835 resultados para physical models
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Recently, a group of researchers proposed the concept of entransy by analogy with the electrical energy stored in a capacitor, the entransy being a measure of the ability of a body or a system to transfer heat. In comparative terms, the entransy dissipation rate is related with the loss of heat transfer ability just like the exergy destruction rate is proportional to the loss of work ability, being these losses caused by the irreversibilities related to the thermodynamic processes. Some authors have questioned the need for the concept of entransy, claiming that this concept is only an extension of a well established theory of heat transfer. The objective of this work is show the equivalence between the application of the concepts of entransy and entropy generation rate, which can be verified using various application examples. The application examples used here are the thermodynamic modeling of three physical models of solar energy collectors and a physical model of a sensible heat storage system. Analytical results are shown and compared. The results showed that the application of the concept of entransy provided identical expressions obtained by the concept of entropy generation, indicating a duplication of concepts. (C) 2014 Elsevier Ltd. All rights reserved.
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The huge demand for procedures involving ionizing radiation promotes the need for safe methods of experimentation considering the danger of their biological e ects with consequent risk to humans. Brazilian's legislation prohibits experiments involving this type of radiation in humans through Decree 453 of Ministry of Health with determines that such procedures comply with the principles of justi cation, optimization and dose limitation. In this line, concurrently with the advancement of available computer processing power, computing simulations have become relevant in those situations where experimental procedures are too cost or impractical. The Monte Carlo method, created along the Manhattan Project duringWorldWar II, is a powerful strategy to simulations in computational physics. In medical physics, this technique has been extensively used with applications in diagnostics and cancer treatment. The objective of this work is to simulate the production and detection of X-rays for the energy range of diagnostic radiology, for molybdenum target, using the Geant4 toolkit. X-ray tubes with this kind of target material are used in diagnostic radiology, speci cally in mammography, one of the most used techniques for screening of breast cancer in women. During the simulations, we used di erent models for bremsstrahlung available in physical models for low energy, in situations already covered by the literature in earlier versions of Geant4. Our results show that although the physical situations seems qualitatively adequate, quantitative comparisons to available analytical data shows aws in the code of Geant4 Low Energy source
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Physics governs all working patterns of the universe and could not be otherwise in a biological environment. Living things depend directly on laws and physical models to compose their body structure, allow its survival in certain environments, communication between individuals and groups and also to establish a complex sensorial system that allows interaction with the environment that surrounds them. With the advancement of science and technology, new ideas are required, and thus, many researchers began to turn their attention to those systems found in nature, as these systems often present practical solutions and with maximum efficiency. This imitation of biological systems, applied in creating innovative technological resources, is called Biomimetics. To study the biological systems based on physical concepts is essential the creation of models. These allow the distinction of the effects of the issue really essential and may be ignored side effects that do not have an effective participation in the phenomenon being analyzed. In this Work Completion of course will be studied the phenomenon of countercurrent heat exchangers, present in various situations of nature, focusing on their participation in the legs of birds, also the balance of certain birds that are supported on one leg and possible inspiration of these phenomena in the fields of engineering. Also included are videos that allow better understanding of the studied subjects
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There are considerations of that the education of Physics of the way as comes being driven us textbooks and consequently in classroom, is distant and distorted of their real purpose. We notice that the education of this science through the Physical school discipline, has I assume a character of preparation for university entrance exams exercises resolution, exceling for the memorization of formulae and by the mathematical solutions, fact that looks to cause to it is lacking of motivation and to the disinterest of the students regarding his contents. Since we are surrounded by phenomena, events, elements of the nature, new technologies, objects and so many others that can be explained and many times until applied and/or reproduced by means of physical concepts, there is no reason for treat to Physical as somewhat academic and remote of the reality. The little interest of high school students by the discipline of Physics and their poor performance in the learning of his contents has led to the search of new paths, resources and strategies that promote a more meaningful learning. Taking into account these facts, we seek in this course conclusion work, observe, analyze and apply concepts of the Physical one in multiple elements of ours routine, doing use of the interdisciplinary nature as a possible mechanism. The animals exert a fascination on most people. Much of what we see in their way of being and behaving can be explained by the laws of Physics and its models. Their physique, behavior and activities involve diverse movements, communication and sensing as physical limitations varied. Zoologists and physicists build models in an attempt to explain or understand animal behavior using well-established physical principles. The creation of physical models is going to approach a problem, identifies the fundamental information and removing all of the irrelevant details. An example... (Complete abstract click electrnic access below)
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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The aim of this article is to examine unbuilt residential projects designed by Vilanova Artigas. The formal and spatial conception of these projects is investigated through physical models. The object of this research project consists of the unbuilt residential projects designed by Vilanova Artigas in Sao Paulo that are available in FAUUSP's digital Library. The results indicate that physical models contribute to a better interpretation of unbuilt architectural design, both from the conceptual and aesthetic and from the functional and technical point of view. The original contribution lies in the object, i.e. the unbuilt projects, in the method, using physical models for analysis, and in the objective, viz. to establish a relationship between Artigas' built works and his unbuilt residential projects in order to better understand the design's spatial conception and its architectural approach.
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O presente artigo vincula-se às pesquisas do Núcleo de Apoio à Pesquisa em Estudos de Linguagem em Arquitetura e Cidade (N.ELAC), que atua na área de Linguagem e Representação. Diante das diversas formas de representação em arquitetura (desenho, maquete, modelos digitais), nesta pesquisa o modelo tridimensional físico é trazido como ferramenta que proporciona maior facilidade de leitura do projeto e tratado como meio de aproximação da comunidade ao patrimônio arquitetônico, envolvendo, sobretudo, a arquitetura moderna paulista. Como estudo de caso, escolheu-se o Edifício E1, obra de Ernest Mange e Hélio Duarte. Localizado no campus da USP em São Carlos, é considerado patrimônio da cidade, entretanto, encontra-se praticamente enclausurado no interior do campus, dificultando maior contato da comunidade com o edifício. Durante sua execução, foi utilizado apenas o desenho como ferramenta de representação de projeto, não incluindo nenhum tipo de modelo tridimensional (físico ou digital). A partir do levantamento das representações gráficas utilizadas, foi possível fazer uma comparação entre o nível de compreensão do projeto apenas com as peças gráficas dos arquitetos e a partir do modelo físico, produzido pela pesquisadora. Realizou-se um pré-teste em escola pública municipal, que indicou um aumento no interesse desses alunos pelo edifício em questão.
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Durante o processo de projeto, o arquiteto transpõe suas ideias para o campo real, do concreto. Os diversos modos de expressão e representação têm como função mediar essa interação, diminuindo a distância entre esses dois campos. Vive-se hoje, um momento de intensa transformação das estratégias projetuais, propiciada pelos novos meios digitais. Assim, esta pesquisa, centra-se na comparação entre diversos momentos do uso de modelos nos processos projetivos contemporâneos, através de uma investigação em escritórios de arquitetura paulistanos que utilizam o modelo físico como parte de seus processos de projeto. Busca-se entender qual o papel dessa ferramenta de representação e suas potencialidades nos dias atuais. Como estudo de caso, faz-se uma análise comparativa entre o uso das maquetes digital e física, destacando dois estudos: a maquete do Conjunto Ponte dos Remédios, do arquiteto Marcos Acayaba e as maquetes de estudos elaboradas pelo escritório Andrade Morettin Arquitetos, para o concurso para o Instituto Moreira Salles/SP. Entre os objetivos desse trabalho também se encontra uma análise da contribuição dos modelos físicos no Ensino de Arquitetura.
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Es wurden funktionalisierte polymerunterstützte planare Phospholipid-Modellmembran-Systeme hergestellt und auf jeder Präparationsstufe eingehend charakterisiert. Dünne Polysaccharidfilme wurden in der Form von quellbaren Gelen auf oxidische Oberflächen aufgebracht und bezüglich ihres Quellungsverhaltens und der Oberflächeneigenschaften in Abhängigkeit vom Wassergehalt untersucht. Lipidmonoschichten unterschiedlicher Zusammensetzung wurden mittels Langmuir-Blodgett-Tranfer auf Polymersubstrate übertragen und bezüglich der Stärke der Lipid/Polymer Wechselwirkung, der lateralen Selbstdiffusion in Abhängigkeit von der Wasseraktivität, dem Spreitverhalten der monomolekularen Membran auf dem Substrat in Abhängigkeit von der Wasseraktivität und dem Lateraldruck der Monoschicht, sowie des Ausmaßes der Hydratation im Kopfgruppenbereich der Lipidmembran in Abhängigkeit von der Wasseraktivität mittels Fluoreszensondenmethoden (Fluoreszenzerholung nach Photobleichung (FRAP), Fluoreszenzmikroskopie und Fluoreszenzspektroskopie) untersucht. Diffusions- und Spreitverhalten von amphiphilen Monoschichten auf Polymersubstraten wurden auf der Basis von in dieser Arbeit entwickelten physikalischen Modellen diskutiert. Mittels Langmuir-Schäfer Transfer wurde auf polymerunterstützte Lipidmonoschichten eine zweite Monoschicht übertragen. Die somit erhaltenen Lipid-Doppelschichtmembranen wurden bezüglich ihrer Stabilität, der lateralen Struktur, der lateralen Selbstdiffusion, des Spreitverhaltens auf unbedeckte Bereiche sowie der Stärke der Membran/Substrat Wechselwirkung vermittels Fluoreszenzmikroskopie, FRAP und Interferenz-Kontrast-Mikroskopie (RICM) untersucht. Schließlich wurden substratgestützte Doppelschicht-Lipidmembranen mit als Protonenpumpen fungierenden integralen Membranproteinen versehen. Die laterale Selbstdiffusion der rekonstituierten Proteinmoleküle wurde mittels FRAP, die funktionale Aktivität der Protonenpumpen mit einem Ionen-sensitiven Feldeffekttransistor-Array analysiert.
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Organic semiconductors with the unique combination of electronic and mechanical properties may offer cost-effective ways of realizing many electronic applications, e.g. large-area flexible displays, printed integrated circuits and plastic solar cells. In order to facilitate the rational compound design of organic semiconductors, it is essential to understand relevant physical properties e.g. charge transport. This, however, is not straightforward, since physical models operating on different time and length scales need to be combined. First, the material morphology has to be known at an atomistic scale. For this atomistic molecular dynamics simulations can be employed, provided that an atomistic force field is available. Otherwise it has to be developed based on the existing force fields and first principle calculations. However, atomistic simulations are typically limited to the nanometer length- and nanosecond time-scales. To overcome these limitations, systematic coarse-graining techniques can be used. In the first part of this thesis, it is demonstrated how a force field can be parameterized for a typical organic molecule. Then different coarse-graining approaches are introduced together with the analysis of their advantages and problems. When atomistic morphology is available, charge transport can be studied by combining the high-temperature Marcus theory with kinetic Monte Carlo simulations. The approach is applied to the hole transport in amorphous films of tris(8-hydroxyquinoline)aluminium (Alq3). First the influence of the force field parameters and the corresponding morphological changes on charge transport is studied. It is shown that the energetic disorder plays an important role for amorphous Alq3, defining charge carrier dynamics. Its spatial correlations govern the Poole-Frenkel behavior of the charge carrier mobility. It is found that hole transport is dispersive for system sizes accessible to simulations, meaning that calculated mobilities depend strongly on the system size. A method for extrapolating calculated mobilities to the infinite system size is proposed, allowing direct comparison of simulation results and time-of-flight experiments. The extracted value of the nondispersive hole mobility and its electric field dependence for amorphous Alq3 agree well with the experimental results.
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The means through which the nervous system perceives its environment is one of the most fascinating questions in contemporary science. Our endeavors to comprehend the principles of neural science provide an instance of how biological processes may inspire novel methods in mathematical modeling and engineering. The application ofmathematical models towards understanding neural signals and systems represents a vibrant field of research that has spanned over half a century. During this period, multiple approaches to neuronal modeling have been adopted, and each approach is adept at elucidating a specific aspect of nervous system function. Thus while bio-physical models have strived to comprehend the dynamics of actual physical processes occurring within a nerve cell, the phenomenological approach has conceived models that relate the ionic properties of nerve cells to transitions in neural activity. Further-more, the field of neural networks has endeavored to explore how distributed parallel processing systems may become capable of storing memory. Through this project, we strive to explore how some of the insights gained from biophysical neuronal modeling may be incorporated within the field of neural net-works. We specifically study the capabilities of a simple neural model, the Resonate-and-Fire (RAF) neuron, whose derivation is inspired by biophysical neural modeling. While reflecting further biological plausibility, the RAF neuron is also analytically tractable, and thus may be implemented within neural networks. In the following thesis, we provide a brief overview of the different approaches that have been adopted towards comprehending the properties of nerve cells, along with the framework under which our specific neuron model relates to the field of neuronal modeling. Subsequently, we explore some of the time-dependent neurocomputational capabilities of the RAF neuron, and we utilize the model to classify logic gates, and solve the classic XOR problem. Finally we explore how the resonate-and-fire neuron may be implemented within neural networks, and how such a network could be adapted through the temporal backpropagation algorithm.
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This study investigated the effectiveness of incorporating several new instructional strategies into an International Baccalaureate (IB) chemistry course in terms of how they supported high school seniors’ understanding of electrochemistry. The three new methods used were (a) providing opportunities for visualization of particle movement by student manipulation of physical models and interactive computer simulations, (b) explicitly addressing common misconceptions identified in the literature, and (c) teaching an algorithmic, step-wise approach for determining the products of an aqueous solution electrolysis. Changes in student understanding were assessed through test scores on both internally and externally administered exams over a two-year period. It was found that visualization practice and explicit misconception instruction improved student understanding, but the effect was more apparent in the short-term. The data suggested that instruction time spent on algorithm practice was insufficient to cause significant test score improvement. There was, however, a substantial increase in the percentage of the experimental group students who chose to answer an optional electrochemistry-related external exam question, indicating an increase in student confidence. Implications for future instruction are discussed.
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For human beings, the origin of life has always been an interesting and mysterious matter, particularly how life arose from inorganic matter through natural processes. Polymerization is always involved in such processes. In this paper we built what we refer to as ideal and physical models to simulate spontaneous polymerization based on certain physical principles. As the modeling confirms, without taking external energy, small and simple inorganic molecules formed bigger and more complicated molecules, which are necessary ingredients of all living organisms. In our simulations, we utilized actual ranges of parameters according to their experimentally observed values. The results from the simulations led to a good agreement with the nature of polymerization. After sorting out through all the models that were built, we arrived at a final model that, it is hoped, can be used to simply and efficiently describe spontaneous polymerization using only three parameters: the dipole moment, the distance between molecules, and the temperature.
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The work described in this thesis had two objectives. The first objective was to develop a physically based computational model that could be used to predict the electronic conductivity, Seebeck coefficient, and thermal conductivity of Pb1-xSnxTe alloys over the 400 K to 700 K temperature as a function of Sn content and doping level. The second objective was to determine how the secondary phase inclusions observed in Pb1-xSnxTe alloys made by consolidating mechanically alloyed elemental powders impact the ability of the material to harvest waste heat and generate electricity in the 400 K to 700 K temperature range. The motivation for this work was that though the promise of this alloy as an unusually efficient thermoelectric power generator material in the 400 K to 700 K range had been demonstrated in the literature, methods to reproducibly control and subsequently optimize the materials thermoelectric figure of merit remain elusive. Mechanical alloying, though not typically used to fabricate these alloys, is a potential method for cost-effectively engineering these properties. Given that there are deviations from crystalline perfection in mechanically alloyed material such as secondary phase inclusions, the question arises as to whether these defects are detrimental to thermoelectric function or alternatively, whether they enhance thermoelectric function of the alloy. The hypothesis formed at the onset of this work was that the small secondary phase SnO2 inclusions observed to be present in the mechanically alloyed Pb1-xSnxTe would increase the thermoelectric figure of merit of the material over the temperature range of interest. It was proposed that the increase in the figure of merit would arise because the inclusions in the material would not reduce the electrical conductivity to as great an extent as the thermal conductivity. If this were to be true, then the experimentally measured electronic conductivity in mechanically alloyed Pb1-xSnxTe alloys that have these inclusions would not be less than that expected in alloys without these inclusions while the portion of the thermal conductivity that is not due to charge carriers (the lattice thermal conductivity) would be less than what would be expected from alloys that do not have these inclusions. Furthermore, it would be possible to approximate the observed changes in the electrical and thermal transport properties using existing physical models for the scattering of electrons and phonons by small inclusions. The approach taken to investigate this hypothesis was to first experimentally characterize the mobile carrier concentration at room temperature along with the extent and type of secondary phase inclusions present in a series of three mechanically alloyed Pb1-xSnxTe alloys with different Sn content. Second, the physically based computational model was developed. This model was used to determine what the electronic conductivity, Seebeck coefficient, total thermal conductivity, and the portion of the thermal conductivity not due to mobile charge carriers would be in these particular Pb1-xSnxTe alloys if there were to be no secondary phase inclusions. Third, the electronic conductivity, Seebeck coefficient and total thermal conductivity was experimentally measured for these three alloys with inclusions present at elevated temperatures. The model predictions for electrical conductivity and Seebeck coefficient were directly compared to the experimental elevated temperature electrical transport measurements. The computational model was then used to extract the lattice thermal conductivity from the experimentally measured total thermal conductivity. This lattice thermal conductivity was then compared to what would be expected from the alloys in the absence of secondary phase inclusions. Secondary phase inclusions were determined by X-ray diffraction analysis to be present in all three alloys to a varying extent. The inclusions were found not to significantly degrade electrical conductivity at temperatures above ~ 400 K in these alloys, though they do dramatically impact electronic mobility at room temperature. It is shown that, at temperatures above ~ 400 K, electrons are scattered predominantly by optical and acoustical phonons rather than by an alloy scattering mechanism or the inclusions. The experimental electrical conductivity and Seebeck coefficient data at elevated temperatures were found to be within ~ 10 % of what would be expected for material without inclusions. The inclusions were not found to reduce the lattice thermal conductivity at elevated temperatures. The experimentally measured thermal conductivity data was found to be consistent with the lattice thermal conductivity that would arise due to two scattering processes: Phonon phonon scattering (Umklapp scattering) and the scattering of phonons by the disorder induced by the formation of a PbTe-SnTe solid solution (alloy scattering). As opposed to the case in electrical transport, the alloy scattering mechanism in thermal transport is shown to be a significant contributor to the total thermal resistance. An estimation of the extent to which the mean free time between phonon scattering events would be reduced due to the presence of the inclusions is consistent with the above analysis of the experimental data. The first important result of this work was the development of an experimentally validated, physically based computational model that can be used to predict the electronic conductivity, Seebeck coefficient, and thermal conductivity of Pb1-xSnxTe alloys over the 400 K to 700 K temperature as a function of Sn content and doping level. This model will be critical in future work as a tool to first determine what the highest thermoelectric figure of merit one can expect from this alloy system at a given temperature and, second, as a tool to determine the optimum Sn content and doping level to achieve this figure of merit. The second important result of this work is the determination that the secondary phase inclusions that were observed to be present in the Pb1-xSnxTe made by mechanical alloying do not keep the material from having the same electrical and thermal transport that would be expected from “perfect" single crystal material at elevated temperatures. The analytical approach described in this work will be critical in future investigations to predict how changing the size, type, and volume fraction of secondary phase inclusions can be used to impact thermal and electrical transport in this materials system.