Variable speed refrigeration system with HPF input rectifier stage

This paper is based on the analysis and implementation of a new drive system applied to refrigeration systems, complying with the restrictions imposed by the IEC standards (Harmonic/Flicker/EMI-Electromagnetic Interference restrictions), in order to obtain high efficiency, high power factor, reduced harmonic distortion in the input current and reduced electromagnetic interference, with excellent performance in temperature control of a refrigeration prototype system (automatic control, precision and high dynamic response). The proposal is replace the single-phase motor by a three-phase motor, in the conventional refrigeration system. In this way, a proper control technique can be applied, using a closed-loop (feedback control), that will allow an accurate adjustment of the desirable temperature. The proposed refrigeration prototype uses a 0.5Hp three-phase motor and an open (Belt-Drive) Bitzer IY type compressor. The input rectifier stage's features include the reduction in the input current ripple, the reduction in the output voltage ripple, the use of low stress devices, low volume for the EMI input filter, high input power factor (PF), and low total harmonic distortion (THD) in the input current, in compliance with the IEC61000-3-2 standards. The digital controller for the output three-phase inverter stage has been developed using a conventional voltage-frequency control (scalar V/f control), and a simplified stator oriented Vector control, in order to verify the feasibility and performance of the proposed digital controls for continuous temperature control applied at the refrigerator prototype. ©2008 IEEE.

Digital radiography for the inspection of weld seams of pipelines - better sensitivity

Conventional radiography, using industrial radiographic films, has its days numbered. Digital radiography, recently, has taken its place in various segments of products and services, such as medicine, aerospace, security, automotive, etc. As well as the technological trend, the digital technique has brought proven benefits in terms of productivity, sensitivity, the environment, tools for image treatment, cost reductions, etc. If the weld to be inspected is on a serried product, such as, for example, a pipe, the best option for the use of digital radiography is the plane detector, since its use can reduce the length of the inspection cycle due to its high degree of automation. This work tested welded joints produced with the submerged arc process, which were specially prepared in such a way that it shows small artificial cracks, which served as the basis forcomparing the sensitivity levels of the techniques involved. After carrying out the various experiments, the digital meth odshowed the highest sensitivity for the image quality indicator (IQI) of the wire and also in terms of detecting small discontinuities, indicating that the use of digital radiography using the plane detector had advantages over the conventional technique (Moreira et al. Digital radiography, the use of plane detectors for the inspection of welds in oil pipes and gas pipes.9th COTEQ and XXV National Testing Congress for Non Destructive Testing and Inspection; Salvador, Bahia, Brazil and Bavendiek et al. New digital radiography procedure exceeds film sensitivity considerably in aerospace applications. ECNDT; 2006; Berlin). The works were carried out on the basis of the specifications for oil and gas pipelines, API 5L 2004 edition (American Petroleum Institute. API 5L: specification for line pipe. 4th ed. p. 155; 2004) and ISO 3183 2007 edition (International Organization for Standardization, ISO 3183. Petroleum and gas industries - steel pipes for pi pelines transportation systems. p. 143; 2007). © 2010 Taylor & Francis.

Precipitates segmentation from scanning electron microscope images through machine learning techniques

The presence of precipitates in metallic materials affects its durability, resistance and mechanical properties. Hence, its automatic identification by image processing and machine learning techniques may lead to reliable and efficient assessments on the materials. In this paper, we introduce four widely used supervised pattern recognition techniques to accomplish metallic precipitates segmentation in scanning electron microscope images from dissimilar welding on a Hastelloy C-276 alloy: Support Vector Machines, Optimum-Path Forest, Self Organizing Maps and a Bayesian classifier. Experimental results demonstrated that all classifiers achieved similar recognition rates with good results validated by an expert in metallographic image analysis. © 2011 Springer-Verlag Berlin Heidelberg.

Evaluation of MPPT techniques for photovoltaic applications

This paper presents a careful evaluation among the most usual MPPT (Maximum Power Point Tracking) techniques, doing meaningful comparisons with respect to the amount of energy extracted from the photovoltaic (PV) panel, PV voltage ripple, dynamic response and use of sensors. Firstly, the MPPT and boost converter models were implemented via MatLab/Simulink®, and after a DC to DC boost converter, digitally controlled, was implemented and connected to an Agilent Solar Array simulator, in order to validate the simulation results. The algorithms are digitally developed and the main experimental results are also presented from the implemented prototype. Furthermore, the experimental dynamic results and the computed tracking factors are presented. © 2011 IEEE.

Remote Sensing Detection of atmospheric pollutants using Lidar, Sodar and correlation with air quality data in an industrial area

Optical remote sensing techniques have obvious advantages for monitoring gas and aerosol emissions, since they enable the operation over large distances, far from hostile environments, and fast processing of the measured signal. In this study two remote sensing devices, namely a Lidar (Light Detection and Ranging) for monitoring the vertical profile of backscattered light intensity, and a Sodar (Acoustic Radar, Sound Detection and Ranging) for monitoring the vertical profile of the wind vector were operated during specific periods. The acquired data were processed and compared with data of air quality obtained from ground level monitoring stations, in order to verify the possibility of using the remote sensing techniques to monitor industrial emissions. The campaigns were carried out in the area of the Environmental Research Center (Cepema) of the University of São Paulo, in the city of Cubatão, Brazil, a large industrial site, where numerous different industries are located, including an oil refinery, a steel plant, as well as fertilizer, cement and chemical/petrochemical plants. The local environmental problems caused by the industrial activities are aggravated by the climate and topography of the site, unfavorable to pollutant dispersion. Results of a campaign are presented for a 24- hour period, showing data of a Lidar, an air quality monitoring station and a Sodar. © 2011 SPIE.

Identification and feature selection of non-technical losses for industrial consumers using the software WEKA

This work has as objectives the implementation of a intelligent computational tool to identify the non-technical losses and to select its most relevant features, considering information from the database with industrial consumers profiles of a power company. The solution to this problem is not trivial and not of regional character, the minimization of non-technical loss represents the guarantee of investments in product quality and maintenance of power systems, introduced by a competitive environment after the period of privatization in the national scene. This work presents using the WEKA software to the proposed objective, comparing various classification techniques and optimization through intelligent algorithms, this way, can be possible to automate applications on Smart Grids. © 2012 IEEE.

Evaluation of the main MPPT techniques for photovoltaic applications

This paper presents evaluations among the most usual maximum power point tracking (MPPT) techniques, doing meaningful comparisons with respect to the amount of energy extracted from the photovoltaic (PV) panel [tracking factor (TF)] in relation to the available power, PV voltage ripple, dynamic response, and use of sensors. Using MatLab/Simulink and dSPACE platforms, a digitally controlled boost dc-dc converter was implemented and connected to an Agilent Solar Array E4350B simulator in order to verify the analytical procedures. The main experimental results are presented for conventional MPPT algorithms and improved MPPT algorithms named IC based on proportional-integral (PI) and perturb and observe based on PI. Moreover, the dynamic response and the TF are also evaluated using a user-friendly interface, which is capable of online program power profiles and computes the TF. Finally, a typical daily insulation is used in order to verify the experimental results for the main PV MPPT methods. © 2012 IEEE.

Sparse arrays and image compounding techniques for non-destructive testing using guided acoustic waves

Piezoelectric array transducers applications are becoming usual in the ultrasonic non-destructive testing area. However, the number of elements can increase the system complexity, due to the necessity of multichannel circuitry and to the large amount of data to be processed. Synthetic aperture techniques, where one or few transmission and reception channels are necessary, and the data are post-processed, can be used to reduce the system complexity. Another possibility is to use sparse arrays instead of a full-populated array. In sparse arrays, there is a smaller number of elements and the interelement spacing is larger than half wavelength. In this work, results of ultrasonic inspection of an aluminum plate with artificial defects using guided acoustic waves and sparse arrays are presented. Synthetic aperture techniques are used to obtain a set of images that are then processed with an image compounding technique, which was previously evaluated only with full-populated arrays, in order to increase the resolution and contrast of the images. The results with sparse arrays are equivalent to the ones obtained with full-populated arrays in terms of resolution. Although there is an 8 dB contrast reduction when using sparse arrays, defect detection is preserved and there is the advantage of a reduction in the number of transducer elements and data volume. © 2013 Brazilian Society for Automatics - SBA.

Estudo da viabilidade técnico-econômica da produção industrial da aguardente do licor de laranja

Pós-graduação em Alimentos e Nutrição - FCFAR

Avaliação do potencial de compostos naturais (argila, turfa e carvão) na remoção do Chumbo (Pb) e da toxicidade de um efluente industrial

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Desenvolvimento de software aplicativo para controle de custeios por atividades identificáveis nos processos de fabricação

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

The new digital revolution: From the consumer Internet to the industrial Internet

The new digital technologies have led to widespread use of cloud computing, recognition of the potential of big data analytics, and significant progress in aspects of the Internet of Things, such as home automation, smart cities and grids and digital manufacturing. In addition to closing gaps in respect of the basic necessities of access and usage, now the conditions must be established for using the new platforms and finding ways to participate actively in the creation of content and even new applications and platforms. This message runs through the three chapters of this book. Chapter I presents the main features of the digital revolution, emphasizing that today’s world economy is a digital economy. Chapter II examines the region’s strengths and weaknesses with respect to digital access and consumption. Chapter III reviews the main policy debates and urges countries to take a more proactive approach towards, for example, regulation, network neutrality and combating cybercrime. The conclusion highlights two crucial elements: first, the need to take steps towards a single regional digital market that can compete in a world of global platforms by tapping the benefits of economies of scale and developing network economies; and second, the significance of the next stage of the digital agenda for Latin America and the Caribbean (eLAC2018), which will embody the latest updates to a cooperation strategy that has been in place for over a decade.

Recuperação de níquel e outros metais a partir de diferentes fontes (rejeitos minerais de processo industrial e pentlandita '(Ni,Fe)IND. 9' 'S IND. 8' ) mediante lixiviação ácida e bacteriana

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Estudos de estratégias de identificação paramétrica para detecção e diagnóstico de faltas em um processo industrial do tipo tanques comunicantes

Esta dissertação apresenta uma técnica para detecção e diagnósticos de faltas incipientes. Tais faltas provocam mudanças no comportamento do sistema sob investigação, o que se reflete em alterações nos valores dos parâmetros do seu modelo matemático representativo. Como plataforma de testes, foi elaborado um modelo de um sistema industrial em ambiente computacional Matlab/Simulink, o qual consiste em uma planta dinâmica composta de dois tanques comunicantes entre si. A modelagem dessa planta foi realizada através das equações físicas que descrevem a dinâmica do sistema. A falta, a que o sistema foi submetido, representa um estrangulamento gradual na tubulação de saída de um dos tanques. Esse estrangulamento provoca uma redução lenta, de até 20 %, na seção desse tubo. A técnica de detecção de falta foi realizada através da estimação em tempo real dos parâmetros de modelos Auto-regressivos com Entradas Exógenas (ARX) com estimadores Fuzzy e de Mínimos Quadrados Recursivos. Já, o diagnóstico do percentual de entupimento da tubulação foi obtido por um sistema fuzzy de rastreamento de parâmetro, realimentado pela integral do resíduo de detecção. Ao utilizar essa metodologia, foi possível detectar e diagnosticar a falta simulada em três pontos de operação diferentes do sistema. Em ambas as técnicas testadas, o método de MQR teve um bom desempenho, apenas para detectar a falta. Já, o método que utilizou estimação com supervisão fuzzy obteve melhor desempenho, em detectar e diagnosticar as faltas aplicadas ao sistema, constatando a proposta do trabalho.

Prazer-sofrimento e saúde no trabalho com automação: estudo com operadores em empresas japonesas no Pólo Industrial de Manaus

A atual configuração do mundo do trabalho caracteriza-se pela complexidade e intensificação dos riscos à saúde do trabalhador. A presente tese aborda trabalho e saúde a partir do referencial da psicodinâmica de Dejours, privilegiando a categoria prazer-sofrimento, no contexto do trabalho com automação no Pólo Industrial de Manaus - PIM. Visando situar os aspectos macroeconômicos, apresenta-se a condição sócio-econômica dos operadores e o contexto da reestruturação produtiva do PIM, que se caracterizou por intensificação da automação. O objetivo dessa pesquisa foi analisar a organização de trabalho com automação e seus desdobramentos sobre a saúde dos operadores e das operadoras de máquina de inserção automática, focalizando o prazer-sofrimento e seus reflexos sobre o processo de saúde-adoecimento. Elegeu-se a abordagem qualitativa, em consonância com a fundamentação teórico-metodológica de Dejours. A pesquisa empírica foi realizada na área de inserção automática das duas empresas de origem japonesa, de grande porte, do segmento eletroeletrônico do PIM. Participaram como sujeitos 21 operadores de máquinas (dez de uma e onze de outra empresa). A principal fonte de dados foi a fala dos sujeitos, que responderam a uma entrevista individual semi-estruturada. Para a análise de dados foi realizada uma articulação da sistemática da Grounded Theory à base psicodinâmica, como opção de técnica qualitatativa adequada a entrevistas individuais. A preocupação com a “qualidade” se destacou como categoria central, mostrando-se presente em todas as esferas da organização de trabalho e modulando a vivência de prazer-sofrimento: dentre as principais fontes de prazer, realizar o trabalho com perfeição foi reiteradamente mencionado; em contrapartida, o medo de errar é uma das principais fontes de sofrimento, causa permanente de tensão, agravante do risco de adoecimento. O prazer provém da identificação com a tarefa de operar máquinas, de alta tecnologia, sem cometer erros; aprender mais e dominar a “tecnologia de ponta” é uma fonte de mobilização subjetiva. O sofrimento decorre da sobrecarga de trabalho, mal remunerado, sob intensa pressão por “qualidade”. Para suportar o sofrimento, os trabalhadores constroem estratégias coletivas de defesa: usam gracejos direcionados aos colegas que cometem erros, interpretados como recurso para reduzir o sofrimento originário do medo de falhar. Utilizam ainda grande diversidade de estratégias individuais de defesa, reflexo do individualismo. O reconhecimento, considerado na psicodinâmica como via privilegiada para a ressignificação do sofrimento, é pouco presente: menos de metade dos operadores se considera devidamente reconhecido por seu trabalho; mencionam os baixos salários como evidência da falta de reconhecimento. Em uma das empresas também falta o reconhecimento simbólico, agravando o sofrimento. O predomínio do sofrimento sobre o prazer no trabalho conduz a um desequilíbrio que resulta no uso exacerbado de defesas: manifestam-se as patologias sociais do trabalho, dentre as quais foi identificada a patologia da sobrecarga, relacionada à carga excessiva de trabalho que é importa aos operadores e às operadoras, pois à aquisição de máquinas corresponde a redução de pessoas. O sofrimento no trabalho, no PIM, está sendo intensificado com a automação, inserida no contexto de super-exploração do trabalho, integrante da organização flexível do capital.