance is affected by the climate temperatures, which influences its consistency in different settings. This offers practical implications for enhancing security measures against unauthorized drones using similar technology. The study fills a significant gap in current drone defense technologies with kinetic apprehension by proving that effective solutions can be both affordable and accessible. This work not only contributes to the advancement of counter drone technology but also encourages ongoing design innovation in the field, paving the way for further research and development into scalable and adaptable drone defense systems.</p>