Dissertations / Theses on the topic 'Electrical conductivity'
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Zhang, Yuxi Ph D. Massachusetts Institute of Technology. "Electrospun nanofibers with tunable electrical conductivity." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/81690.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (p. 114-117).
Electrospinning is a convenient method to produce nanofibers with controlled diameters on the order of tens to hundreds of nanometers. The resulting nonwoven fiber mats are lightweight, highly porous, and have high specific surface areas around 1 to 100 m2/g. Combined with the high electrical conductivity of intrinsically conductive polymers, conductive electrospun fiber mats are promising for a variety of applications, such as multifunctional textiles, resistance-based sensors, flexible reversibly hydrophobic surfaces, organic photovoltaics, scaffolds for tissue engineering, and conductive substrates for surface functionalization and modification Intrinsically conductive polymers, such as polyaniline (PAni), however, are relatively hard to Intrinsically conductive polymers, such as polyaniline (PAni), however, are relatively hard to process compared to most other polymers. They have fairly rigid backbones due to the high aromaticity, and are usually available only in relatively low molecular weight forms, so that the elasticity of their solutions is insufficient for it to be electrospun directly into fibers. Considerable amount of recent work has been reported trying to make electrospun polymeric nanofibers with intrinsically conductive polymers or composites. However, a large fraction of the work only showed the morphology and did not characterize the actual performance of these fibers, nor did they test the variability of the fibers and mats from a wide range of processing conditions and resulting structures. Therefore, this thesis aims to make a comprehensive study of the electrical tunability of electrospun fibers with intrinsically conductive polymers and its composites, to establish a clear processing-structure-property relationship for these fibers and fiber mats, and to test the resultant fibers with the targeted applications such as gas sensing. We have first developed a reliable method to characterize fiber electrical conductivity using interdigitated electrodes (IDE) and high-impedance analyzers with contact-resistance corrections, and applied to electrospun conductive polymer nanofibers. This method was shown to be reliable and sensitive, as opposed to some of the other methods that have been reported in literature. Facing with the challenge of overcoming the relatively low elasticity of the conductive polymer solutions to achieve electrospinnability, we have fabricated electrospun fibers of PAni and poly(3,4-ethylenedioxythiophene) (PEDOT), blended with poly(ethylene oxide) (PEO) or poly(methyl methacrylate) (PMMA) over a range of compositions. Pure PAni (doped with (+)- camphor-i 0-sulfonic acid (HCSA)) fibers were successfully fabricated for the first time by co-axial electrospinning and subsequent removal of the PMMA shell by dissolution. This allowed for the pure electrospun PAni/HCSA fibers to be tested for electrical performances and its enhancement as well as gas sensing application. The conductivities of the PAni-blend fibers are found to increase exponentially with the weight percent of doped PAni in the fibers, to as high as 50 ± 30 S/cm for as-electrospun fibers of 100% PAni/HCSA. This fiber conductivity of the pure doped PAni fibers was found to increase to 130 ± 40 S/cm with increasing molecular orientation, achieved through solid state drawing. The experimental results thus support the idea that enhanced molecular alignment within electrospun fibers, both during the electrospinning process and subsequent post-treatment, contributes positively to increasing electrical conductivity of conductive polymers. Using a model that accounts for the effects of intrinsic fiber conductivity (including both composition and molecular orientation), mat porosity, and the fiber orientation distribution within the mat, calculated mat conductivities are obtained in quantitative agreement with the mat conductivities measured experimentally. This correlation, along with the reliable method of fiber conductivity measurement by IDE, presents a way to resolve some of the inconsistencies in the literature about reporting electrical conductivity values of electrospun fibers and fiber mats. Pure PAni fibers with different levels of doping were also fabricated by co-axial electrospinning and subsequent removal of the shell by dissolution, and shown to exhibit a large range of fiber electrical conductivities, increasing exponentially with increasing ratio of dopant to PAni. These fibers are found to be very effective nanoscale chemiresistive sensors for both ammonia and nitrogen dioxide gases, thanks to this large range of available electrical conductivities. Both sensitivity and response times are shown to be excellent, with response ratios up to 58 for doped PAni sensing of ammonia and up to more than 105 for nitrogen dioxide sensing by undoped PAni fibers. The characteristic times for the gas sensing are shown to be on the order of 1 to 2 minutes. We have also developed a generic time-dependent reaction-diffusion model that accounts for reaction kinetics, reaction equilibrium, and diffusivity parameters, and show that the model can be used to extract parameters from experimental results and used to predict and optimize the gas sensing of fibers under different constraints without the need to repeat experiments under different fiber and gas conditions.
by Yuxi Zhang.
Ph.D.
Kim, Yeon Seok. "Electrical conductivity of segregated network polymer nanocomposites." [College Station, Tex. : Texas A&M University, 2007. http://hdl.handle.net/1969.1/ETD-TAMU-1880.
Full textFisher, Craig Andrew James. "Electrical conductivity of brownmillerite-structured oxide ceramics." Thesis, University of Oxford, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.318598.
Full textTibaldi, Pier Silvio. "Self-Assembly and Electrical Conductivity of Colloids." Thesis, Uppsala universitet, Materialfysik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-272198.
Full textHundermark, Rodney. "The electrical conductivity of melter type slags." Master's thesis, University of Cape Town, 2003. http://hdl.handle.net/11427/5316.
Full textThis thesis details an investigation into the factors affecting the electrical conductivity of slags containing some or all of the following components: Ah03, cae, Cr203, FeOx, MgO and Si02. The interest in the electrical properties of these slags originated from problems being experienced in the electrical control of the melter type furnaces of the platinum producers in South Africa. A large amount of literature on the electrical conductivity of slags was collected and analysed. The key research areas identified through the literature review were: the effect of iron oxide on slag conductivity in terms of ionic and electronic mechanisms, the effect of oxidation state on the conductivity of iron-containing slags and the effect of chromium on the electrical conductivity of melter type slags. Measurements of the electrical conductivities of various slags were conducted in order to gain an understanding of these effects.
Su, Bin. "Electrical, thermomechanical and reliability modeling of electrically conductive adhesives." Available online, Georgia Institute of Technology, 2006, 2006. http://etd.gatech.edu/theses/available/etd-12192005-124641/.
Full textQu, Jianmin, Committee Chair ; Baldwin, Daniel, Committee Member ; Wong, C. P., Committee Member ; Sitaraman, Suresh, Committee Member ; Jacob, Karl, Committee Member.
Spurio, Eleonora. "Electrical conductivity of single Be-doped GaAs nanowires." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amslaurea.unibo.it/19295/.
Full textJasbinschek, dos Reis Pinheiro Katia. "Mantle electrical conductivity estimates from geomagnetic jerk observations /." Zürich : ETH, 2009. http://e-collection.ethbib.ethz.ch/show?type=diss&nr=18259.
Full textOzkan, Koray Ozdal. "Multi-frequency Electrical Conductivity Imaging Via Contactless Measurements." Master's thesis, METU, 2006. http://etd.lib.metu.edu.tr/upload/12607071/index.pdf.
Full textone is for the single frequency measurements and the other is for the multi-frequency measurements. Geometrically the coils are same, the only difference between them is the radius of the wires wound on them. The sensor consists of two differentially connected identical receiver coils employed to measure secondary field and in between the receiver coils is placed a transmitter coil, which creates the primary field. The coils are coaxial. In the prototype system the transmitter coil is driven by a sinusoidal current of 300 mA (peak) at 50 kHz. In the multi-frequency system the transmitter coil is driven by a sinusoidal current of 217 mA (peak), 318 mA (peak), 219 mA (peak) and 211 mA (peak) at 30 kHz, 50 kHz, 60 kHz and 90 kHz, respectively. A data acquisition card (DAcC) is designed and constructed on a printed circuit board (PCB) for phase sensitive detection (PSD). The equivalent input noise voltage of the card was found as $146.80 hspace{0.1 cm}nV$. User interface programs (UIP) are prepared to control the scanning experiments via PC (HP VEE based UIP, LabVIEW based UIP) and to analyze the acquired data (MATLAB based UIP). A novel sensitivity test method employing resistive ring phantoms is developed. A relation between the classical saline solution filled vessel (45mm radius, 10 mm depth) phantoms and the resistive ring phantoms is established. The sensitivity of the prototype system to saline solutions filled vessels is 13.2 $mV/(S/m)$ and to resistive rings is 155.02 mV/Mho while the linearity is 3.96$%$ of the full scale for the saline solution filled vessels and 0.12$%$ of the full scale for the resistive rings. Also the sensitivity of the multi-frequency system is determined at each operation frequency by using resistive ring phantoms. The results are in consistence with the theory stating that the measured signals are linearly proportional with the square of the frequency. The signal to noise ration (SNR) of the prototype system is calculated as 35.44 dB. Also the SNR of the multi-frequency system is calculated at each operation frequency. As expected, the SNR of the system increases as the frequency increases. The system performance is also tested with agar phantoms. Spatial resolution of the prototype system is found 9.36 mm in the point spread function (PSF) sense and 14.4 mm in the line spread function (LSF) sense. Spatial resolution of the multi-frequency system is also found at each operation frequency. The results show that the resolving power of the system to distinguish image details increases as the frequency increases, as expected. Conductivity distributions of the objects are reconstructed using Steepest-Descent algorithm. The geometries and the locations of the reconstructed images match with those of the real images. The image of a living tissue, a leech, is acquired for the first time in the literature. Magnetic conductivity spectroscopy of a biological tissue is shown for the first time in electrical conductivity imaging via contactless measurements. The results show the potential of the methodology for clinical applications.
Ningelgen, Oliver Peter. "GoC : Gulf of Carpentaria electrical conductivity anomaly experiment /." Title page, contents and abstract only, 2001. http://web4.library.adelaide.edu.au/theses/09SB/09sbn7149g.pdf.
Full textUribe-Salas, Alejandro. "Process measurements in flotation columns using electrical conductivity." Thesis, McGill University, 1991. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=70295.
Full textA conductivity probe and associated data acquisition system for locating the froth/collection zone interface in flotation columns were developed and tested. The level detection technique is based on the collection of a conductance profile around the interface and on the location of the position at which a sharp change in conductance occurs. Such a change in conductance across the interface is caused by the difference in the effective conductivity of the froth and collection zone, primarily due to their difference in gas holdup.
A conductivity cell to measure the effective conductivity of water-air, water-mineral, and water-mineral-air systems was developed. The cell consisted of two grid-electrodes covering the entire cross-sectional area of the cylinder containing the two or three phase system. Such an arrangement allowed the free movement of the phases and provided conditions for uniform potential and current (electrical) fields. It was found that Maxwell's model (1892) predicted the holdups of the non-conductive material reasonably well from the conductivity measurements.
Conditions encountered in industrial flotation columns allowed the use of conductivity to trace the flows of feed water and wash water across the interface, and therefore, to determine the bias rate. Alternative parameters to bias rate as measures of metallurgy such as fraction of feed water in the overflow water (called here feed water entrainment), feed water recovery, and conductance profiles, were explored.
Zhang, Maomao. "Permittivity and conductivity imaging in electrical capacitance tomography." Thesis, University of Bath, 2016. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.687378.
Full textSu, Bin. "Electrical, thermomechanical and reliability modeling of electrically conductive adhesives." Diss., Georgia Institute of Technology, 2005. http://hdl.handle.net/1853/10425.
Full textTran, Sam, Niklas Lindborg, Souza Vivedes Danilo De, Johanna Sjölund, Veronica Enblom, and Mattias Sjödin. "Theoretical models of thermal conductivity and the relationship with electrical conductivity for compressed metal powder." Thesis, Uppsala universitet, Institutionen för teknikvetenskaper, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-387636.
Full textOh, Tae-il. "Electrical conductivity and related defect structures in reduced rutile." Full text open access at:, 1985. http://content.ohsu.edu/u?/etd,90.
Full textYu, Shuaibo. "Study of Electrical Conductivity of Epoxy/Graphene Platelet Nanocomposites." Thesis, Université d'Ottawa / University of Ottawa, 2014. http://hdl.handle.net/10393/31447.
Full textIsmail, Bakar Bin. "Electrical conductivity measurements in evaporated cadmium telluride thin films." Thesis, Keele University, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.293964.
Full textMajor, AndraÌs G. "Contactless determination of the electrical conductivity in levitated liquids." Thesis, University of Bristol, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.404079.
Full textNavas, Pérez Carlos Justo 1971. "Synthesis, electrical conductivity and nonstoichiometry of dopped layered perovskites." Thesis, Massachusetts Institute of Technology, 1999. http://hdl.handle.net/1721.1/85242.
Full textMashiko, V. V., and I. P. Studenyak. "Electrical conductivity of “liquid crystal – Cu6PS5I superionic nanoparticles” composites." Thesis, Sumy State University, 2017. http://essuir.sumdu.edu.ua/handle/123456789/64321.
Full textKress, Oliver Herbert. "Mechanical Tension and Electrical Conductivity of Liquid Crystal Filaments." Kent State University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=kent1437752455.
Full textFreire, Ricardo Satuf 1962. "Short fiber composites with high electrical and thermal conductivity." Thesis, The University of Arizona, 1992. http://hdl.handle.net/10150/278242.
Full textIsarn, Garcia Isaac. "New epoxy composites with enhanced thermal conductivity keeping electrical insulation." Doctoral thesis, Universitat Rovira i Virgili, 2019. http://hdl.handle.net/10803/668084.
Full textLa tendencia de la industria electrónica de crear dispositivos cada vez más pequeños, más ligeros y que trabajen más rápido lleva a un aumento en la producción de calor generado por efecto Joule, debido al aumento de la frecuencia de paso de los electrones. Eliminar este exceso de calor lleva a la necesidad de mejorar la conductividad térmica de los materiales ya existentes, ya que limitar la temperatura de trabajo de los dispositivos está directamente relacionada con su eficiencia, su tiempo de vida útil y previene la aparición de fallos prematuros de los equipos. Algunos elementos de estos dispositivos están recubiertos de resina termoestable epoxídica. Por esta razón, aumentar la conductividad térmica de estas resinas, aislantes por naturaleza, resulta de gran importancia en varias industrias como la electrónica y la eléctrica. El método más simple y económico para alcanzar este propósito es mediante la adición de partículas a la matriz polimérica. En esta tesis doctoral se han utilizado diferentes tipos de partículas en varias matrices epoxídicas: nitruro de boro (BN), alúmina (Al2O3), nitruro de aluminio (AlN), carburo de silicio (SiC), grafito expandido (EG) y nanotubos de carbono (CNTs). Se ha determinado experimentalmente la influencia de cada material añadido en las propiedades finales de los materiales compuestos, especialmente en sus características mecánicas, térmicas y eléctricas. El mejor resultado obtenido en cuanto a los objetivos propuestos ha sido la combinación del 70 % en peso de BN y un 2.5 y 5 % en peso de EG, alcanzando más de un 1600 % de mejora en conductividad térmica respecto al material de partida. Las conductividades térmicas alcanzadas han sido de 2,08 y 2,22 W/m·K respectivamente. Además, estos materiales han mantenido unas resistividades eléctricas suficientes, alrededor de 10^10 y 10^6 Ω·m, respectivamente.
The tendency in electronics to produce smaller and lighter devices with higher power output causes an increase of the generated heat (Joule effect) by the increase in the frequency of electrons. Evolve this exceeding heat cause the need to improve some properties that existent materials do not meet, since keeping the working temperature of these devices is directly related to efficiency, useful lifetime and prevention of premature equipment failures. Some elements of these devices are coated by epoxy resins and this is the reason why enhance the thermal conductivity of them, insulators by nature, is of great importance in several industries such as electronics and electrical. The most economic and simple technique to face this issue is still today through the addition of high thermal conductive fillers. In this doctoral thesis, boron nitride (BN), alumina (Al2O3), aluminum nitride (AlN), silicon carbide (SiC), expanded graphite (EG) and carbon nanotubes (CNTs) have been used. Experimentally, the influence of each filler has been determined in the final composites, especially in the thermal, mechanic and electric characteristics. The materials with the best performances in the proposed objectives were those of homopolymerized cycloaliphatic epoxy resin with the combined addition of 70 wt. % of BN platelets and 2.5 and 5 wt. % of EG. The values of thermal conductivity improved by more than 1600 % in reference to the neat epoxy and were 2.08 and 2.22 W/m·K, respectively. These materials also kept enough electrical insulation, in the range of 10^10 and 10^6 Ω·m, respectively.
Tighineanu, Alexei [Verfasser], and Patrik [Akademischer Betreuer] Schmuki. "Electrical Conductivity of TiO2 Nanotubes / Alexei Tighineanu. Gutachter: Patrik Schmuki." Erlangen : Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 2015. http://d-nb.info/1076673813/34.
Full textTu, Kai-Ming. "Spatial-Decomposition Analysis of Electrical Conductivity in Concentrated Ionic Systems." 京都大学 (Kyoto University), 2015. http://hdl.handle.net/2433/199125.
Full textPires, Ellis John. "Electrical conductivity of single organic molecules in ultra high vacuum." Thesis, Cardiff University, 2013. http://orca.cf.ac.uk/56796/.
Full textShearwood, C. "The electrical conductivity and Hall coefficient of sputtered metallic glasses." Thesis, University of Leeds, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.383901.
Full textAtashpendar, Arshia [Verfasser], and Tanja [Akademischer Betreuer] Schilling. "Geometric percolation and electrical conductivity in suspensions of conductive nanoparticles." Freiburg : Universität, 2021. http://d-nb.info/1227187483/34.
Full textHarinarayana, Tirumalachetty. "Lithospheric electrical conductivity structure across Southern Scotland and Northern England." Thesis, University of Edinburgh, 1987. http://hdl.handle.net/1842/10936.
Full textMitscherling, Johannes [Verfasser], and Walter [Akademischer Betreuer] Metzner. "Electrical conductivity in quantum materials / Johannes Mitscherling ; Betreuer: Walter Metzner." Stuttgart : Universitätsbibliothek der Universität Stuttgart, 2021. http://d-nb.info/1233681362/34.
Full textNeto, OdÃlio Coimbra da Rocha. "Hiperspectral data applied for estimating electrical conductivity in salty soils." Universidade Federal do CearÃ, 2016. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=16620.
Full textA interpretaÃÃo de dados do sensoriamento remoto fundamenta-se, basicamente, na anÃlise do comportamento da reflectÃncia espectral dos materiais no intervalo de comprimento de onda do visÃvel ao infravermelho de ondas curtas (400 a 2500 nm). Para isso, pode-se usar a espectrorradiometria de reflectÃncia, que à uma tÃcnica capaz de medir, em diferentes comprimentos de ondas, a energia eletromagnÃtica refletida da superfÃcie dos materiais e representÃ-la na forma de um grÃfico denominado curva de reflectÃncia espectral. O poder analÃtico desta tÃcnica advÃm do fato da informaÃÃo espectral se correlacionar diretamente com a composiÃÃo quÃmica e com as caracterÃsticas fÃsicas das substÃncias contidas no alvo. No entanto, o grande volume de informaÃÃes contidas em uma assinatura espectral aumenta a dificuldade de analisÃ-la, principalmente quando se trabalha com imagens. Com isso, o emprego de modelos computacionais se mostra como uma saÃda viÃvel para a anÃlise de curvas espectrais. Dessa forma, o objetivo desta tese à avaliar o desempenho de diferentes modelos computacionais como: mÃnimos quadrados (MQ), rede neural artificial do tipo perceptron de mÃltiplas camadas (MLP) e mÃquina de aprendizagem extrema (ELM), treinados em laboratÃrio para estimar a condutividade elÃtrica do solo, e aplicÃ-los em imagens de alta resoluÃÃo espectral. Esta tese foi separada em trÃs etapas onde foram avaliados: a capacidade dos modelos computacionais em estimar a condutividade elÃtrica do extrato de saturaÃÃo (CEes) a partir de amostra de condutividade elÃtrica 1:1 (CE1:1); as estratÃgias computacionais que melhor estimam a condutividade elÃtrica de amostras de solo a partir de leituras espectrais de solos obtidas em laboratÃrio; e testar desempenho da melhor estratÃgia obtida no passo anterior, aplicando-a em uma imagem do sensor aerotransportado SpecTIR, coletado na regiÃo do PerÃmetro Irrigado de Morada Nova. Para avaliaÃÃo dos algoritmos, foram coletadas amostras de solos na regiÃo de Morada Nova com histÃrico de Ãreas afetadas por sais. Estas amostras foram utilizadas para a calibraÃÃo e validaÃÃo dos modelos. Dados espectrais foram obtidos utilizando o espectrorradiÃmetro FieldSpec 4 Hi-Res, entre 350 a 2500 nm. Foi avaliado o ganho de performance dos modelos matemÃticos pela transformaÃÃo dos dados atravÃs da anÃlise por componente principal e pela anÃlise derivativa. Com os resultados obtidos, pÃde-se observar que as melhores respostas foram alcanÃadas pelo modelo linear dos mÃnimos quadrados aplicados aos dados puros, onde as bandas selecionadas para estimar a condutividade elÃtrica foram de 395, 1642 e 1717 nm. Para estimar a condutividade elÃtrica do solo na imagem do sensor SpecTIR sobre a Ãrea de estudo, o modelo calibrado em laboratÃrio se mostrou interessante, produzindo um RPD de 1,46 e um coeficiente de correlaÃÃo de Pearson de 0,80. Com isso, conclui-se que os modelos calibrados utilizando amostras em laboratÃrio sÃo satisfatÃrios para estimar a CE de imagens hiperespectrais.
Remote sensing data interpretation is based primarily on the spectral reflectance analysis of materials for wavelength ranging from visible to short wave infrared (400 to 2500nm). For this, one can use reflectance spectroscopy which is a technique capable of measuring, at different wavelengths, the electromagnetic energy reflected from the surface of materials and represent it in the form of a graph called spectral reflectance curve. The analytical power of this technique derives from the spectral information being correlated directly with the chemical composition and physical characteristics of the substances that makes the target. However, the large volume of information contained in a spectral signature increases the difficulty of analyzing it, especially if the dataset is made of images. Thus, computational models are expected to be a viable means of analyzing these spectral curves. The refore, the objective of this thesis is to evaluate the performance of different computational models, such as least squares (LS), multilayer perceptron (MLP) and extreme learning machine (ELM) artificial neural networks, trained on laboratory data to estimate the electrical conductivity of salty soils, and to apply them to a hyperspectral image of the field . This thesis was organized in three parts: first, the ability of computer models to estimate the electrical conductivity of saturation extract (ECse) based on electrical conductivity data from a 1:1 dilution (EC 1:1) is assessed; second, computing strategy for best estimating the electrical conductivity of soil samples using their spectral readings under laboratory conditions are evaluated; and finally, the performance of the best found model applied to an airborne SpecTIR sensor hyperspectral image collected at the Irrigated District of the Morada Nova was evaluated. To evaluate the proposed algorithms, soil samples were collected in the Morada Nova Irrigation District with a history of salinity. These samples were used for model calibration and validation. Spectral data were obtained using the spectroradiometer FieldSpec 3Hi-Res, from 350 to 2500nm. In an attempt to improve the performance of the models, data transformation was applied using either principal component analysis or derivative analysis. The results show the best performance was produced by the linear model fitted by least squares algorithm applied to the raw data (no transformation), and the spectral bands selected to estimate the electrical conductivity were 395, 1642 and 1717 nm. To estimate the soil's electrical conductivity from SpecTIR's image sensor data, the model calibrated in the laboratory has proved to be feasible, generating a value o f 1.46 for RPD, and 0.80 for the Pearson correlation coefficient. Therefore, one can conclude that the calibrated models using samples in the laboratory are satisfactory for estimating EC based on hyperspectral images.
Asgari, Mohammadreza. "FULLY-INTEGRATED CMOS PH, ELECTRICAL CONDUCTIVITY, AND TEMPERATURE SENSING SYSTEM." University of Akron / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=akron1533827604228324.
Full textStewart, Douglas Norman. "Geomagnetic impulses and the electrical conductivity of the lower mantle." Thesis, University of Leeds, 1991. http://etheses.whiterose.ac.uk/1238/.
Full textImashuku, Susumu. "Electrical Conductivity of Grain Boundary in Accepter Doped Barium Zirconate." 京都大学 (Kyoto University), 2009. http://hdl.handle.net/2433/78014.
Full textUppal, Rajeev. "Effect of TiO₂ on the electrical conductivity of Al₂O₃." Thesis, University of Bath, 2000. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.323708.
Full textFraser, Iain Stuart. "Electrical conduction in macroscopic carbon nanotube assemblies." Thesis, University of Cambridge, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.609756.
Full textMunro, Brian. "Electrical and spectroscopic studies of new silver gallium thiophosphate glasses." Thesis, University of Aberdeen, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.290249.
Full textSchroeder, Wade Anthony. "Conductivity Sensor Circuit." University of Dayton / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1429537491.
Full textCasanova, Martínez Ana. "Synthetic strategies for the preparation of nanoporous carbons with improved electrical conductivity." Thesis, Orléans, 2020. http://www.theses.fr/2020ORLE3093.
Full textNanoporous carbons are key materials in many electrochemical applications over a wide variety of competitors (such as noble metals, non-noble metals or metal oxides) due to the diversity of materials with controlled pore architectures combined with adequate properties; particularly, chemical and mechanical stability, biocompatibility, rich surface chemistry and, most importantly, relatively high electronic conductivity.Although some carbons (e.g., graphite, graphene) present electronic properties close to those of metallic electrodes, this feature depends strongly on the spatial arrangement of the carbon atoms. Indeed, most nanoporous carbons are non-polycrystalline materials with a low degree of structural order and, as a consequence, with limited conductivity. Thus, efforts are yet needed to prepare nanoporous carbons with high and well defined pore architectures combining high electrical conductivity without compromising the porous structure.To increase the conductivity of nanoporous carbon electrodes without compromising the porosity, several strategies have been explored such as: (i) heteroatoms’ doping; (ii) coating with a conductive phase; (iii) synthesizing 3D nanoporous graphene-like architectures, and (iv) incorporating a conductive additive in the formulation of carbon electrodes inks. The latter is the common practice for the manufacturing of the electrodes in electrochemical applications, being carbon black the most popular conductive additive.The approach in this PhD consisted in exploring various synthetic approaches to obtain nanoporous carbons with high porous networks and enhanced conductivity upon incorporating various carbon nanostructures as conductive additives. In a first approach, the additive was incorporated during the synthesis of the nanoporous carbon material itself, rather than as percolator in the inks typically used in the preparation of electrodes (e.g., carbon material, binder and percolator). In a second approach, 3D nanoporous graphene-like architectures were obtained by hydrothermal approaches.The synthesis of the nanoporous carbons was carried out by a modification of the polycondensation of resorcinol and formaldehyde mixtures well reported in the literature for the preparation of carbon gels. This approach allows obtaining highly porous materials with tuneable properties compared to conventional activation methods that usually render materials with broad pore size distributions. To overcome the drawback of their low electrical conductivity, various carbon nanostructures were used as conductive additives: carbon black, graphite, graphene and graphene oxide derivatives.The effect of various parameters such as the type, amount, hydrophobic/hydrophilic character and composition of the additive was explored. The study revealed the important role of the nature of the additive not only on the conductivity of the carbon gel/additive composite, but also on the development of the porosity during the synthesis. Carbon additives of hydrophobic nature act as a porogen, favouring the development of multimodal pore architectures, with predominance of large mesopores. Hydrophilic additives rendered materials with lower porosity. Regarding conductivity, the composites showed enhanced values, with percolation thresholds of ca. 8 wt.% for carbon black.In the second approach, various nanostructured carbons were subjected to a hydrothermal treatment. First, graphene synthesis by plasma decomposition of ethanol was optimized, with good production rates and quality for flows of 2-4 g/h. Graphene oxide was also synthesized by a modified Hummers method. The hydrothermal treatment rendered materials with improved porosity.Overall, highly nanoporous carbons with controlled mesopore architectures and enhanced conductivity were obtained. Such materials are of interest as electrodes in electrochemical applications (e.g, energy storage, supercapacitors, electrochemical sensors)
Yang, Fan. "Electrical and thermal properties of yttria-stabilised zirconia (YSZ)- based ceramic materials." Thesis, University of Manchester, 2011. https://www.research.manchester.ac.uk/portal/en/theses/electrical-and-thermal-properties-of-yttriastabilised-zirconia-ysz-based-ceramic-materials(82568afe-ffcb-4a38-9166-e5de83337763).html.
Full textSasaki, Kazunari. "Phase equilibria, electrical conductivity, and electrochemical properties of ZrO₂-In₂O₃ /." Zürich, 1993. http://e-collection.ethbib.ethz.ch/show?type=diss&nr=10331.
Full textSaleem, Swilem. "Electrical conductivity measurements of strongly coupled tungsten, titanium and silver plasmas." [S.l.] : [s.n.], 2001. http://deposit.ddb.de/cgi-bin/dokserv?idn=96361262X.
Full textNdegwa, Anne W. "Biodegradation and electrical conductivity of amine-contaminated soil, a laboratory study." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp05/MQ65006.pdf.
Full textCarella, Catherine A. "Electrical conductivity as a surrogate for dissolved bromide stream tracer samples." Thesis, University of Colorado at Boulder, 2013. http://pqdtopen.proquest.com/#viewpdf?dispub=1546530.
Full textThe coupling of the stream tracer technique with transient storage modeling is a well-established approach to characterizing solute transport processes of complex stream systems. Stream tracer studies require a large number of samples and the associated chemical analyses are costly. Sampling and analytical demand would be significantly reduced if electrical conductivity - a robust, easy-to-measure, water-quality property- was used as the primary measure of tracer breakthrough and converted to bromide tracer concentrations for breakthrough curve analysis and transient storage model parameter optimization. The advantages of collecting electrical conductivity data as a surrogate for dissolved bromide tracer samples are (1) reduced cost of laboratory analysis, (2) high-frequency data collection by field instruments, and (3) well-defined breakthrough curves for enhanced transient storage model simulations.
This method was tested by collecting electrical conductivity data and dissolved tracer samples during an instantaneous sodium bromide (NaBr) injection experiment in Fourmile Creek, Boulder County, Colorado. Concentrations of bromide were calculated from electrical conductivity data using equations that relate electrical conductivity of natural waters to their chemical composition. Models of transient storage were simulated for both the tracer data derived from electrical conductivity and the measured tracer data.
Small changes in background electrical conductivity caused the highest error (%) in the breakthrough curves. The method was robust in stream reaches where changes in background electrical conductivity could be accounted for. The use of high-frequency calculated bromide data within the transient storage model provided improved parameter estimates.
Jamil, Nawfal Yousif. "A study of growth, electrical conductivity and diffusion in (CdMn)Te." Thesis, University of Hull, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.314717.
Full textGlover, Paul W. J. "Electrical conductivity of rock samples subjected to high temperatures and pressures." Thesis, University of East Anglia, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.236438.
Full textVeras, Johann. "Electrical Conductivity Imaging via Boundary Value Problems for the 1-Laplacian." Doctoral diss., University of Central Florida, 2014. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/6377.
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Doctorate
Mathematics
Sciences
Mathematics
Ohlendorf, Gerd, Denny Richter, Jan Sauerwald, and Holger Fritze. "High-temperature electrical conductivity and electromechanical properties of stoichiometric lithium niobate." Universitätsbibliothek Leipzig, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-192902.
Full textAmato, Alessandro. "Temperature dependence of the electrical conductivity in the quark-gluon plasma." Thesis, Swansea University, 2014. https://cronfa.swan.ac.uk/Record/cronfa42946.
Full textAmruthaluri, Sushma. "Synthesis of copper carbon nanotube composite and its electrical conductivity measurement." FIU Digital Commons, 2008. http://digitalcommons.fiu.edu/etd/1283.
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