919 resultados para ROTATING SPIRALS
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Revolving machines are among the most used equipment in general industry and therefore expenditures on this equipment class are a significant portion of the total amount spent by the company. If there is an unscheduled stop of some of this equipment, industrial plants can lose huge amounts of money caused by interrupted production and parts delay. Others may increase significantly maintenance costs due to consequences elsewhere not affected before. Even plant and people safety can be in danger if there is an operation interruption without a backup system start. This work is focused on a rotating system case study which is monitored by vibration analysis that shows that is possible to determine when is the most appropriate time for equipment intervention without any reliability loss just by using a simple and cheap system which is not much used because professionals are not aware to its utility. Industrial facilities were evaluated by fail detection and historical analysis in some equipment in order to show feasibility of vibration analysis through a before-during-after process. The plant evaluated is part of a chemical multinational located in Guaratinguetá-SP. At this time, that plant had around 650 critical equipment monthly monitored and no unscheduled shutdown was registered in one year period due to equipment monitoring
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This graduation work presents the implementation of the key concepts of lean thinking in a maintenance workshop of rotating equipment, analyzing all the administrative and workshop processes. The pursuit of quality and client satisfaction at lower costs has generated a lot of competition between organizations, which use the practices of lean manufacturing as tools for processes improvement, aiming to eliminate wastes, being this, the work objective. And, unlike a manufacturing system, where the product goes through certain stages until its conclusion, the workshop does not have a default sequence that is repeated routinely on all machines. Thus, it demonstrates a possibility of application of lean tools in a different way of the common used in the lean manufacturing
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Pós-graduação em Engenharia Mecânica - FEIS
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Aluminum alloys have shown great potential for the automotive industry, especially aluminum alloys 6xxx series. This category has good mechanical strength and excellent corrosion resistance, important for the areas of construction and transport. The automotive industry has always shown great interest in the study of fatigue behavior, because structural components are subjected to cyclic and vibration loads, generating cracks and fracturing. The mechanical response depends on the material properties, applications, surface condition and microstructure. In this work was study the fatigue behavior of high cycle of machined bodies (not polished) and the effect of roughness on the fatigue life for three aluminum alloys of 6xxx series: AA6005, AA6351 and AA606, all in the T6 condition . S / N curves were made from fatigue tests in rotating bending (R = -1). The influence of roughness was studied by measuring the roughness of each specimen. Was compare the fatigue behavior of polished specimen and not polished specimens. The fractured surfaces of samples were observed by MEV, and it was observed that most of nucleation sites for fatigue crack is initiated below the surface
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Pós-graduação em Engenharia Mecânica - FEIS
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Pós-graduação em Química - IQ
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Pós-graduação em Engenharia Mecânica - FEIS
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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This paper presents two diagnostic methods for the online detection of broken bars in induction motors with squirrel-cage type rotors. The wavelet representation of a function is a new technique. Wavelet transform of a function is the improved version of Fourier transform. Fourier transform is a powerful tool for analyzing the components of a stationary signal. But it is failed for analyzing the non-stationary signal whereas wavelet transform allows the components of a non-stationary signal to be analyzed. In this paper, our main goal is to find out the advantages of wavelet transform compared to Fourier transform in rotor failure diagnosis of induction motors.
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)