913 resultados para Drilling process monitoring
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Increasingly semiconductor manufacturers are exploring opportunities for virtual metrology (VM) enabled process monitoring and control as a means of reducing non-value added metrology and achieving ever more demanding wafer fabrication tolerances. However, developing robust, reliable and interpretable VM models can be very challenging due to the highly correlated input space often associated with the underpinning data sets. A particularly pertinent example is etch rate prediction of plasma etch processes from multichannel optical emission spectroscopy data. This paper proposes a novel input-clustering based forward stepwise regression methodology for VM model building in such highly correlated input spaces. Max Separation Clustering (MSC) is employed as a pre-processing step to identify a reduced srt of well-conditioned, representative variables that can then be used as inputs to state-of-the-art model building techniques such as Forward Selection Regression (FSR), Ridge regression, LASSO and Forward Selection Ridge Regression (FCRR). The methodology is validated on a benchmark semiconductor plasma etch dataset and the results obtained are compared with those achieved when the state-of-art approaches are applied directly to the data without the MSC pre-processing step. Significant performance improvements are observed when MSC is combined with FSR (13%) and FSRR (8.5%), but not with Ridge Regression (-1%) or LASSO (-32%). The optimal VM results are obtained using the MSC-FSR and MSC-FSRR generated models. © 2012 IEEE.
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Process monitoring and Predictive Maintenance (PdM) are gaining increasing attention in most manufacturing environments as a means of reducing maintenance related costs and downtime. This is especially true in industries that are data intensive such as semiconductor manufacturing. In this paper an adaptive PdM based flexible maintenance scheduling decision support system, which pays particular attention to associated opportunity and risk costs, is presented. The proposed system, which employs Machine Learning and regularized regression methods, exploits new information as it becomes available from newly processed components to refine remaining useful life estimates and associated costs and risks. The system has been validated on a real industrial dataset related to an Ion Beam Etching process for semiconductor manufacturing.
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The characteristics of carbon fibre reinforced laminates had widened their use, from aerospace to domestic appliances. A common characteristic is the need of drilling for assembly purposes. It is known that a drilling process that reduces the drill thrust force can decrease the risk of delamination. In this work, delamination assessment methods based on radiographic data are compared and correlated with mechanical test results (bearing test).
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Este estudo centra-se na temática da perfuração de maciços rochosos. A perfuração, dependendo do seu objectivo, diâmetro e comprimento, tem um vasto leque de aplicações incluindo a perfuração para o desmonte com explosivos e colocação de elementos de contenção. Este estudo esta focado na perfuração, tendo normalmente um papel preponderante no rendimento dos ciclos de trabalho em que esta inserida. O processo de perfuração implica uma estreita interacção das ferramentas de perfuração com maciço rochoso a perfurar, como tal um conhecimento rigoroso dos parâmetros geológicos, geotécnicos, geomecânicos do maciço rochoso e preponderante para auxiliar a gestão, do ponto de vista técnico-económico, da operação de perfuração. Este estudo tem como principal objectivo a optimização técnico-económica desta operação através da introdução de processos baseados nas boas práticas de engenharia na perfuração de maciços rochosos, nomeadamente a definição e introdução do processo de afiação dos bits no ciclo de perfuração. Na caracterização do maciço rochoso, para além da pesquisa e recolha bibliográfica pretende-se recorrer a ensaios ”in situ” e laboratoriais que permitam obter informacao útil para a avaliação da perfurabilidade e abrasividade do maciço rochoso.
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Este trabalho pretende avaliar e melhorar o modo de execução da aplicação da técnica de perfuração, não comprometendo a jusante, no ciclo de operações, a qualidade do desmonte, visando assim, uma optimização técnico-económica. Este manuscrito irá centrar-se na optimização da etapa da perfuração, visando assim a optimização do ciclo total da perfuração. As tarefas realizadas numa pedreira constituem um ciclo de operações. Uma das operações envolvidas no desmonte de maciços rochosos é a perfuração. A forma como esta é executada é determinante para o sucesso do desmonte. O correcto dimensionamento dos acessórios de perfuração, afiação de bits, manutenção preventiva dos equipamentos de perfuração e a constante formação dos operadores fazem parte de um conjunto de acções que irão determinar o sucesso da operação de perfuração, tendo sempre em vista, uma optimização técnico-económica, ou seja, produzir mais a um custo mais baixo. O estudo dos parâmetros do maciço rochoso aliado a uma perfuração cuidadosa e alinhada é evidenciado com o intuito de uma abordagem de geoengenharia integrada dos maciços rochosos. O estudo foi realizado na pedreira da APS, S.A. (Pedreira de Monte Chãos), tendo como análise os dados desde o início do projecto até à data. Para fundamentar este estudo, aborda-se os parâmetros geológico-geotécnicos e geomecânicos do maciço remanescente, verificando assim as ferramentas de corte mais adequadas ao caso e averiguar a influência da afiação de bits, quer seja manual ou semiautomática, e de que forma a mesma irá influenciar nos rendimentos e vidas úteis obtidas, tendo como objectivo, melhorar o custo por metro de furação realizado.
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Die vorliegende Dissertation betrachtet institutionsinterne lokale (Critical-)Incident-Reporting-Systeme ((C)IRS) als eine Möglichkeit zum Lernen aus Fehlern und unerwünschten kritischen Ereignissen (sogenannte Incidents) im Krankenhaus. Die Notwendigkeit aus Incidents zu lernen, wird im Gesundheitswesen bereits seit den 1990er Jahren verstärkt diskutiert. Insbesondere risikoreichen Organisationen, in denen Incidents fatale Konsequenzen haben können, sollten umfassende Strategien erarbeiten, die sie vor Fehlern und unerwünschten Ereignissen schützen und diese als Lernpotenzial nutzen können. Dabei können lokale IRS als ein zentraler Bestandteil des Risikomanagements und freiwillige Dokumentationssysteme im Krankenhaus ein Teil dieser Strategie sein. Sie können eine Ausgangslage für die systematische Erfassung und Auswertung von individuellen Lerngelegenheiten und den Transfer zurück in die Organisation schaffen. Hierfür sind eine lernförderliche Gestaltung, Implementierung und Einbettung lokaler IRS eine wichtige Voraussetzung. Untersuchungen über geeignete lerntheoretisch fundierte und wirkungsvolle IRS-Modelle und empirische Daten fehlen bisher im deutschsprachigen Raum. Einen entsprechenden Beitrag leistet die vorliegende Fallstudie in einem Schweizer Universitätsspital (800 Betten, 6.100 Mitarbeitende). Zu diesem Zweck wurde zuerst ein Anforderungsprofil an lernförderliche IRS aus der Literatur abgeleitet. Dieses berücksichtigt zum einen literaturbasierte Kriterien für die Gestaltung und Nutzung aus der IRS-Literatur, zum anderen die aus der Erziehungswissenschaft und Arbeitspsychologie entlehnten Gestaltungsbedingungen und Erfolgskriterien an organisationales Lernen. Das Anforderungsprofil wurde in drei empirischen Teilstudien validiert und entsprechend adaptiert. In der ersten empirischen Teilstudie erfolgte eine Standortbestimmung der lokalen IRS. Die Erhebung erfolgte in vier Kliniken mittels Dokumentenanalyse, leitfadengestützter Interviews (N=18), sieben strukturierter Gruppendiskussionen und teilnehmender Beobachtungen über einen Zeitraum von 22 Monaten. Erfolgskritische IRS-Merkmale wurden identifiziert mit dem Ziel einer praxisgerechten lernförderlichen Systemgestaltung und Umsetzung von Incident Reporting unter Betrachtung von organisationalen Rahmenbedingungen, Lernpotenzialen und Barrieren. Die zweite Teilstudie untersuchte zwei Fallbeispiele organisationalen Lernens mittels Prozessbegleitung, welche zu einem verwechslungssicheren Design bei einem Medizinalprodukt und einer verbesserten Patientenidentifikation in Zusammenhang mit Blutentnahmen führten. Für das organisationale Lernen im Spital wurden dabei Chancen, Barrieren und Gestaltungsansätze abgeleitet, wie erwünschte Veränderungen und Lernen unter Nutzung von IRS initiiert werden können und dabei ein besseres Gesundheitsresultat erreicht werden kann. Die dritte Teilstudie überprüfte, inwiefern die Nutzung und Implementierung lokaler IRS mittels einer Mitarbeitervollbefragung zur Sicherheitskultur gefördert werden kann. Hierfür wurde eine positive Interaktion, zwischen einer starken Sicherheitskultur und der Bereitschaft ein IRS zu implementieren und Incidents zu berichten, angenommen. Zum Einsatz kam eine deutschsprachige Version des Hospital Survey on Patient Safety Culture (Patientensicherheitsklimainventar) mit einem Rücklauf von 46.8% (2.897 gültige Fragebogen). In 23 von 37 Kliniken führte laut einer Nachbefragung die Sicherheitskulturbefragung zum Implementierungsentscheid. Dies konnte durch Monitoring der IRS-Nutzung bestätigt werden. Erstmals liegen mit diesen Studien empirische Daten für eine wirkungsvolle und lernförderliche Gestaltung und Umsetzung von lokalen IRS am Beispiel einer Schweizer Gesundheitsorganisation vor. Die Ergebnisse der Arbeit zeigen Chancen und Barrieren für IRS als Berichts- und Lernsysteme im Krankenhaus auf. Als Resultat unsachgemäss gestalteter und implementierter IRS konnte dabei vor allem Lernverhinderung infolge IRS aufgezeigt werden. Blinder Aktionismus und eine fehlende Priorisierung von Patientensicherheit, unzureichende Kompetenzen, Qualifikationen und Ressourcen führten dabei zur Schaffung neuer Fehlerquellen mit einer Verstärkung des Lernens erster Ordnung. Eine lernförderliche Gestaltung und Unterhaltung der lokalen IRS, eingebettet in eine klinikumsweite Qualitäts- und Patientensicherheitsstrategie, erwiesen sich hingegen als wirkungsvoll im Sinne eines organisationalen Lernens und eines kontinuierlichen Verbesserungsprozesses. Patientensicherheitskulturbefragungen erwiesen sich zudem bei entsprechender Einbettung als effektives Instrument, um die Implementierung von IRS zu fördern. Zwölf Thesen zeigen in verdichteter Form auf, welche Gestaltungsprinzipien für IRS als Instrument des organisationalen Lernens im Rahmen des klinischen Risikomanagements und zur Förderung einer starken Patientensicherheitskultur zu berücksichtigen sind. Die Erkenntnisse aus den empirischen Studien münden in ein dialogorientiertes Rahmenmodell organisationalen Lernens unter Nutzung lokaler IRS. Die Arbeit zeigt damit zum einen Möglichkeiten für ein Lernen auf den verschiedenen Ebenen der Organisation auf und weist auf die Notwendigkeit einer (Re-)Strukturierung der aktuellen IRS-Diskussion hin.
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Expert supervision systems are software applications specially designed to automate process monitoring. The goal is to reduce the dependency on human operators to assure the correct operation of a process including faulty situations. Construction of this kind of application involves an important task of design and development in order to represent and to manipulate process data and behaviour at different degrees of abstraction for interfacing with data acquisition systems connected to the process. This is an open problem that becomes more complex with the number of variables, parameters and relations to account for the complexity of the process. Multiple specialised modules tuned to solve simpler tasks that operate under a co-ordination provide a solution. A modular architecture based on concepts of software agents, taking advantage of the integration of diverse knowledge-based techniques, is proposed for this purpose. The components (software agents, communication mechanisms and perception/action mechanisms) are based on ICa (Intelligent Control architecture), software middleware supporting the build-up of applications with software agent features
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This paper reviews the current state of development of both near-infrared (NIR) and mid-infrared (MIR) spectroscopic techniques for process monitoring, quality control, and authenticity determination in cheese processing. Infrared spectroscopy has been identified as an ideal process analytical technology tool, and recent publications have demonstrated the potential of both NIR and MIR spectroscopy, coupled with chemometric techniques, for monitoring coagulation, syneresis, and ripening as well as determination of authenticity, composition, sensory, and rheological parameters. Recent research is reviewed and compared on the basis of experimental design, spectroscopic and chemometric methods employed to assess the potential of infrared spectroscopy as a technology for improving process control and quality in cheese manufacture. Emerging research areas for these technologies, such as cheese authenticity and food chain traceability, are also discussed.
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The primary cementing is an important step in the oilwell drilling process, ensuring the mechanical stability of the well and the hydraulic isolation between casing and formation. For slurries to meet the requirements for application in a certain well, some care in the project should be taken into account to obtain a cement paste with the proper composition. In most cases, it is necessary to add chemicals to the cement to modify its properties, according to the operation conditions and thus obtain slurries that can move inside the jacket providing a good displacement to the interest area. New technologies of preparation and use of chemicals and modernization of technological standards in the construction industry have resulted in the development of new chemical additives for optimizing the properties of building materials. Products such as polycarboxylate superplasticizers provide improved fluidity and cohesion of the cement grains, in addition to improving the dispersion with respect to slurries without additives. This study aimed at adapting chemical additives used in civil construction to be used use in oilwell cement slurries systems, using Portland cement CPP-Special Class as the hydraulic binder. The chemical additives classified as defoamer, dispersant, fluid loss controller and retarder were characterized by infrared absorption spectroscopy, thermogravimetric analyses and technological tests set by the API (American Petroleum Institute). These additives showed satisfactory results for its application in cement slurries systems for oil wells. The silicone-based defoamer promoted the reduction of air bubbles incorporated during the stirring of the slurries. The dispersant significantly reduced the rheological parameters of the systems studied. The tests performed with the fluid loss controller and the retarder also resulted in suitable properties for application as chemical additives in cement slurries
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This research study deals with the production and distribution of drinking water with quality and safety in order to meet the needs of the Man. Points out the limitations of the methodology for assessing water quality in use today. Approaches the recommendations of the World Health Organization (WHO) for adoption, by the companies responsible for producing and distributing water, of assessment methodologies and risk management (HACCP), in order to ensure the quality and safety of water drinking. Suggests strategies for implementing the plan for water safety plan. Uses the process of water production, composed by Maxaranguape river basin, the water treatment plant and distribution system, which is part of the Plan for Expansion of the Supply System of Natal, as case study. The results, it was possible to devise strategies for implementation of the Water Safety Plan (WSP), which comprises the following steps: a) a preliminary stage. b) assessment system. c) process monitoring. d) management plan and e) validation and verification of the PSA. At each stage are included actions for its implementation. The implementation of the PSA shows a new type of water production, in which the fountain as a whole (watershed and point of capture), the Water Treatment Plant (WTP) and distribution, shall compose the production process, over which to build quality and safety of the final product (drinking water)
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The construction of wells is one of the most important activities of the oil industry. The drilling process is the set of activities and operations to design, program and perform the opening thereof. During this process, the cuttings are removed by the drilling fluid, or mud, and carted to the surface. This fluid is injected into the drill string and returns to the surface through the annular space between the well walls and the drill string. After the descent of the column casing, the annular space between the casing string and the walls of the borehole is filled with cement so as to secure the spine and prevent any migration of fluids between the various permeable zones traversed by the well behind of the coating. To ensure the good quality of the cementation scrubbers are used mattresses which are pumped ahead of the cement slurry so as to avoid contamination of the drilling fluid paste, or vice versa, and assist in the removal of plaster, formed by drilling fluid of the borehole walls, thus enabling a better cement bond to the well. Within this context, this work aims to evaluate the efficiency of mattresses scrubbers, the basis of ionic and nonionic surfactants, on the removal of nonaqueous drilling fluid, based on n-paraffin in oil wells, and the compatibility between the Mattress relations washer / drilling fluid bed scrubber / cement paste mattress washer / cement slurry / drilling fluid and the drilling fluid / cement slurry using laboratory tests rheology, thickening time and compressive strength. Also technique was performed X-ray diffraction (XRD) for a more detailed analysis of these mixtures with hydrated cement paste. In compatibility tests the conditions of temperature and pressure used in the same laboratory procedure simulating the conditions of oil wells, the well is considered the depth of 800 m. The results showed that the compositions of the mattress washer nonionic, KMS obtained a 100% efficient in removing the non-aqueous drilling fluid, and the best formulation showed good results with respect to compliance testing
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Hemolytic anemia and vasoocclusion are the cardinal clinical features of sickle cell anemia. Vasoocclusion is a complex process involving not only the polymerization of deoxygenated sickle hemoglobin tetramers, but also interactions between sickle erythrocytes, vascular endothelium, platelets, leukocytes, and plasma proteins. The increased adherence of sickle erythrocytes to endothelium has been implicated as an early step in vasoocclusion. Other researchers have focused on leukocytes and platelets which might also contribute to disturbed blood flow. Microvascular occlusion results in acute painful crises, whereas macrovascular occlusion seems to be the cause of organ failure. The anemia results from the markedly shortened circulatory survival of sickle erythrocytes, together with a limited erythropoietic response. The erythropoiesis increases intensively, but it is not enough to balance the increased rate of erythrocytes destruction to maintain normal levels of total erythrocytes and hemoglobin concentrations; mainly by the low oxygen affinity of hemoglobin S and increased 2,3-Diphosphoglycerate. It is very difficult to separate processes leading to anemia or to vasoocclusion. Understanding the involvement of multiple blood componentes in vasoocclusion may elucidate the clinical manifestations and complications of sickle cell anemia, and may give new insights into the preventive and curative therapy.
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The real-time monitoring of events in an industrial plant is vital, to monitor the actual conditions of operation of the machinery responsible for the manufacturing process. A predictive maintenance program includes condition monitoring of the rotating machinery, to anticipate possible conditions of failure. To increase the operational reliability it is thus necessary an efficient tool to analyze and monitor the equipments, in real-time, and enabling the detection of e.g. incipient faults in bearings. To fulfill these requirements some innovations have become frequent, namely the inclusion of vibration sensors or stator current sensors. These innovations enable the development of new design methodologies that take into account the ease of future modifications, upgrades, and replacement of the monitored machine, as well as expansion of the monitoring system. This paper presents the development, implementation and testing of an instrument for vibration monitoring, as a possible solution to embed in industrial environment. The digital control system is based on an FPGA, and its configuration with an open hardware design tool is described. Special focus is given to the area of fault detection in rolling bearings. © 2012 IEEE.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)