901 resultados para Manufacturing processes.


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A indústria automóvel necessita aumentar a produtividade de forma sistemática, com vista à redução de custos e incremento da competitividade. A otimização dos produtos e processos é uma constante. O presente trabalho foi solicitado pela empresa FicoCables, do Grupo FICOSA, tendo em vista a otimização do processo de injeção de pequenas peças injetadas em ZAMAK, que constituem o bloqueio na extremidade de cada cabo metálico inserido nos automóveis para abertura da mala, portas, travão de mão, reservatório de combustível, capô, etc. A empresa possui cerca de 52 equipamentos de injeção de ZAMAK, cuja temperatura dos bicos era mantida com base numa chama de gás. Os sucessivos problemas de controlo do sistema ditaram uma mudança estratégica no aquecimento desses bicos, passando a ser usadas resistências elétricas anelares. No entanto, esta mudança veio a apresentar problemas inesperados, os quais se vieram inclusivamente a tornar em problemas de segurança, devido ao desgaste interior prematuro dos bicos, os quais apresentaram esmo problema de rotura. Paralelamente, todos os parâmetros relacionados com este processo de fabrico estavam também estudados de forma algo incipiente, pelo que se tornou necessário compreender e dissecar todas as variáveis relacionadas com o processo e implementar sistemas que impedissem o ajuste não controlado dos parâmetros por parte dos operadores. Também os moldes foram alvo de ações de melhoria, com vista a evitar problemas na zona de contacto do bico com o molde. O processo foi analisado em pormenor, permitindo um controlo muito mais apurado do mesmo. Os resultados fizeram sentir-se de forma imediata, graças ao trabalho desenvolvido neste estudo e à abertura demonstrada pela empresa para implementar todas as soluções propostas. O resultado final traduz-se num incremento significativo da segurança para os operadores, num controlo muito mais apurado de todos os parâmetros envolvidos no processo, numa maior garantia da qualidade nos produtos injetados em ZAMAK e em ganhos financeiros significativos para a empresa.

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A utilização de equipamentos robóticos para o processo de soldadura por arco elétrico teve um forte crescimento nas décadas de 80 e 90, altura em que o custo e fiabilidade da tecnologia passou a permitir a integração de robôs em linhas de produção ou em células de fabrico. Depressa cresceram as exigências de uma produção com qualidade repetitiva e facilmente ajustável, e as restrições ao uso de processos manuais ou de tecnologias com pouca flexibilidade. Desde o início do século XXI que a renovação de uma estação de fabrico de peças soldadas para produção em série, especialmente no setor automóvel, parece forçada à integração de robôs industriais, que assim se tornaram símbolos de produtividade. A KAMAZ encontra-se atualmente a renovar alguns dos seus processos de fabrico, incluindo as áreas de soldadura por arco ou cladding. Esta Dissertação aborda o trabalho elaborado, depois de contratualizada com a ABB Rússia a instalação de novas células de fabrico robotizado nesta empresa. Este projeto tem início com o levantamento das necessidades, a verificação do processo existente, e a procura da solução tecnológica que se adapte a essas condições e cumpra os requisitos acordados. São realizadas modelações e simulações off-line em 3D, usando o software RobotStudio da ABB, que permitiram testar cada solução e analisar a sua adequação e viabilidade. Para maior garantia de se obter a qualidade esperada na fusão e deposição do material por processo com arco elétrico revestido a gás, foram realizados testes reais utilizando equipamento robótico em condições baseadas nos testes feitos no ambiente virtual. Por último, são ajustadas as localizações dos postos de trabalho ao layout existente e é feito o balanceamento do tempo de operação manual com o tempo do processo robotizado. Este projeto de Tese termina com a aceitação do cliente para a solução encontrada e para os resultados dos testes reais de ambos os processos.

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To ensure quality of machined products at minimum machining costs and maximum machining effectiveness, it is very important to select optimum parameters when metal cutting machine tools are employed. Traditionally, the experience of the operator plays a major role in the selection of optimum metal cutting conditions. However, attaining optimum values each time by even a skilled operator is difficult. The non-linear nature of the machining process has compelled engineers to search for more effective methods to attain optimization. The design objective preceding most engineering design activities is simply to minimize the cost of production or to maximize the production efficiency. The main aim of research work reported here is to build robust optimization algorithms by exploiting ideas that nature has to offer from its backyard and using it to solve real world optimization problems in manufacturing processes.In this thesis, after conducting an exhaustive literature review, several optimization techniques used in various manufacturing processes have been identified. The selection of optimal cutting parameters, like depth of cut, feed and speed is a very important issue for every machining process. Experiments have been designed using Taguchi technique and dry turning of SS420 has been performed on Kirlosker turn master 35 lathe. Analysis using S/N and ANOVA were performed to find the optimum level and percentage of contribution of each parameter. By using S/N analysis the optimum machining parameters from the experimentation is obtained.Optimization algorithms begin with one or more design solutions supplied by the user and then iteratively check new design solutions, relative search spaces in order to achieve the true optimum solution. A mathematical model has been developed using response surface analysis for surface roughness and the model was validated using published results from literature.Methodologies in optimization such as Simulated annealing (SA), Particle Swarm Optimization (PSO), Conventional Genetic Algorithm (CGA) and Improved Genetic Algorithm (IGA) are applied to optimize machining parameters while dry turning of SS420 material. All the above algorithms were tested for their efficiency, robustness and accuracy and observe how they often outperform conventional optimization method applied to difficult real world problems. The SA, PSO, CGA and IGA codes were developed using MATLAB. For each evolutionary algorithmic method, optimum cutting conditions are provided to achieve better surface finish.The computational results using SA clearly demonstrated that the proposed solution procedure is quite capable in solving such complicated problems effectively and efficiently. Particle Swarm Optimization (PSO) is a relatively recent heuristic search method whose mechanics are inspired by the swarming or collaborative behavior of biological populations. From the results it has been observed that PSO provides better results and also more computationally efficient.Based on the results obtained using CGA and IGA for the optimization of machining process, the proposed IGA provides better results than the conventional GA. The improved genetic algorithm incorporating a stochastic crossover technique and an artificial initial population scheme is developed to provide a faster search mechanism. Finally, a comparison among these algorithms were made for the specific example of dry turning of SS 420 material and arriving at optimum machining parameters of feed, cutting speed, depth of cut and tool nose radius for minimum surface roughness as the criterion. To summarize, the research work fills in conspicuous gaps between research prototypes and industry requirements, by simulating evolutionary procedures seen in nature that optimize its own systems.

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In der Praxis kommt es bei der spanenden Bearbeitung immer wieder zu großen Standwegunterschieden identischer Werkzeuge bei vordergründig identischen Bearbeitungsrandbedingungen. Insbesondere bei Fertigungsschritten, die das Bohren als Vorbearbeitung erfordern, kommt es gelegentlich zu atypischen Verschleißerscheinungen, die auf das Entstehen einer Neuhärtezone an der Werkstückoberfläche beim Bohren zurückgeführt werden. Grundsätzlich sind Randzonenveränderungen eine Folge der mechanischen und thermischen Beanspruchung bei der Bearbeitung. Beim Eindringen des Schneidkeils kommt es zu Kornverzerrungen, welche die Werkstückhärte bis in eine Tiefe von 40 bis 80 µm erhöhen können. Überdies wird die Randzone des Werkstücks durch den Bearbeitungsvorgang und den Spantransport erhitzt und durch den Kühlschmierstoff bzw. die so genannte Selbstabschreckung im Anschluss sehr schnell abgekühlt. So kann es in Abhängigkeit der Randbedingungen zu Gefügeänderungen mit härtesteigernder (Sekundärabschreckung) oder härtemindernder (Anlasseffekte) Wirkung kommen. Nicht zuletzt beeinflussen beide Beanspruchungsarten auch das Ausmaß der Eigenspannungen in der Werkstückoberfläche. In dieser Arbeit werden die beim Kernlochbohren erzeugten Randzonenveränderungen sowie die Standzeit von Folgebearbeitungswerkzeugen, wie Gewindebohrern und Gewindeformern, und deren Abhängigkeit vom Verschleißzustand des Kernlochbohrers untersucht. Weiterhin werden mit Hilfe einer Energiebilanz die Anteile herausgefiltert, die primär die Eigenschaften der Bohrungsrandzone beeinflussen. Dies geschieht mit Hilfe einer mathematischen Modellierung des Bohrprozesses, in der die Einflüsse der Schneidkantengeometrie, der Schneidkantenverrundung, der Schneidkantenfase sowie des Freiflächenverschleißes berücksichtigt werden.

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L’objectiu d’aquest projecte és realitzar l’anàlisi, disseny i implementació d’una nova eina per analitzar les diferencies entre el paper que s’està produint i les mostres de referència, que millori els resultats obtinguts pel prototipus anterior i faciliti la interpretació dels resultats obtinguts, per part dels operaris de l’empresa. Partint de dos imatges escannejades que anomenem patró i mostra, que corresponen respectivament a les imatges de referència i de la mostra de producció

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Molt sovint, a l’indústria de l’alimentació o de la cosmètica, hi ha promocions on s’afegeixen productes de regal; aquests els embalen amb un sleever (tipus de plàstic força rígid) que després retractilen. Aquestes promocions solen ser esporàdiques i canviants i això fa que no sigui factible la modificació de la línia de producció general per a realitzar-les. Per aquest motiu, moltes empreses disposen d’una petita màquina de tall rotatiu per a poder tallar els sleevers ells mateixos, i així tallar a molta velocitat i precisió aquestes petites produccions. Així doncs, esdevé molt interessant l’adquisició d’aquest tipus de maquinària. L’objectiu del projecte és fer l’automatització d’una màquina que pugui tallar aquest tipus de material ràpidament per fer-lo rentable

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One of the techniques used to detect faults in dynamic systems is analytical redundancy. An important difficulty in applying this technique to real systems is dealing with the uncertainties associated with the system itself and with the measurements. In this paper, this uncertainty is taken into account by the use of intervals for the parameters of the model and for the measurements. The method that is proposed in this paper checks the consistency between the system's behavior, obtained from the measurements, and the model's behavior; if they are inconsistent, then there is a fault. The problem of detecting faults is stated as a quantified real constraint satisfaction problem, which can be solved using the modal interval analysis (MIA). MIA is used because it provides powerful tools to extend the calculations over real functions to intervals. To improve the results of the detection of the faults, the simultaneous use of several sliding time windows is proposed. The result of implementing this method is semiqualitative tracking (SQualTrack), a fault-detection tool that is robust in the sense that it does not generate false alarms, i.e., if there are false alarms, they indicate either that the interval model does not represent the system adequately or that the interval measurements do not represent the true values of the variables adequately. SQualTrack is currently being used to detect faults in real processes. Some of these applications using real data have been developed within the European project advanced decision support system for chemical/petrochemical manufacturing processes and are also described in this paper

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En el proceso de diseño se toman decisiones que pueden afectar a la fabricabilidad del producto. Cuando el diseñador es experto, considera las limitaciones, las propiedades y el coste de fabricación en la fase de materialización o de detalle. El problema surge cuando el diseñador no es experto o cuando no hay suficiente información y conocimiento de fabricación disponible. Tomando como referencia la teoría de Diseño Axiomático y las técnicas de DFM, se propone una metodología para identificar, definir y formalizar la información de fabricación que debería estar disponible en el diseño para diseñar para fabricar (DFM). También se propone un prototipo de modelo de información para desarrollar una futura herramienta informática que facilitaría la aplicación de esta metodología y que permitiría guiar al diseñador durante el diseño. La metodología ha sido aplicada a una biela de un motor de combustión interna alternativo (MCIA), y a los procesos que se están usando actualmente para fabricarla: forja en matriz cerrada y forja de polvo de metal.

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The overall operation and internal complexity of a particular production machinery can be depicted in terms of clusters of multidimensional points which describe the process states, the value in each point dimension representing a measured variable from the machinery. The paper describes a new cluster analysis technique for use with manufacturing processes, to illustrate how machine behaviour can be categorised and how regions of good and poor machine behaviour can be identified. The cluster algorithm presented is the novel mean-tracking algorithm, capable of locating N-dimensional clusters in a large data space in which a considerable amount of noise is present. Implementation of the algorithm on a real-world high-speed machinery application is described, with clusters being formed from machinery data to indicate machinery error regions and error-free regions. This analysis is seen to provide a promising step ahead in the field of multivariable control of manufacturing systems.

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Data assimilation algorithms are a crucial part of operational systems in numerical weather prediction, hydrology and climate science, but are also important for dynamical reconstruction in medical applications and quality control for manufacturing processes. Usually, a variety of diverse measurement data are employed to determine the state of the atmosphere or to a wider system including land and oceans. Modern data assimilation systems use more and more remote sensing data, in particular radiances measured by satellites, radar data and integrated water vapor measurements via GPS/GNSS signals. The inversion of some of these measurements are ill-posed in the classical sense, i.e. the inverse of the operator H which maps the state onto the data is unbounded. In this case, the use of such data can lead to significant instabilities of data assimilation algorithms. The goal of this work is to provide a rigorous mathematical analysis of the instability of well-known data assimilation methods. Here, we will restrict our attention to particular linear systems, in which the instability can be explicitly analyzed. We investigate the three-dimensional variational assimilation and four-dimensional variational assimilation. A theory for the instability is developed using the classical theory of ill-posed problems in a Banach space framework. Further, we demonstrate by numerical examples that instabilities can and will occur, including an example from dynamic magnetic tomography.

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We present a novel but simple enteric coated sphere formulation containing probiotic bacteria (Lactobacillus casei). Oral delivery of live bacterial cells (LBC) requires live cells to survive firstly manufacturing processes and secondly GI microbicidal defenses including gastric acid. We incorporated live L. casei directly in the granulation liquid, followed by granulation, extrusion, spheronization, drying and spray coating to produce dried live probiotic spheres. A blend of MCC, calcium-crosslinked alginate, and lactose was developed that gave improved live cell survival during manufacturing, and gave excellent protection from gastric acid plus rapid release in intestinal conditions. No significant loss of viability was observed in all steps except drying, which resulted in approximately 1 log loss of viable cells. Eudragit coating was used to protect dried live cells from acid, and microcrystalline cellulose (MCC) was combined with sodium alginate to achieve efficient sphere disintegration leading to rapid and complete bacterial cell release in intestinal conditions. Viability and release of L. casei was evaluated in vitro in simulated GI conditions. Uncoated spheres gave partial acid protection, but enteric coated spheres effectively protected dried probiotic LBC from acid for 2 h, and subsequently released all viable cells within 1h of transfer into simulated intestinal fluid.

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Development of civil aerospace composites is key to future “greener” aircraft. Aircraft manufacturers must improve efficiency of their product and manufacturing processes to remain viable. The aerospace industry is undergoing a materials revolution in the design and manufacture of composite airframes. The Airbus A350 and Boeing 787 (both due to enter service in the latter part of this decade) will push utilisation levels of  composite materials beyond 50% of the total airframe by weight. This  change requires massive investment in materials technology, manufacturing capability and skills development. The Quickstep process provides the ability to rapidly cure aerospace standard composite materials whilst providing enhanced mechanical properties. Utilising fluid to transfer heat to the   composite component during the curing process allows far higher heat rates than with conventional cure techniques. The rapid heat-up rates reduce the viscosity of the resin system greatly to provide a longer processing window introducing greater flexibility and removing the need for high pressure during cure. Interlaminar fracture toughness (Mode I) and Interfacial Shear Strength of aerospace standard materials cured using Quickstep have been    compared to autoclave cured laminates. Results suggest an improvement in fibre-matrix adhesion.

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The concept of tissue-engineered heart valves offers an alternative to current heart valve replacements that is capable of addressing shortcomings such as life-long administration of anticoagulants, inadequate durability, and inability to grow. Since tissue engineering is a multifaceted area, studies conducted have focused on different aspects such as hemodynamics, cellular interactions and mechanisms, scaffold designs, and mechanical characteristics in the form of both in vitro and in vivo investigations. This review concentrates on the advancements of scaffold materials and manufacturing processes, and on cell–scaffold interactions. Aside from the commonly used materials, polyglycolic acid and polylactic acid, novel polymers such as hydrogels and trimethylene carbonate-based polymers are being developed to simulate the natural mechanical characteristics of heart valves. Electrospinning has been examined as a new manufacturing technique that has the potential to facilitate tissue formation via increased surface area. The type of cells utilized for seeding onto the scaffolds is another factor to take into consideration; currently, stem cells are of great interest because of their potential to differentiate into various types of cells. Although extensive studies have been conducted, the creation of a fully functional heart valve that is clinically applicable still requires further investigation due to the complexity and intricacies of the heart valve.

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The introduction of assembly line techniques to vehicle manufacturing by Henry Ford in the early 1900s dramatically reduced production costs, improved quality and made cars affordable to all. As a consequence people’s lives, cities and society were transformed.
Many attempts have been made to apply vehicle mass production techniques to domestic housing manufacturing, but the success has been limited largely due to underdeveloped manufacturing processes, incomplete integration of building services and limited consideration of environmental performance.
This paper describes an approach that promises to revolutionize the building market in Australia by providing architect designed attractive high quality comfortable modular housing system that incorporates state-of-the-art services and controls. Costs, GHG emissions and material wastage are all substantially less than timber framed housing construction commonly used in Australia.