6 resultados para Nanostructured sensors

em Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco


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Nanostructured FeNi-based multilayers are very suitable for use as magnetic sensors using the giant magneto-impedance effect. New fields of application can be opened with these materials deposited onto flexible substrates. In this work, we compare the performance of samples prepared onto a rigid glass substrate and onto a cyclo olefin copolymer flexible one. Although a significant reduction of the field sensitivity is found due to the increased effect of the stresses generated during preparation, the results are still satisfactory for use as magnetic field sensors in special applications. Moreover, we take advantage of the flexible nature of the substrate to evaluate the pressure dependence of the giant magneto-impedance effect. Sensitivities up to 1 Omega/Pa are found for pressures in the range of 0 to 1 Pa, demostrating the suitability of these nanostructured materials deposited onto flexible substrates to build sensitive pressure sensors.

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[EN] The aims of this work were (i) to evaluate the potential of nanostructured lipid carriers (NLCs) as a tool to 24 enhance the oral bioavailability of poorly soluble compounds using saquinavir (SQV), a BCS class IV drug 25 and P-gp substrate as a model drug, and (ii) to study NLC transport mechanisms across the intestinal barrier. 26 Three different NLC formulations were evaluated. SQV transport across Caco-2 monolayers was enhanced up 27 to 3.5-fold by NLCs compared to SQV suspension. M cells did not enhance the transport of NLCs loaded with 28 SQV. The size and amount of surfactant in the NLCs influenced SQV's permeability, the transcytosis pathway 29 and the efflux of SQV by P-gp. An NLC of size 247 nm and 1.5% (w/v) surfactant content circumvented P-gp 30 efflux and used both caveolae- and clathrin-mediated transcytosis, in contrast to the other NLC formulations, 31 which used only caveolae-mediated transcytosis. By modifying critical physicochemical parameters of the 32 NLC formulation, we were thus able to overcome the P-gp drug efflux and alter the transcytosis mechanism 33 of the nanoparticles. These findings support the use of NLCs approaches for oral delivery of poorly 34 water-soluble P-gp substrates.

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We demonstrate the influence of the relative humidity (RH) on the wavelength of fiber Bragg grating sensors (FBGS), performing tests with five FBGS at different humidity and temperature conditions. These tests were performed in a climate chamber whose RH changes according to a scheduled profile from 30% to 90%, in steps of 10%. These profiles were repeated for a wide range of temperatures from to , in steps of . Two different types of instrumentation methods have been tested, spot welding and epoxy bonding, in two different materials, steel and carbon fiber reinforced polymer (CFRP). We discuss the results for each type of sensor and instrumentation method by analyzing the linearity of the Bragg wavelength with RH and temperature.

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La fotovoltaica orgánica es una tecnología solar emergente que todavía no ha entrado en el mercado. El objetivo de esta tesis ha sido acercar un poco más la industrialización de dicha tecnología mediante el incremento de la eficiencia y la durabilidad de estos dispositivos solares. Para la consecución de dicho objetivo se identificaron las limitaciones existentes y se diseñó una hora de ruta con diversas estrategias para poder superar cada uno de los problemas. Así, mediante un exhaustivo control de la nano morfología del film fotoactivo y la introducción de electrodos nanoestructurados se ha conseguido incrementar la eficiencia. La sustitución de los electrodos estándares por nuevos electrodos basados en óxidos metálicos confiere durabilidad al sistema. Por último, la sustitución del óxido de indio y estaño como electrodo transparente por nanohilos metálicos de plata habilita la posibilidad de fabricar dispositivos solares flexibles de bajo coste.

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Grinding is an advanced machining process for the manufacturing of valuable complex and accurate parts for high added value sectors such as aerospace, wind generation, etc. Due to the extremely severe conditions inside grinding machines, critical process variables such as part surface finish or grinding wheel wear cannot be easily and cheaply measured on-line. In this paper a virtual sensor for on-line monitoring of those variables is presented. The sensor is based on the modelling ability of Artificial Neural Networks (ANNs) for stochastic and non-linear processes such as grinding; the selected architecture is the Layer-Recurrent neural network. The sensor makes use of the relation between the variables to be measured and power consumption in the wheel spindle, which can be easily measured. A sensor calibration methodology is presented, and the levels of error that can be expected are discussed. Validation of the new sensor is carried out by comparing the sensor's results with actual measurements carried out in an industrial grinding machine. Results show excellent estimation performance for both wheel wear and surface roughness. In the case of wheel wear, the absolute error is within the range of microns (average value 32 mu m). In the case of surface finish, the absolute error is well below R-a 1 mu m (average value 0.32 mu m). The present approach can be easily generalized to other grinding operations.

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We demonstrate the influence of the relative humidity (RH) on the wavelength of fiber Bragg grating sensors (FBGS), performing tests with five FBGS at different humidity and temperature conditions. These tests were performed in a climate chamber whose RH changes according to a scheduled profile from 30% to 90%, in steps of 10%. These profiles were repeated for a wide range of temperatures from 10 degrees C to 70 degrees C, in steps of 10 degrees C. Two different types of instrumentation methods have been tested, spot welding and epoxy bonding, in two different materials, steel and carbon fiber reinforced polymer (CFRP). We discuss the results for each type of sensor and instrumentation method by analyzing the linearity of the Bragg wavelength with RH and temperature.