Made available in DSpace on 2016-08-15T20:31:26Z (GMT). No. of bitstreams: 1 RejaneSS_DISSERT.pdf: 2305548 bytes, checksum: 418124494d2c13cd40a5d285bfaec106 (MD5) Previous issue date: 2012-09-04 / Conselho Nacional de Desenvolvimento Científico e Tecnológico / This study evaluated the clinical, hematological, biochemical and blood gas responses and the oxidative stress in sheep submitted to hiperacute anemia and subsequently underwent to homologous transfusion with whole blood, either fresh, or stored for 15 or 35 days. Eighteen adult Santa Inez crossbred sheep, males and females, were used, weighing on average 52kg. The animals were submitted to a single phlebotomy to remove 40% of blood volume and equally divided into three experimental groups: G0 - animals receiving fresh blood; G15 receiving blood stored for 15 days; and G35 - receiving blood stored for 35 days. The animals were submitted to clinical examination and blood collection 24 h after induction of anemia (T0), 30 minutes after transfusion (T30), six, twelve, twenty-four, forty-eight, seventy-two and ninety-six hours post-transfusion (T6, T12, T24, T48, T72 and T96, respectively), and eight and sixteen days post-transfusion (T8d and T16d, respectively). The blood bags stored for 35 days showed an increase in K, pCO2, pO2, lactate, plasma hemoglobin and decreased plasma pH, sodium and leukocytes. The sheep transfused from all groups had increased GV, red cell count and total hemoglobin in the T30. The animals of the G35 had higher plasma hemoglobin in T12, a significant decrease in blood pH indicating a mild metabolic acidosis on T96. With respect to oxidative stress, was observed a decreased on catalase values of the G35 at T30, T6, T12 and T24, suggesting the occurrence of hemolysis witch was supported by the concomitant increase in the total bilirubin values at the same periods. Animals that received blood stored for 35 days showed higher alteration on hematological, blood gas, biochemical and oxidative stress parameters / O presente trabalho objetivou avaliar as respostas clínicas, hematológicas, bioquímicas, hemogasométricas e o estresse oxidativo de ovinos induzidos à anemia superaguda e transfundidos com sangue total fresco ou armazenado por dois diferentes períodos (15 e 35 dias). Foram utilizados 18 ovinos, machos e fêmeas, com idade entre 3 e 4 anos, pesando em media 52kg. Os animais foram submetidos a uma única flebotomia para retirada de 40% do volume sanguíneo e divididos em três grupos experimentais, sendo o G0 composto por animais que receberam sangue fresco, G15 e G35 animais que receberam sangue armazenado em bolsas CPDA-1 por 15 e 35 dias, respectivamente. Foi realizado exame clínico e coleta de amostras de sangue 24 horas pós-indução da anemia (T0), 30 minutos pós-transfusão (T30), seis, 12, 24, 48, 72 e 96 horas após à transfusão (T6, T12, T24, T48, T72, T96, respectivamente) e oito e dezesseis dias após à transfusão (T8d e T16d, respectivamente). O sangue armazenado por 35 dias apresentou aumento do potássio, pCO2, pO2, lactato, hemoglobina plasmática e diminuição do pH, sódio e leucócitos. Ovinos transfundidos no T30 apresentaram aumento significativo do VG, hemácias e hemoglobina total. Os animais do G35 apresentaram maiores valores de hemoglobina plasmática no T12 e diminuição do pH sanguíneo, caracterizando leve acidemia metabólica no T96. Com relação ao estresse oxidativo o G35 apresentou redução da catalase no T30, T6, T12 e T24, indicando a ocorrência de hemólise, o que foi corroborado pelo aumento concomitante da bilirrubina. Os animais que receberam sangue armazenado por 35 dias apresentaram maiores alterações hematológicas, hemogasométricas, bioquímicas e oxidativas

Made available in DSpace on 2014-10-09T12:42:10Z (GMT). No. of bitstreams: 0 / Made available in DSpace on 2014-10-09T14:04:57Z (GMT). No. of bitstreams: 0 / Dissertação (Mestrado) / IPEN/D / Instituto de Pesquisas Energeticas e Nucleares - IPEN-CNEN/SP

Made available in DSpace on 2014-10-09T12:42:10Z (GMT). No. of bitstreams: 0 / Made available in DSpace on 2014-10-09T14:04:57Z (GMT). No. of bitstreams: 0 / O processamento por radiação está presente em diversos produtos tais como: alimentos, materiais médicos descartáveis, cabos elétricos, gemas, entre outros. O uso da radiação tem a finalidade de melhorar as propriedades dos produtos, esterilizá-los ou higienizá-los. Nos irradiadores industriais, as radiações eletromagnéticas (gama e raios-X) ou de elétrons, antes de interagirem com os produtos em beneficiamento, encontram uma camada de ar. Ao interagirem com esta camada, provocam efeitos radiolíticos nas moléculas presentes na atmosfera ambiente, sendo a principal interação a que ocorre com as moléculas de oxigênio, que têm suas ligações quebradas, separando-se em dois átomos altamente reativos que, ao recombinarem com outra molécula de oxigênio, formam o gás ozônio. Neste trabalho foram estudadas a formação, o decaimento e a dispersão do ozônio em irradiadores industriais gama que utilizam como fonte de radiação o cobalto-60. O monitoramento da concentração de ozônio foi realizado pelo método de absorção óptica em um monitor comercial. / Dissertação (Mestrado) / IPEN/D / Instituto de Pesquisas Energeticas e Nucleares - IPEN-CNEN/SP

Submitted by Pedro Silva Filho (pfsilva@ipen.br) on 2017-11-17T16:46:06Z No. of bitstreams: 0 / Made available in DSpace on 2017-11-17T16:46:06Z (GMT). No. of bitstreams: 0 / No Brasil, principalmente na região Amazônica, o pescado representa uma importante fonte proteica, especialmente para as populações indígenas e ribeirinhas. Por outro lado, estudos demonstram altos níveis de mercúrio (Hg), nos pescados desta região. O Hg é conhecido por ser altamente neurotóxico e por possuir efeito bioacumulativo, sendo os peixes a principal via de contaminação pelo homem. Neste trabalho, foi realizado um estudo de bioacessibilidade in vitro de Hg total em espécies originadas da Amazônia central. O Hg foi determinado utilizando-se o analisador direto de mercúrio (DMA-80, Milestone Inc) com limite de detecção de 0,003 ng. Neste trabalho foi realizada a validação da metodologia e a validação da bioacessibilidade, juntamente com os cálculos de incerteza de ambos os processos. A validação analítica seguiu o DOQ-CGCRE-008-004 (INMETRO, 2016), tendo uma incerteza de 14,7%. Já a bioacessibilidade foi validada através da análise do material de referencia certificado: Dourada 1 (Brachyplatystoma Flavicans) (IPEN-Brasil), certificado para mercúrio total (0,271 &plusmn; 0,057 &mu;g g-1) considerando a quantidade de Hg recuperado em cada etapa do processo e o balanço de massa final do processo. Os resultados obtidos demostraram a robustez do procedimento com uma recuperação >90%, coeficiente de variação < 10%, limite de detecção de 0,01 &mu;g g-1 e o limite de quantificação de 0,1 &mu;g g-1 e incerteza de 25%. O estudo indicou que a média bioacessível do mercúrio total é de 60%, para as espécies carnívoras, e 45% para os não carnívoros, demonstrando que o mercúrio presente no tecido não é absorvido pelo organismo em sua totalidade. A especiação do MeHg, indicou que do total bioacessível apenas uma parcela de 80% é MeHg demonstrando que a absorção de Hg pelo corpo pode ser ainda menor. Estudos como esse são fundamentais para influenciar nas decisões regulatórias, agências de controle dos níveis permissíveis de contaminantes nos alimentos, visto que, somente avaliar a concentração total do contaminante e não considerar a sua bioacessibilidade pode levar a um equívoco quanto à segurança de consumo do alimento. / Dissertação (Mestrado em Tecnologia Nuclear) / IPEN/D / Instituto de Pesquisas Energéticas e Nucleares - IPEN-CNEN/SP

Submitted by JÚLIO HEBER SILVA (julioheber@yahoo.com.br) on 2017-04-10T18:58:09Z No. of bitstreams: 2 Dissertação - Diogo Pereira Veloso - 2017.pdf: 3906692 bytes, checksum: 8d731c4df11a717552eb2bbe8b58f5ea (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) / Approved for entry into archive by Luciana Ferreira (lucgeral@gmail.com) on 2017-04-11T12:52:13Z (GMT) No. of bitstreams: 2 Dissertação - Diogo Pereira Veloso - 2017.pdf: 3906692 bytes, checksum: 8d731c4df11a717552eb2bbe8b58f5ea (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) / Made available in DSpace on 2017-04-11T12:52:13Z (GMT). No. of bitstreams: 2 Dissertação - Diogo Pereira Veloso - 2017.pdf: 3906692 bytes, checksum: 8d731c4df11a717552eb2bbe8b58f5ea (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) Previous issue date: 2017-02-17 / Power transformers are essential equipment in eletric systems. Considered as highly expensive equipment it requires greater attention regarding the occurrence of failures. A failure on equipment can cause serious trouble to the concessionaire responsible for the generation, transmission and distribution of energy. In the present scenario, where legislation has increased the severity with which oversees these failures and demanding a higher efficiency of the same, it is necessary to create appropriate policies to investigas possible equipment failure. These failures can be caused by several factors, among them, the gases dissolved in the oil due to its degeneration. One of the most used techniques for the diagnosis of power transformers from these dissolved gases is the Duval Triangle, a method that has a precision and considerably high reliability. However, for proper planning of maintenance, avoiding a possible sudden withdrawal and supply cut, it is necessary to provide further information, including a quantitative analysis of the causes of failure and a history of the evolution of the operating status of the machine. To this end it is proposed to use a fuzzy logic by the method of Duval to provide an analysis of the transitions between the diagnostic originally presented to enable monitor the level of relevance of each possible cause for the diagnosis equipment allowing perform scheduled and preventive maintenance. The proposed methodology was validated using real data equipment in operation in the brazilian electric system. / Transformadores de potência são equipamentos essenciais em um sistema elétrico. São considerados equipamentos de alto custo que requerem uma maior atenção no que tange a ocorrência de falhas. Uma falha em um equipamento pode causar sérios prejuízos à concessionária responsável pela geração, transmissão e distribuição de energia. No cenário atual, onde a legislação vem sempre aumentado o rigor com que fiscaliza essas falhas e cobrando uma maior eficiência das mesmas, faz-se necessário criar políticas adequadas para investigas possíveis falhas nos equipamentos. Falhas essas que podem ser originadas por diversos fatores, dentre eles, pelos gases dissolvidos no óleo devido a sua degeneração. Um dos métodos mais utilizados para diagnóstico de transformadores de potência é a análise de gases dissolvidos utilizando o Triângulo de Duval, que apresenta uma precisão e confiabilidade consideravelmente altas. No entanto, para um planejamento adequado de manutenção, evitando uma possível retirada brusca do equipamento e corte no fornecimento, é necessário prover mais informações, incluindo uma análise quantitativa das causas das falhas e um histórico da evolução do estado operativo do equipamento. Para tanto propõe-se a utilização de uma lógica fuzzy junto ao método de Duval para fornecer uma análise das transições entre os diagnósticos apresentados originalmente de forma a permitir acompanhar a evolução do nível de pertinência de cada possível causa no diagnóstico do equipamento, possibilitando realizar manutenções programadas e preventivas. A metodologia proposta foi validada utilizando dados reais de equipamentos em operação no sistema slétrico brasileiro.

M. Ing. / Fault detection tools have gained popularity in recent years due to the increasing need for reliable and predictable equipments. Transformer bushings account for the majority of transformer faults. Hence, to uphold the integrity of the power transmission and dis- tribution system, a tool to detect and identify faults in their developing stage is necessary in transformer bushings. Among the numerous tools for bushings monitoring, dissolved gas analysis (DGA) is the most commonly used. The advances in DGA and data storage capabilities have resulted in large amount of data and ultimately, the data analysis crisis. Consequent to that, computational intelligence methods have advanced to deal with this data analysis problem and help in the decision-making process. Numerous computational intelligence approaches have been proposed for bushing fault detection. Most of these approaches focus on the accuracy of prediction and not much research has been allocated to investigate the interpretability of the decisions derived from these systems. This work proposes a rough set theory (RST) model for bushing fault detection based on DGA data analyzed using the IEEEc57.104 and the IEC 60599 standards. RST is a rule-based technique suitable for analyzing vague, uncertain and imprecise data. RST extracts rules from the data to model the system. These rules are used for prediction and interpreting the decision process. The lesser the number of rules, the easier it is to interpret the model. The performance of the RST is dependent on the discretization technique employed. An equal frequency bin (EFB), Boolean reasoning (BR) and entropy partition (EP) are used to develop an RST model. The model trained using EFB data performs better than the models trained using BR and EP. The accuracy achieved is 96.4%, 96.0% and 91.3% for EFB, BR and EP respectively. This work also pro poses an ant colony optimization (ACO) for discretization. A model created using ACO discretized achieved an accuracy of 96.1%, which is compatible with the three methods above. When considering the overall performance, the ACO is a better discretization tool since it produces an accurate model with the least number of rules. The rough set tool proposed in this work is benchmarked against a multi-layer perceptron (MLP) and radial basis function (RBF) neural networks. Results prove that RST modeling for bushing is equally as capable as the MLP and better than RBF. The RST, MLP and RBF are used in an ensemble of classifiers. The ensemble performs better than the standalone models.

This study uses energy and greenhouse gas (GHG) balances to evaluate how the scale of sugarcane cultivation affects the performance of a sugarcane bioenergy system generating exportable electricity from bagasse. Small-, medium-, large- and miller-planter systems, with cane field areas of less than 10 ha, 10 – 42 ha, 42 – 2000 ha, more than 2000 ha respectively, were modelled. Each of them also has different combinations of manual and mechanical agricultural operations, resulting in different cane yields. Miller-planter system (fully mechanised) performs best with energy yield ratio of 10.99, GHG emissions in bagasse electricity of 0.0633 kg CO2eq/kWh and avoided life cycle GHG emissions of 82.07% when replacing electricity from coal, whereas small-planter system (fully manual) has the worst performance with energy yield ratio of 6.82, GHG emissions in bagasse electricity of 0.0881 kg CO2eq/kWh and avoided life cycle GHG emissions of 75.03% when substituting electricity from coal. Sensitivity analyses show that relative performances of all sugarcane planter systems both in terms of energy and GHG emissions are not significantly affected by variations in bagasse allocation factor, in sugarcane yield and in fertiliser input (the most energy-intensive and GHG-emitting component). Moreover, they confirm miller-planter system as the overall best performer and indicate that increasing small-planters’ cane yield is the critical measure to improve their energy analysis performance. In terms of the nature of agricultural operations, mechanical operations do not necessarily require more input energy than their manual counterparts, contrary to common belief. This is the case for fertilisation, irrigation and cane loading. Fully mechanised sugarcane production at miller-planter scale is therefore strongly encouraged.

This dissertation thesis is focused on the evaluation of the dissolved gas analysis in the power oil transformer diagnosis. This thesis derives from known, in standards, directives and literature shows realities which are fill in new pieces of knowledge as determining of gases important for evaluation of the transformer condition, specifying of current methods accuracy and investigating of accuracy change for interpretation of dissolved gases. The part of this thesis is the application of mathematic methods for detailed description of individual transformer failures and determining of dominant gas which are generating in power oil transformer. Obtain conclusion will be contribution for transformer diagnostics and will be applicable in industrial practice.

The non-metallic inclusions (NMI) have large influence on steel properties. Therefore, evaluation of inclusion size, number, composition and morphology by using modern analytical techniques are very important for control of steel production and steel quality. Three dimensional analysis method of electrolytic extraction is applied in this work. Metals are dissolved and undissolved inclusions are collected on the film filter. Scanning Electron Microscope (SEM) with Energy Dispersive Spectrometer (EDS) is applied to observe different non-metallic inclusions. Apart from electrolytic extraction, several other different methods can be used to analyse the inclusions. Each of them has their advantages and drawbacks. A part of this work compares different methods for investigation of inclusions. To modify the inclusion size, number and morphology, calcium or zirconium can be added in to the steel with certain amount according to the steel grade. This work discussed how inclusion size, number and morphology changed after the modification. In samples of Heat A, the addition of Zr leads to the appearance of ZrO2 clusters. Large size particles disappeared while the peak value for the number of inclusions per unit volume didn’t decrease. The electrolytic extraction and fractional gas analysis (FGA) results show some differences on the inclusion compositions. In samples of Heats B and C, the effect of calcium treatment is investigated. Calcium treatment modified the spinels with large content of Al2O3 into spherical CaS+CaO-MgO-Al2O3 inclusions. Large size inclusions were removed after calcium treatment.Key

Lithium ion batteries (LIBs) are widely used for storing and converting chemical energy into electrical energy. During battery operation, lithium ions move between electrode materials, enabling energy storage. However, aging mechanisms like lithium plating can negatively impact battery performance and lifetime. Lithium plating occurs when lithium ions are reduced to metallic lithium on the graphite electrode. The undesired Li plating in LIBs leads to dendrite formation that may puncture the separator, causing internal short-circuit and ultimately thermal runaway. This study aims to investigate the internal processes of LIBs during charge and discharge. Two analysis methods are employed: online electrochemical mass spectrometry (OEMS) and acoustic emission monitoring (AEM). OEMS is a gas analysis technique that combines electrochemical measurements with mass spectrometry to provide real-time testing of cells. OEMS allows identifying and quantifying gas evolution/consumption of chemical species. AE is a diagnostic tool, offering monitoring the health of LIBs through detection and characterisation of stress waves produced by parasitic mechano-electrochemical events. The results indicates that the formation of SEI thin film layer, generated gases like hydrogen and ethylene, while consuming carbon dioxide. During induced lithium plating, hydrogen and carbon dioxide were consumed, and ethylene gas was produced, due to new SEI film formation process. The acoustic emission analysis indicated that lithium plating was an active process, whereas SEI formation was less AE active. Further research is needed to understand the relationships and significance of these processes for battery performance and safety. Overall, this study highlighted the importance of investigating aging mechanisms in LIBs to enhance their performance and longevity. By combining OEMS and AE, it was possible to analyse the batteries behaviour during cycling. The evolution of gas and acoustic signals provided insights into the reactions and processes occurring inside the battery during cycling.