Production and characterization of novel thermoplastic (nano)composite materials for additive manufacturing applications

The increasing environmental global regulations have directed scientific research towards more sustainable materials, even in the field of composite materials for additive manufacturing. In this context, the presented research is devoted to the development of thermoplastic composites for FDM application with a low environmental impact, focusing on the possibility to use wastes from different industrial processes as filler for the production of composite filaments for FDM 3D printing. In particular carbon fibers recycled by pyro-gasification process of CFRP scraps were used as reinforcing agent for PLA, a biobased polymeric matrix. Since the high value of CFs, the ability to re-use recycled CFs, replacing virgin ones, seems to be a promising option in terms of sustainability and circular economy. Moreover, wastes from different agricultural industries, i.e. wheat and rice production processes, were valorised and used as biofillers for the production of PLA-biocomposites. The integration of these agricultural wastes into PLA bioplastic allowed to obtain biocomposites with improved eco-sustainability, biodegradability, lightweight, and lower cost. Finally, the study of novel composites for FDM was extended towards elastomeric nanocomposite materials, in particular TPU reinforced with graphene. The research procedure of all projects involves the optimization of production methods of composite filaments with a particular attention on the possible degradation of polymeric matrices. Then, main thermal properties of 3D printed object are evaluated by TGA, DSC characterization. Additionally, specific heat capacity (CP) and Coefficient of Linear Thermal Expansion (CLTE) measurements are useful to estimate the attitude of composites for the prevention of typical FDM issues, i.e. shrinkage and warping. Finally, the mechanical properties of 3D printed composites and their anisotropy are investigated by tensile test using distinct kinds of specimens with different printing angles with respect to the testing direction.

micro e nano sistemi per il rilascio controllato di farmaci

Il presente lavoro di Tesi ha voluto fornire una panoramica sui dispositivi a rilascio controllato presenti nella letteratura scientifica, e dei materiali, in particolare poliesteri alifatici, principalmente impiegati a tale scopo. Particolare attenzione è stata dedicata anche alle tipologie di somministrazione e alle patologie che attualmente possono essere curate con tali dispositivi al fine di effettuare un rilascio di principio attivo in maniera mirata, controllata, e ottimizzata in relazione alla specifica terapia, al fine di migliorare quanto più possibile la compliance del paziente. In ultima istanza, sono stati riportati alcuni casi studio, relativi a sistemi copolimerici e materiali ibridi realizzati dal gruppo di ricerca della Prof.ssa Lotti, relatrice del presente elaborato, che da anni studia e realizza materiali polimerici innovativi per applicazioni biomedicali, quali ingegneria tissutale e rilascio controllato di farmaci.

Non-linear modelling of microwave devices embedding nano-ferroelectric materials for real-time reconfigurable transmitarray

In this thesis work a nonlinear model for Interdigitated Capacitors (IDCs) based on ferroelectric materials, is proposed. Through the properties of materials such as Hafnium-Zirconium Oxide (HfZrO2), it is possible to realize tunable radiofrequency (RF) circuits. In particular, the model proposed in this thesis describes the use of an IDC, realized on a High-Resistivity silicon substrate, as a phase shifter for beam-steering applications. The model is obtained starting from already present experimental measurements, through which it is possible to identify a circuit model. The model is tested for both low power values and other power values using Harmonic Balance simulations, which show an excellent convergence of the model up to 40 dBm of input power. Furthermore, an array composed by two patches operating both at 2.55 GHz, which exploits the tunable properties of the HfZrO-based IDC is proposed. At 0dBm the model shows a 47° phase shift with polarization -1 V and 1 V which leads to a 11° steering of the main lobe of the array.

Embedding Video Object Detection Capabilities on Low-Power Nano-Drones

Our objective for this thesis work was the deployment of a Neural Network based approach for video object detection on board a nano-drone. Furthermore, we have studied some possible extensions to exploit the temporal nature of videos to improve the detection capabilities of our algorithm. For our project, we have utilized the Mobilenetv2/v3SSDLite due to their limited computational and memory requirements. We have trained our networks on the IMAGENET VID 2015 dataset and to deploy it onto the nano-drone we have used the NNtool and Autotiler tools by GreenWaves. To exploit the temporal nature of video data we have tried different approaches: the introduction of an LSTM based convolutional layer in our architecture, the introduction of a Kalman filter based tracker as a postprocessing step to augment the results of our base architecture. We have obtain a total improvement in our performances of about 2.5 mAP with the Kalman filter based method(BYTE). Our detector run on a microcontroller class processor on board the nano-drone at 1.63 fps.

Valutazione sperimentale di approcci di TinyML per problemi di classificazione: un caso di studio con Arduino Nano 33 BLE

Il TinyMachineLearning (TinyML) è un campo di ricerca nato recentemente che si inserisce nel contesto dell’Internet delle cose (IoT). Mentre l’idea tradizionale dell’IoT era che i dati venissero inviati da un dispositivo locale a delle infrastrutture cloud per l’elaborazione, il paradigma TinyML d’altra parte, propone di integrare meccanismi basati sul Machine Learning direttamente all’interno di piccoli oggetti alimentati da microcontrollori (MCU ). Ciò apre la strada allo sviluppo di nuove applicazioni e servizi che non richiedono quindi l’onnipresente supporto di elaborazione dal cloud, che, come comporta nella maggior parte dei casi, consumi elevati di energia e rischi legati alla sicurezza dei dati e alla privacy. In questo lavoro sono stati svolti diversi esperimenti cercando di identificare le sfide e le opportunità correlate al TinyML. Nello specifico, vengono valutate e analizzate le prestazioni di alcuni algoritmi di ML integrati in una scheda Arduino Nano 33 BLE Sense, attraverso un framework TinyML. Queste valutazioni sono state effettuate conducendo cinque diversi macro esperimenti, ovvero riconoscimento di Colori, di Frequenze, di Vibrazioni, di Parole chiave e di Gesti. In ogni esperimento, oltre a valutare le metriche relative alla bontà dei classificatori, sono stati analizzati l’occupazione di memoria e il tasso di inferenza (tempo di predizione). I dati utilizzati per addestrare i classificatori sono stati raccolti direttamente con i sensori di Arduino Nano. I risultati mostrano che il TinyML può essere assolutamente utilizzato per discriminare correttamente tra diverse gamme di suoni, colori, modelli di vibrazioni, parole chiave e gesti aprendo la strada allo sviluppo di nuove promettenti applicazioni sostenibili.

Design of a UHF-band transceiver module for nano-satellite applications

The thesis presents the UHF band transceiver project carried out under the lead of Spacemind company. In particular reports the outcome of the first phase of the project encompassing management tasks, requirements definition and the first electrical design. Then follows the study of the UHF band antenna which develops in parallel with the transceiver. The antenna plus the transceiver will be sold together as a complete UHF telecommunication system for cubesats made by Spacemind. As a main result, this work contributed to the design and manufacturing of the first transceiver prototype.

Continual learning on nano drones

Miniaturized flying robotic platforms, called nano-drones, have the potential to revolutionize the autonomous robots industry sector thanks to their very small form factor. The nano-drones’ limited payload only allows for a sub-100mW microcontroller unit for the on-board computations. Therefore, traditional computer vision and control algorithms are too computationally expensive to be executed on board these palm-sized robots, and we are forced to rely on artificial intelligence to trade off accuracy in favor of lightweight pipelines for autonomous tasks. However, relying on deep learning exposes us to the problem of generalization since the deployment scenario of a convolutional neural network (CNN) is often composed by different visual cues and different features from those learned during training, leading to poor inference performances. Our objective is to develop and deploy and adaptation algorithm, based on the concept of latent replays, that would allow us to fine-tune a CNN to work in new and diverse deployment scenarios. To do so we start from an existing model for visual human pose estimation, called PULPFrontnet, which is used to identify the pose of a human subject in space through its 4 output variables, and we present the design of our novel adaptation algorithm, which features automatic data gathering and labeling and on-device deployment. We therefore showcase the ability of our algorithm to adapt PULP-Frontnet to new deployment scenarios, improving the R2 scores of the four network outputs, with respect to an unknown environment, from approximately [−0.2, 0.4, 0.0,−0.7] to [0.25, 0.45, 0.2, 0.1]. Finally we demonstrate how it is possible to fine-tune our neural network in real time (i.e., under 76 seconds), using the target parallel ultra-low power GAP 8 System-on-Chip on board the nano-drone, and we show how all adaptation operations can take place using less than 2mWh of energy, a small fraction of the available battery power.

A plasticidade dos amorfos: fazendo pigmentos brancos com fosfato de alumínio

A new white pigment made out of nano-structured non-crystalline aluminum phosphate was recently launched as an industrial product. Pigment opacifying properties are not intrinsic to aluminum phosphate but they arise as the result of a rare hollow particle nano-structure. This is in turn derived from the core-and-shell structure of amorphous aluminum phosphate precipitated under well-defined conditions. The new pigment is a product of the often neglected chemistry of non-crystalline ionic solids that can probably be a rich source of new successful products. The text describes a short account of the R&D activities, from the initial ideas to the present.

Influence of implant surfaces on osseointegration

The biological fixation between the dental implant surfaces and jaw bones should be considered a prerequisite for the long-term success of implant-supported prostheses. In this context, the implant surface modifications gained an important and decisive place in implant research over the last years. As the most investigated topic in, it aided the development of enhanced dental treatment modalities and the expansion of dental implant use. Nowadays, a large number of implant types with a great variety of surface properties and other features are commercially available and have to be treated with caution. Although surface modifications have been shown to enhance osseointegration at early implantation times, for example, the clinician should look for research evidence before selecting a dental implant for a specific use. This paper reviews the literature on dental implant surfaces by assessing in vitro and in vivo studies to show the current perspective of implant development. The review comprises quantitative and qualitative results on the analysis of bone-implant interface using micro and nano implant surface topographies. Furthermore, the perspective of incorporating biomimetic molecules (e.g.: peptides and bone morphogenetic proteins) to the implant surface and their effects on bone formation and remodeling around implants are discussed.

Study of the surface hardness and modulus of elasticity of conventional and microwave-cured acrylic resins

The aim of this study was to evaluate the following acrylic resins: Clássico®, QC-20® and Lucitone®, recommended specifically for thermal polymerization, and Acron MC® and VIPI-WAVE®, made for polymerization by microwave energy. The resins were evaluated regarding their surface nanohardness and modulus of elasticity, while varying the polymerization time recommended by the manufacturer. They were also compared as to the presence of water absorbed by the samples. The technique used was nanoindentation, using the Nano Indenter XP®, MTS. According to an intra-group analysis, when using the polymerization time recommended by the manufacturer, a variation of 0.14 to 0.23 GPa for nanohardness and 2.61 to 3.73 GPa for modulus of elasticity was observed for the thermally polymerized resins. The variation for the resins made for polymerization by microwave energy was 0.15 to 0.22 GPa for nanohardness and 2.94 to 3.73 GPa for modulus of elasticity. The conclusion was that the Classico® resin presented higher nanohardness and higher modulus of elasticity values when compared to those of the same group, while Acron MC® presented the highest values for the same characteristics when compared to those of the same group. The water absorption evaluation showed that all the thermal polymerization resins, except for Lucitone®, presented significant nanohardness differences when submitted to dehydration or rehydration, while only Acron MC® presented no significant differences when submitted to a double polymerization time. Regarding the modulus of elasticity, it was observed that all the tested materials and products, except for Lucitone®, showed a significant increase in modulus of elasticity when submitted to a lack of hydration.

Mechanical strength and thermal conductivity of low-porosity gypsum plates

The thermal conductivity and mechanical strength of gypsum and gypsum-cellulose plates made from commercial plaster by a new process have been measured. The gypsum parts made by the new process, 'novogesso', have high mechanical strength and low porosity. The gypsum strength derives from both the high aspect ratio of the gypsum crystals and the strong adhesion among them by nano-flat layers of confined water, which behaves as supercooled water. Another contribution to the strength comes from the nano-flatness of the lateral surfaces of the gypsum single crystals. The bending and compression strengths, σB and σc, of gypsum plates prepared by this new technique can be as high as 30 and 100 MPa, respectively. The way gypsum plates have been assembled as well as their low thermal conductivity allowed for the construction of a low-cost experimental house with thermal and acoustic comfort.

Preparation of PVP hydrogel nanoparticles using lecithin vesicles

Hydrogels micro, sub-micro and nanoparticles are of great interest for drug encapsulation and delivery or as embolotherapic agents. In this work it is described the preparation of nano and sub-microparticles of pre-formed, high molecular weight and monomer free poly(N-vinyl-2-pyrrolidone) encapsulated inside the core of lecithin vesicles. The hydrogel particles are formed with a very narrow diameter distribution, of about 800 nm, and a moderate swelling ratio, of approximately 10.

Atenção domiciliar como mudança do modelo tecnoassistencial

OBJETIVO: Analisar práticas de atenção domiciliar de serviços ambulatoriais e hospitalares e sua constituição como rede substitutiva de cuidado em saúde. PROCEDIMENTOS METODOLÓGICOS: Estudo qualitativo que analisou, com base na metodologia de caso traçador, quatro serviços ambulatoriais de atenção domiciliar da Secretaria Municipal de Saúde e um serviço de um hospital filantrópico do município de Belo Horizonte, MG, entre 2005 e 2007. Foram realizadas entrevistas com gestores e equipes dos serviços de atenção domiciliar, análise de documentos e acompanhamento de casos com entrevistas a pacientes e cuidadores. A análise foi orientada pelas categorias analíticas integração da atenção domiciliar na rede de saúde e modelo tecnoassistencial. ANÁLISE DOS RESULTADOS: A implantação da atenção domiciliar foi precedida por decisão político-institucional tanto com orientação racionalizadora, buscando a diminuição de custos, quanto com vistas à reordenação tecnoassistencial das redes de cuidados. Essas duas orientações encontram-se em disputa e constituem dificuldades para conciliação dos interesses dos diversos atores envolvidos na rede e na criação de espaços compartilhados de gestão. Pôde-se identificar a inovação tecnológica e a autonomia das famílias na implementação dos projetos de cuidado. As equipes mostraram-se coesas, construindo no cotidiano do trabalho novas formas de integrar os diferentes olhares para transformação das práticas em saúde. Foram observados desafios na proposta de integrar os diferentes serviços de caráter substitutivo do cuidado ao limitar a capacidade da atenção domiciliar de mudar o modelo tecnoassistencial. CONCLUSÕES: A atenção domiciliar possui potencial para constituição de uma rede substitutiva ao produzir novos modos de cuidar que atravessam os projetos dos usuários, dos familiares, da rede social e dos trabalhadores da atenção domiciliar. A atenção domiciliar como modalidade substitutiva de atenção à saúde requer sustentabilidade política, conceitual e operacional, bem como reconhecimento dos novos arranjos e articulação das propostas em curso.

Avaliação da qualidade da atenção básica utilizando a doença respiratória da infância como traçador, em um distrito sanitário do município de São Paulo

OBJECTIVES: to assess quality of the primary care using respiratory diseases as a tracer. METHODS: the evaluative approach is based on Donabedian's referencial connected to Kessner's tracers methodology. The sample is formed by 768 children from 0 to 5 years old, presenting respiratory symptoms, attended at seven basic health units from the Sanitary District of Brasilândia, in the city of São Paulo, State of São Paulo, Brazil. Medical registrations and interviews with mothers or responsibles were the information sources. RESULTS: more accurate child medical examination evidences significant association with favorable evolution, mainly on moderate clinical forms. Although aspects related to the accessibility demonstrated by the health team seem to influence decisively on care quality evaluated by users, mainly the medical doctor. Mothers education level appears to have no influence in the favorable evolution. CONCLUSIONS: the tracer methodology has the potentiality to facilitate the critical analysis of the health care. It is important to focus on the outcome of the health care. The children respiratory diseases are important tracer for the quality assessment on health services.