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Prof. Dr. Thiago Antonini Alves
Federal University of Technology - Parana

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0 Conduction
0 Convection
0 Energy
0 Energy Engineering
0 Heat Transfer

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expérimental
Convection
Heat Transfer
heat pipe
Numerical
Conduction
thermosyphon
Energy

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Journal article
Published: 11 January 2021 in IEEE Access
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The air pollution caused by particulate matter (PM) has become a public health issue due to the risks to human life and the environment. The PM concentration in the air causes haze and affects the lungs and the heart, leading to reduced visibility, allergic reactions, pneumonia, asthma, cardiopulmonary diseases, lung cancer, and even death. In this context, the development of systems for monitoring, forecasting, and controlling emissions plays an important role. The literature about forecasting systems based on Artificial Neural Networks (ANNs) ensembles has been highlighted regarding statistical accuracy and efficiency. In this paper, trainable and non-trainable combination methods are used for PM10 and PM2.5 (particles with an aerodynamic diameter less than 10 and 2.5 micrometers, respectively) time series forecasting for eight different locations, in Finland and Brazil, for different periods. Trainable ensembles based on ANNs, linear regression, and Copulas are compared with non-trainable combinations (mean and median), single ANNs, and linear statistical approaches. Different models are considered so far, including Autoregressive model (AR), Autoregressive and Moving Average Model (ARMA), Infinite Impulse Response Filters (IIR), Multilayer Perceptron (MLP), Radial Basis Function Networks (RBF), Extreme Learning Machines (ELM), Echo State Networks (ESN), and Adaptive Network Fuzzy Inference System (ANFIS). The use of ANNs ensembles, mainly combined with MLP, leads to a better one step ahead forecasting performance. The use of robust air pollution forecasting tools is prime to assist governments in managing air pollution issues like hospital collapse during adverse air quality situations. In this sense, our study is indirectly related to the following United Nations sustainable development goals: SDG 3 - good health and well-being and SDG 11 - sustainable cities and communities.

ACS Style

Paulo S. G. De Mattos Neto; Paulo Renato A. Firmino; Hugo Siqueira; Yara De Souza Tadano; Thiago Antonini Alves; Joao Fausto L. De Oliveira; Manoel Henrique Da Nobrega Marinho; Francisco Madeiro. Neural-Based Ensembles for Particulate Matter Forecasting. IEEE Access 2021, 9, 14470 -14490.

AMA Style

Paulo S. G. De Mattos Neto, Paulo Renato A. Firmino, Hugo Siqueira, Yara De Souza Tadano, Thiago Antonini Alves, Joao Fausto L. De Oliveira, Manoel Henrique Da Nobrega Marinho, Francisco Madeiro. Neural-Based Ensembles for Particulate Matter Forecasting. IEEE Access. 2021; 9 (99):14470-14490.

Chicago/Turabian Style

Paulo S. G. De Mattos Neto; Paulo Renato A. Firmino; Hugo Siqueira; Yara De Souza Tadano; Thiago Antonini Alves; Joao Fausto L. De Oliveira; Manoel Henrique Da Nobrega Marinho; Francisco Madeiro. 2021. "Neural-Based Ensembles for Particulate Matter Forecasting." IEEE Access 9, no. 99: 14470-14490.

Journal article
Published: 01 January 2021 in Energy Engineering
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ACS Style

L. Krambeck; G. A. Bartmeyer; D. O. Souza; D.Fus鉶; P. H. D. Santos; T. Antonini Alves. Experimental Thermal Performance of Different Capillary Structures for Heat Pipes. Energy Engineering 2021, 118, 1 -14.

AMA Style

L. Krambeck, G. A. Bartmeyer, D. O. Souza, D.Fus鉶, P. H. D. Santos, T. Antonini Alves. Experimental Thermal Performance of Different Capillary Structures for Heat Pipes. Energy Engineering. 2021; 118 (1):1-14.

Chicago/Turabian Style

L. Krambeck; G. A. Bartmeyer; D. O. Souza; D.Fus鉶; P. H. D. Santos; T. Antonini Alves. 2021. "Experimental Thermal Performance of Different Capillary Structures for Heat Pipes." Energy Engineering 118, no. 1: 1-14.

Journal article
Published: 01 January 2021 in Thermal Science
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The thermosyphon is a type of heat exchanger that has been widely used in many applications. The use of thermosyphons has been intensified in recent years, mainly in the manufacture of solar collectors and various industrial activities. A thermosyphon is a vertical sealed tube filled with a working fluid, consisting of, from bottom to top, by an evaporator, an adiabatic section, and a condenser. The study of geyser-boiling phenomena, which occurs inside the thermosyphon is of extreme importance, therefore the experimental analysis of the parameters related to the two-phase flow (liquid-steam), such as void fraction, bubble frequency, bubble velocity, and bubble length are necessary, since these parameters have a significant influence on heat transfer. In this work, a pair of wire mesh sensors was used, a relative innovative technology to obtain experimental values of the reported quantities for measuring these parameters of slug flow in thermosyphons. An experimental setup is assembled and the sensors are coupled to the thermosyphon enabling the development of the experimental procedure. Here is presented an experimental study of a glass thermosyphon instrumented with two Wire-Mesh Sensors, in which the aforementioned slug flow hydrodynamic parameters inherent to the geyser type boiling process are measured. It was measured successfully, as a function of the heat load (110, 120, 130, 140, and 150W), the void fraction (instantly and average), liquid film thickness, translation velocity of the elongated bubbles, lengths of the bubbles, and the liquid slug (displaced by the bubble rise up). It was observed that the higher the heat load, the lower is the bubble translation velocity. For all heat loads, based on the measured length of liquid slug (consequent displacement of liquid volume), caused by bubbles rise from evaporator to condenser, it could be affirmed to some extent that both boiling regime (pool and film) exist in the evaporator. The measured average void fraction (80%) and liquid film thickness (around 2.5mm) during the elongated bubble passages were approximately constant and independent of the heat load.

ACS Style

de Souza Diógenes Oliveira; Machado Pedro Leineker Ochoski; Conrado Chiarello; Dos Santos Eduardo Nunes; Silva Marco José da; Dos Santos Paulo Henrique Dias; Alves Thiago Antonini. Experimental study of hydrodynamic parameters regarding on geyser boiling phenomenon in glass thermosyphon using wire-mesh sensor. Thermal Science 2021, 221 -221.

AMA Style

de Souza Diógenes Oliveira, Machado Pedro Leineker Ochoski, Conrado Chiarello, Dos Santos Eduardo Nunes, Silva Marco José da, Dos Santos Paulo Henrique Dias, Alves Thiago Antonini. Experimental study of hydrodynamic parameters regarding on geyser boiling phenomenon in glass thermosyphon using wire-mesh sensor. Thermal Science. 2021; (00):221-221.

Chicago/Turabian Style

de Souza Diógenes Oliveira; Machado Pedro Leineker Ochoski; Conrado Chiarello; Dos Santos Eduardo Nunes; Silva Marco José da; Dos Santos Paulo Henrique Dias; Alves Thiago Antonini. 2021. "Experimental study of hydrodynamic parameters regarding on geyser boiling phenomenon in glass thermosyphon using wire-mesh sensor." Thermal Science , no. 00: 221-221.

Journal article
Published: 07 September 2020 in Sustainability
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Particulate matter (PM) is one of the most harmful air pollutants to human health studied worldwide. In this scenario, it is of paramount importance to monitor and predict PM concentration. Artificial neural networks (ANN) are commonly used to forecast air pollution levels due to their accuracy. The use of partition on prediction problems is well known because decomposition of time series allows the latent components of the original series to be revealed. It is a matter of extracting the “deterministic” component, which is easy to predict the random components. However, there is no evidence of its use in air pollution forecasting. In this work, we introduce a different approach consisting of the decomposition of the time series in contiguous monthly partitions, aiming to develop specialized predictors to solve the problem because air pollutant concentration has seasonal behavior. The goal is to reach prediction accuracy higher than those obtained by using the entire series. Experiments were performed for seven time series of daily particulate matter concentrations (PM2.5 and PM10–particles with diameter less than 2.5 and 10 micrometers, respectively) in Finland and Brazil, using four ANNs: multilayer perceptron, radial basis function, extreme learning machines, and echo state networks. The experimental results using three evaluation measures showed that the proposed methodology increased all models’ prediction capability, leading to higher accuracy compared to the traditional approach, even for extremely high air pollution events. Our study has an important contribution to air quality prediction studies. It can help governments take measures aiming air pollution reduction and preparing hospitals during extreme air pollution events, which is related to the following United Nations sustainable developments goals: SDG 3—good health and well-being and SDG 11—sustainable cities and communities.

ACS Style

Paulo De Mattos Neto; Manoel Henrique Nóbrega Marinho; Hugo Siqueira; Yara De Souza Tadano; Vivian Machado; Thiago Antonini Alves; João De Oliveira; Francisco Madeiro. A Methodology to Increase the Accuracy of Particulate Matter Predictors Based on Time Decomposition. Sustainability 2020, 12, 7310 .

AMA Style

Paulo De Mattos Neto, Manoel Henrique Nóbrega Marinho, Hugo Siqueira, Yara De Souza Tadano, Vivian Machado, Thiago Antonini Alves, João De Oliveira, Francisco Madeiro. A Methodology to Increase the Accuracy of Particulate Matter Predictors Based on Time Decomposition. Sustainability. 2020; 12 (18):7310.

Chicago/Turabian Style

Paulo De Mattos Neto; Manoel Henrique Nóbrega Marinho; Hugo Siqueira; Yara De Souza Tadano; Vivian Machado; Thiago Antonini Alves; João De Oliveira; Francisco Madeiro. 2020. "A Methodology to Increase the Accuracy of Particulate Matter Predictors Based on Time Decomposition." Sustainability 12, no. 18: 7310.

Journal article
Published: 16 August 2020 in Energies
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The forecasting of monthly seasonal streamflow time series is an important issue for countries where hydroelectric plants contribute significantly to electric power generation. The main step in the planning of the electric sector’s operation is to predict such series to anticipate behaviors and issues. In general, several proposals of the literature focus just on the determination of the best forecasting models. However, the correct selection of input variables is an essential step for the forecasting accuracy, which in a univariate model is given by the lags of the time series to forecast. This task can be solved by variable selection methods since the performance of the predictors is directly related to this stage. In the present study, we investigate the performances of linear and non-linear filters, wrappers, and bio-inspired metaheuristics, totaling ten approaches. The addressed predictors are the extreme learning machine neural networks, representing the non-linear approaches, and the autoregressive linear models, from the Box and Jenkins methodology. The computational results regarding five series from hydroelectric plants indicate that the wrapper methodology is adequate for the non-linear method, and the linear approaches are better adjusted using filters.

ACS Style

Hugo Siqueira; Mariana Macedo; Yara De Souza Tadano; Thiago Antonini Alves; Jr. Sergio L. Stevan; Jr. Domingos S. Oliveira; Manoel H.N. Marinho; Paulo S.G. De Mattos Neto; João F. L. De Oliveira; Ivette Luna; Marcos De Almeida Leone Filho; Leonie Asfora Sarubbo; Attilio Converti. Selection of Temporal Lags for Predicting Riverflow Series from Hydroelectric Plants Using Variable Selection Methods. Energies 2020, 13, 4236 .

AMA Style

Hugo Siqueira, Mariana Macedo, Yara De Souza Tadano, Thiago Antonini Alves, Jr. Sergio L. Stevan, Jr. Domingos S. Oliveira, Manoel H.N. Marinho, Paulo S.G. De Mattos Neto, João F. L. De Oliveira, Ivette Luna, Marcos De Almeida Leone Filho, Leonie Asfora Sarubbo, Attilio Converti. Selection of Temporal Lags for Predicting Riverflow Series from Hydroelectric Plants Using Variable Selection Methods. Energies. 2020; 13 (16):4236.

Chicago/Turabian Style

Hugo Siqueira; Mariana Macedo; Yara De Souza Tadano; Thiago Antonini Alves; Jr. Sergio L. Stevan; Jr. Domingos S. Oliveira; Manoel H.N. Marinho; Paulo S.G. De Mattos Neto; João F. L. De Oliveira; Ivette Luna; Marcos De Almeida Leone Filho; Leonie Asfora Sarubbo; Attilio Converti. 2020. "Selection of Temporal Lags for Predicting Riverflow Series from Hydroelectric Plants Using Variable Selection Methods." Energies 13, no. 16: 4236.

Journal article
Published: 28 May 2020 in Acta Scientiarum. Technology
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This paper presents an experimental study on three different capillary structure technologies of heat pipes for application in the thermal management of electronic packaging. The first capillary structure is that of axial grooves manufactured by wire electrical discharge machining (wire-EDM). The sintering process with copper powder produced the second heat pipe. Finally, a hybrid heat pipe was made by the combination of the two previous methods. The heat pipes were produced using copper tubes with an outer diameter of 9.45 mm and a length of 200 mm, and were tested horizontally at increasing heat loads varying from 5 to 35 W. The working fluid used was distilled water. The experimental results showed that all capillary structures for heat pipes worked successfully, so the studied manufacturing methods are suitable. Nonetheless, the hybrid heat pipe is the best, due to the lowest thermal resistance presented.

ACS Style

Larissa Krambeck; Guilherme Antonio Bartmeyer; Davi Fusão; Paulo Henrique Dias Dos Santos; Thiago Antonini Alves. Experimental research of capillary structure technologies for heat pipes. Acta Scientiarum. Technology 2020, 42, e48189 -e48189.

AMA Style

Larissa Krambeck, Guilherme Antonio Bartmeyer, Davi Fusão, Paulo Henrique Dias Dos Santos, Thiago Antonini Alves. Experimental research of capillary structure technologies for heat pipes. Acta Scientiarum. Technology. 2020; 42 ():e48189-e48189.

Chicago/Turabian Style

Larissa Krambeck; Guilherme Antonio Bartmeyer; Davi Fusão; Paulo Henrique Dias Dos Santos; Thiago Antonini Alves. 2020. "Experimental research of capillary structure technologies for heat pipes." Acta Scientiarum. Technology 42, no. : e48189-e48189.

Journal article
Published: 28 May 2020 in Acta Scientiarum. Technology
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Air pollution is a relevant issue studied worldwide, and its prediction is important for social and economic management. Linear multivariate regression models (LMR) and artificial neural networks (ANN) are widely applied to forecasting concentrations of pollutants. However, unorganized machines are scarcely used. The present investigation proposes the application of unorganized machines (echo state networks - ESN and extreme learning machines - ELM) to forecast hourly concentrations of particulate matter with the aerodynamic diameter up to 10 µm (PM10), carbon monoxide (CO), and ozone (O3) at the metropolitan region of Recife, Pernambuco, Brazil. The results were compared with multilayer perceptron neural network (MLP) and LMR. The prediction was made using or not meteorological variables (wind speed, temperature, and relative humidity) as input data. The results showed that the inclusion of these variables could increase the general performance of the models considering one step ahead forecasting horizons. Also, the ELM and the LMR achieved the best overall results.

ACS Style

Daniel Silva Campos; Yara De Souza Tadano; Thiago Antonini Alves; Hugo Valadares Siqueira; Manoel Henrique Nóbrega Marinho. Unorganized machines and linear multivariate regression model applied to atmospheric pollutant forecasting. Acta Scientiarum. Technology 2020, 42, e48203 -e48203.

AMA Style

Daniel Silva Campos, Yara De Souza Tadano, Thiago Antonini Alves, Hugo Valadares Siqueira, Manoel Henrique Nóbrega Marinho. Unorganized machines and linear multivariate regression model applied to atmospheric pollutant forecasting. Acta Scientiarum. Technology. 2020; 42 ():e48203-e48203.

Chicago/Turabian Style

Daniel Silva Campos; Yara De Souza Tadano; Thiago Antonini Alves; Hugo Valadares Siqueira; Manoel Henrique Nóbrega Marinho. 2020. "Unorganized machines and linear multivariate regression model applied to atmospheric pollutant forecasting." Acta Scientiarum. Technology 42, no. : e48203-e48203.

Journal article
Published: 26 March 2020 in Sustainability
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The emission of pollutants from vehicles is presented as a prime factor deteriorating air quality. Thus, seeking public policies encouraging the use and the development of more sustainable vehicles is paramount to preserve populations’ health. To better understand the health risks caused by air pollution and exclusively by mobile sources urges the question of which input variables should be considered. Therefore, this research aims to estimate the impacts on populations’ health related to road transport variables for São Paulo, Brazil, the largest metropolis in South America. We used three Artificial Neural Networks (ANN) (Multilayer Perceptron—MLP, Extreme Learning Machines—ELM, and Echo State Neural Networks—ESN) to estimate the impacts of carbon monoxide, nitrogen oxides, ozone, sulfur dioxide, and particulate matter on outcomes for respiratory diseases (morbidity—hospital admissions and mortality). We also used unusual inputs, such as road vehicles fleet, distributed and sold fuels amount, and vehicle average mileage. We also used deseasonalization and the Variable Selection Methods (VSM) (Mutual Information Filter and Wrapper). The results showed that the VSM excluded some variables, but the best performances were reached considering all of them. The ELM achieved the best overall results to morbidity, and the ESN to mortality, both using deseasonalization. Our study makes an important contribution to the following United Nations Sustainable Development Goals: 3—good health and well-being, 7—affordable and clean energy, and 11—sustainable cities and communities. These research findings will guide government about future legislations, public policies aiming to warranty and improve the health system.

ACS Style

Yslene Kachba; Daiane Maria De Genaro Chiroli; Jônatas T. Belotti; Thiago Antonini Alves; Yara De Souza Tadano; Hugo Siqueira. Artificial Neural Networks to Estimate the Influence of Vehicular Emission Variables on Morbidity and Mortality in the Largest Metropolis in South America. Sustainability 2020, 12, 2621 .

AMA Style

Yslene Kachba, Daiane Maria De Genaro Chiroli, Jônatas T. Belotti, Thiago Antonini Alves, Yara De Souza Tadano, Hugo Siqueira. Artificial Neural Networks to Estimate the Influence of Vehicular Emission Variables on Morbidity and Mortality in the Largest Metropolis in South America. Sustainability. 2020; 12 (7):2621.

Chicago/Turabian Style

Yslene Kachba; Daiane Maria De Genaro Chiroli; Jônatas T. Belotti; Thiago Antonini Alves; Yara De Souza Tadano; Hugo Siqueira. 2020. "Artificial Neural Networks to Estimate the Influence of Vehicular Emission Variables on Morbidity and Mortality in the Largest Metropolis in South America." Sustainability 12, no. 7: 2621.

Original papers
Published: 01 January 2020 in Brazilian Journal of Development
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A revisão sistemática é uma pesquisa que possibilita a obtenção de respostas referentes a questões bem definidas, visando identificar, selecionar, avaliar e sintetizar as informações mais relevantes a respeito de um determinado tema, utilizando a literatura como base de dados. O objetivo desse artigo é constatar se a aplicação de nanofluidos como fluido de trabalho de trocadores de calor é praticável e se está sendo utilizada. Desta forma foi realizada uma pesquisa utilizando uma Revisão Sistemática da Literatura (RSL), através da consulta de periódicos do portal da CAPES, buscando identificar trabalhos científicos que relacionam os temas: “Trocadores de Calor” e “Nanofluidos”. Os resultados demonstram que o tema é atual e encontra-se em ascensão.

ACS Style

Felipe Mercês Biglia; Raquel Da Cunha Ribeiro Da Silva; Thiago Antonini Alves. Uma Revisão Sistemática da Literatura sobre a Utilização de Nanofluidos em Trocadores de Calor. Brazilian Journal of Development 2020, 6, 21988 -22000.

AMA Style

Felipe Mercês Biglia, Raquel Da Cunha Ribeiro Da Silva, Thiago Antonini Alves. Uma Revisão Sistemática da Literatura sobre a Utilização de Nanofluidos em Trocadores de Calor. Brazilian Journal of Development. 2020; 6 (4):21988-22000.

Chicago/Turabian Style

Felipe Mercês Biglia; Raquel Da Cunha Ribeiro Da Silva; Thiago Antonini Alves. 2020. "Uma Revisão Sistemática da Literatura sobre a Utilização de Nanofluidos em Trocadores de Calor." Brazilian Journal of Development 6, no. 4: 21988-22000.

Journal article
Published: 31 December 2019 in Revista Gestão Industrial
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Coletores solares são dispositivos que aquecem um fluido de trabalho por meio da irradiação solar. Um tipo de coletor solar de destaque é o de tubos à vácuo que utiliza termossifões como meio de transporte de energia térmica, permitindo que esses coletores apresentem elevada eficiência e sejam mais compactos. Neste trabalho foi realizado um estudo experimental do desempenho térmico de um termossifão comercial para aplicação em coletores solares de tubos à vácuo de alta pressão na inclinação de 25° em relação à horizontal, referente à latitude da cidade de Ponta Grossa/PR: 25° 05' 42" Sul. O termossifão possui comprimento do evaporador de 1.700 mm, diâmetro do evaporador e da seção adiabática de 8,2mm, comprimento da seção adiabática de 40 mm, comprimento do condensador de 60 mm e diâmetro do condensador de 14,1 mm. O condensador foi arrefecido por convecção forçada de água. O evaporador foi aquecido utilizando um resistor elétrico simulando a irradiação solar. O termossifão foi testado com o condensador acima do evaporador para cargas térmicas de 20W a 60W. Os resultados experimentais mostraram que o termossifão comercial operou satisfatoriamente à inclinação de 25° em relação à horizontal e está apto a operar em um coletor solar de tubos a vácuo de alta pressão nessas condições.

ACS Style

Pedro Leineker Ochoski Machado; Kaciane Aparecida Basílio; Rogério De Oliveira Souza; Guilherme Antonio Bartmeyer; Thiago Antonini Alves. Contribuindo ao desenvolvimento sustentável: testes experimentais de um termossifão para aplicação em coletor solar de tubos a vácuo de alta pressão. Revista Gestão Industrial 2019, 15, 1 .

AMA Style

Pedro Leineker Ochoski Machado, Kaciane Aparecida Basílio, Rogério De Oliveira Souza, Guilherme Antonio Bartmeyer, Thiago Antonini Alves. Contribuindo ao desenvolvimento sustentável: testes experimentais de um termossifão para aplicação em coletor solar de tubos a vácuo de alta pressão. Revista Gestão Industrial. 2019; 15 (4):1.

Chicago/Turabian Style

Pedro Leineker Ochoski Machado; Kaciane Aparecida Basílio; Rogério De Oliveira Souza; Guilherme Antonio Bartmeyer; Thiago Antonini Alves. 2019. "Contribuindo ao desenvolvimento sustentável: testes experimentais de um termossifão para aplicação em coletor solar de tubos a vácuo de alta pressão." Revista Gestão Industrial 15, no. 4: 1.

Book chapter
Published: 30 October 2019 in Advanced Thermoelectric Materials for Energy Harvesting Applications
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In this chapter, experimental analysis of the direct conversion of thermal energy into electric energy was carried out, in order to encourage the conscious use of energy and to reduce waste. The conversion of thermal energy into electrical energy occurs in a thermoelectric generator through the Seebeck effect. This effect is associated with the appearance of an electric potential difference between two different materials, placed in contact at different temperatures. This relation between temperature and electrical properties of the material is known as thermoelectricity. This experimental study has as objective the obtaining of operating characteristic curves of the thermoelectric generator TEG1-12611-6.0, for different temperature gradients and under constant pressure between the heater plate and the heat sink. Resistors were used to heat the thermoelectric generator, which simulates the residual heat, and insulation material to minimize the dissipation of heat to the environment. For cooling, a heat exchanger was used in order to maximize the temperature difference between the sides of the thermoelectric generator. In this way, it was possible to perform an experimental analysis of the obtained electric power for different temperature ranges between the faces of the generator and, with this, verify the applicability in real systems.

ACS Style

Luis Vitorio Gulineli Fachini; Pedro Leineker Ochoski Machado; Larissa Krambeck; Romeu Miqueias Szmoski; Thiago Antonini Alves. Heat Recovery and Power Generation Using Thermoelectric Generator. Advanced Thermoelectric Materials for Energy Harvesting Applications 2019, 1 .

AMA Style

Luis Vitorio Gulineli Fachini, Pedro Leineker Ochoski Machado, Larissa Krambeck, Romeu Miqueias Szmoski, Thiago Antonini Alves. Heat Recovery and Power Generation Using Thermoelectric Generator. Advanced Thermoelectric Materials for Energy Harvesting Applications. 2019; ():1.

Chicago/Turabian Style

Luis Vitorio Gulineli Fachini; Pedro Leineker Ochoski Machado; Larissa Krambeck; Romeu Miqueias Szmoski; Thiago Antonini Alves. 2019. "Heat Recovery and Power Generation Using Thermoelectric Generator." Advanced Thermoelectric Materials for Energy Harvesting Applications , no. : 1.

Journal article
Published: 23 October 2019 in Environmental Modelling & Software
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Estimating of daily hospital admissions due to air pollution is a leading issue in environmental science. To better understand this problem, it is essential to improve the applied methodologies. The use of Generalized Linear Models (GLM) is well known. However, they may be improved using different methods to coefficients estimation and to consider seasonality. Alternative methodologies, rarely applied in such topic, are Artificial Neural Networks (ANN), efficient to solve non-linear problems and; ensembles, which combine various models outputs. This research aims to apply 10 distinct ANN and 4 ensemble to estimate hospital admissions for respiratory diseases caused by particulate matter and meteorological variables of Campinas and São Paulo cities, Brazil. In addition, a new proposal of GLM was introduced, considering coefficients calculation via particle swarm optimization and seasonality via normalization procedure. ANN and ensembles use showed significant improvements and may allow studies into areas with flawing database, developing countries reality.

ACS Style

Lilian N. Araujo; Jônatas T. Belotti; Thiago Antonini Alves; Yara De Souza Tadano; Hugo Siqueira. Ensemble method based on Artificial Neural Networks to estimate air pollution health risks. Environmental Modelling & Software 2019, 123, 104567 .

AMA Style

Lilian N. Araujo, Jônatas T. Belotti, Thiago Antonini Alves, Yara De Souza Tadano, Hugo Siqueira. Ensemble method based on Artificial Neural Networks to estimate air pollution health risks. Environmental Modelling & Software. 2019; 123 ():104567.

Chicago/Turabian Style

Lilian N. Araujo; Jônatas T. Belotti; Thiago Antonini Alves; Yara De Souza Tadano; Hugo Siqueira. 2019. "Ensemble method based on Artificial Neural Networks to estimate air pollution health risks." Environmental Modelling & Software 123, no. : 104567.

Book chapter
Published: 11 July 2018 in Bringing Thermoelectricity into Reality
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ACS Style

Thiago Antonini Alves; Larissa Krambeck; Paulo H. Dias Dos Santos. Heat Pipe and Thermosyphon for Thermal Management of Thermoelectric Cooling. Bringing Thermoelectricity into Reality 2018, 1 .

AMA Style

Thiago Antonini Alves, Larissa Krambeck, Paulo H. Dias Dos Santos. Heat Pipe and Thermosyphon for Thermal Management of Thermoelectric Cooling. Bringing Thermoelectricity into Reality. 2018; ():1.

Chicago/Turabian Style

Thiago Antonini Alves; Larissa Krambeck; Paulo H. Dias Dos Santos. 2018. "Heat Pipe and Thermosyphon for Thermal Management of Thermoelectric Cooling." Bringing Thermoelectricity into Reality , no. : 1.

Journal article
Published: 30 June 2018 in Revista de Engenharia Térmica
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In this research, a heat pipe with screen-covered groove capillary structure was experimentally analyzed. The heat pipe was manufactured from a copper tube with the external diameter of 9.45mm, inner diameter of 6.20mm, and a total length of 200mm. A Wire Electrical Discharge Machining, or Wire-EDM, was used to manufacture axial microgrooves in the heat pipe. A layer of phosphor bronze mesh #100 completed the capillary structure. Distilled water was the working fluid and the loading filling ratio was 60% of the evaporator volume. The condenser was cooled by air forced convection, the adiabatic section was insulated with fiberglass, and the evaporator was heated by an electrical resistor and it was insulated from the environment with aeronautic insulation. The heat pipe was tested in horizontal position, under different heat loads varying from 5 up to 30W. The experimental results showed that the screen-covered groove worked satisfactorily as a capillary structure.

ACS Style

L. Krambeck; G. A. Bartmeyer; P. H. D. Santos; T. Antonini Alves. EXPERIMENTAL ANALYSIS OF A SCREEN-COVERED GROOVE HEAT PIPE. Revista de Engenharia Térmica 2018, 17, 58 -62.

AMA Style

L. Krambeck, G. A. Bartmeyer, P. H. D. Santos, T. Antonini Alves. EXPERIMENTAL ANALYSIS OF A SCREEN-COVERED GROOVE HEAT PIPE. Revista de Engenharia Térmica. 2018; 17 (1):58-62.

Chicago/Turabian Style

L. Krambeck; G. A. Bartmeyer; P. H. D. Santos; T. Antonini Alves. 2018. "EXPERIMENTAL ANALYSIS OF A SCREEN-COVERED GROOVE HEAT PIPE." Revista de Engenharia Térmica 17, no. 1: 58-62.

Journal article
Published: 26 June 2018 in Semina: Ciências Exatas e Tecnológicas
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Neste trabalho foi apresentada uma solução híbrida analítico-numérica do problema de transferência de calor de escoamento laminar desenvolvido e termicamente em desenvolvimento de fluidos Newtonianos no interior de dutos bicônicos utilizando a Técnica da Transformada Integral Generalizada (TTIG). Para facilitar o tratamento analítico e a aplicação das condições de contorno uma Transformação Conforme foi utilizada visando transformar o domínio em um sistema de coordenadas mais apropriado. Feito isso, a TTIG foi aplicada na equação da energia para determinação da distribuição de temperatura. Os resultados foram obtidos para parâmetros térmicos de interesse, tais como: temperatura média de mistura, números de Nusselt local e médio e o comprimento de entrada térmica.

ACS Style

Thiago Antonini Alves; Ricardo Alan Verdú Ramos; Cassio Roberto Macedo Maia. Uma Solução Híbrida Analítico-Numérica para o Problema Térmico em Dutos Bicônicos. Semina: Ciências Exatas e Tecnológicas 2018, 39, 19 -27.

AMA Style

Thiago Antonini Alves, Ricardo Alan Verdú Ramos, Cassio Roberto Macedo Maia. Uma Solução Híbrida Analítico-Numérica para o Problema Térmico em Dutos Bicônicos. Semina: Ciências Exatas e Tecnológicas. 2018; 39 (1):19-27.

Chicago/Turabian Style

Thiago Antonini Alves; Ricardo Alan Verdú Ramos; Cassio Roberto Macedo Maia. 2018. "Uma Solução Híbrida Analítico-Numérica para o Problema Térmico em Dutos Bicônicos." Semina: Ciências Exatas e Tecnológicas 39, no. 1: 19-27.

Journal article
Published: 01 January 2018 in International Journal of Advanced Engineering Research and Science
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Guilherme Antonio Bartmeyer; Larissa Krambeck; Robson Couto Da Silva; Davi Fusão; Thiago Antonini Alves. Characterization of a Copper Powder for Heat Pipe Wick Applications. International Journal of Advanced Engineering Research and Science 2018, 5, 52 -54.

AMA Style

Guilherme Antonio Bartmeyer, Larissa Krambeck, Robson Couto Da Silva, Davi Fusão, Thiago Antonini Alves. Characterization of a Copper Powder for Heat Pipe Wick Applications. International Journal of Advanced Engineering Research and Science. 2018; 5 (10):52-54.

Chicago/Turabian Style

Guilherme Antonio Bartmeyer; Larissa Krambeck; Robson Couto Da Silva; Davi Fusão; Thiago Antonini Alves. 2018. "Characterization of a Copper Powder for Heat Pipe Wick Applications." International Journal of Advanced Engineering Research and Science 5, no. 10: 52-54.

Proceedings article
Published: 01 January 2018 in Anais do X Congresso Nacional de Engenharia Mecânica
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Larissa Krambeck; Paulo Henrique Dias Dos Santos; Thiago Antonini Alves. Influência da Inclinação no Desempenho Térmico de um Tubo de Calor com Tela Metálica. Anais do X Congresso Nacional de Engenharia Mecânica 2018, 1 .

AMA Style

Larissa Krambeck, Paulo Henrique Dias Dos Santos, Thiago Antonini Alves. Influência da Inclinação no Desempenho Térmico de um Tubo de Calor com Tela Metálica. Anais do X Congresso Nacional de Engenharia Mecânica. 2018; ():1.

Chicago/Turabian Style

Larissa Krambeck; Paulo Henrique Dias Dos Santos; Thiago Antonini Alves. 2018. "Influência da Inclinação no Desempenho Térmico de um Tubo de Calor com Tela Metálica." Anais do X Congresso Nacional de Engenharia Mecânica , no. : 1.

Proceedings article
Published: 01 January 2018 in Anais do X Congresso Nacional de Engenharia Mecânica
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ACS Style

Felipe Biglia; Raquel Da Cunha Ribeiro Da Silva; Thiago Antonini Alves. Análise Experimental da Formação de Gelo Poroso em Placas Planas com Diferentes Acabamentos Superficiais. Anais do X Congresso Nacional de Engenharia Mecânica 2018, 1 .

AMA Style

Felipe Biglia, Raquel Da Cunha Ribeiro Da Silva, Thiago Antonini Alves. Análise Experimental da Formação de Gelo Poroso em Placas Planas com Diferentes Acabamentos Superficiais. Anais do X Congresso Nacional de Engenharia Mecânica. 2018; ():1.

Chicago/Turabian Style

Felipe Biglia; Raquel Da Cunha Ribeiro Da Silva; Thiago Antonini Alves. 2018. "Análise Experimental da Formação de Gelo Poroso em Placas Planas com Diferentes Acabamentos Superficiais." Anais do X Congresso Nacional de Engenharia Mecânica , no. : 1.

Proceedings article
Published: 01 January 2018 in Anais do X Congresso Nacional de Engenharia Mecânica
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ACS Style

Vivian Machado; Larissa Krambeck; Felipe Baptista Nishida; Paulo Henrique Dias Dos Santos; Thiago Antonini Alves. Análise Teórica dos Limites Operacionais de Tubos de Calor com Diferentes Estruturas Capilares. Anais do X Congresso Nacional de Engenharia Mecânica 2018, 1 .

AMA Style

Vivian Machado, Larissa Krambeck, Felipe Baptista Nishida, Paulo Henrique Dias Dos Santos, Thiago Antonini Alves. Análise Teórica dos Limites Operacionais de Tubos de Calor com Diferentes Estruturas Capilares. Anais do X Congresso Nacional de Engenharia Mecânica. 2018; ():1.

Chicago/Turabian Style

Vivian Machado; Larissa Krambeck; Felipe Baptista Nishida; Paulo Henrique Dias Dos Santos; Thiago Antonini Alves. 2018. "Análise Teórica dos Limites Operacionais de Tubos de Calor com Diferentes Estruturas Capilares." Anais do X Congresso Nacional de Engenharia Mecânica , no. : 1.

Proceedings article
Published: 01 January 2018 in Anais do X Congresso Nacional de Engenharia Mecânica
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ACS Style

Larissa Krambeck; Guilherme Antonio Bartmeyer; Davi Fusão; Paulo Henrique Dias Dos Santos; Thiago Antonini Alves. Desempenho Térmico de um Tubo de Calor Utilizando Pó de Cobre Sinterizado como Estrutura Capilar. Anais do X Congresso Nacional de Engenharia Mecânica 2018, 1 .

AMA Style

Larissa Krambeck, Guilherme Antonio Bartmeyer, Davi Fusão, Paulo Henrique Dias Dos Santos, Thiago Antonini Alves. Desempenho Térmico de um Tubo de Calor Utilizando Pó de Cobre Sinterizado como Estrutura Capilar. Anais do X Congresso Nacional de Engenharia Mecânica. 2018; ():1.

Chicago/Turabian Style

Larissa Krambeck; Guilherme Antonio Bartmeyer; Davi Fusão; Paulo Henrique Dias Dos Santos; Thiago Antonini Alves. 2018. "Desempenho Térmico de um Tubo de Calor Utilizando Pó de Cobre Sinterizado como Estrutura Capilar." Anais do X Congresso Nacional de Engenharia Mecânica , no. : 1.