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Abstract(s)
Atualmente, com o crescimento da indústria, a necessidade de automatização de processos industriais aumenta, como é o caso da inspeção das peças resultantes da produção numa fábrica, pois são exigidos níveis elevados de qualidade no produto, produtividade e capacidade de melhoria contínua. Um dos setores que mais tem se desenvolvido nos últimos anos é a indústria automóvel, e como consequência a produtividade e a mão de obra. Este desenvolvimento tem levado a uma constante evolução de tecnologias, conceitos e técnicas com o intuito de dar resposta à enorme competitividade e satisfação de procura gerada. Contudo, este desenvolvimento gera uma crescente complexidade e importância de máquinas/robôs nos processos produtivos, visto que as paragens de produção são cada vez mais dispendiosas. Deste modo, as empresas tentam implementar medidas que permitam reduzir esses tempos de paragem e, consequentemente, todos os custos a elas associados. A dissertação apresentada tem como objetivo a melhoria no processo produtivo de alimentação autónoma de parafusos nos robôs de aparafusamento de antenas. Trata-se de um processo que apresenta algumas dificuldades, visto ser preciso os parafusos estarem sempre com uma determinada orientação, caso contrário bloquearia a máquina e consequentemente a produção. Neste sentido, o software desenvolvido foi concebido para uma câmara de visão artificial, que garante que os parafusos seguem com a posição correta para que sejam enviados para o robô. Quando a posição não é a correta, e com a ajuda de uma saída de ar comprimido, os parafusos são expulsos novamente para o alimentador. Desta forma, pretendeu-se criar uma solução mais flexível, com menores e menos paragens, e para uma adaptação mais rápida, tanto para novas referências de parafusos como também para outras funções.
Nowadays, with the growth of the industry, the need for automation of industrial processes increases, as is the case of the inspection of parts resulting from production in a factory, as high levels of product quality, productivity and capacity for continuous improvement are required. One of the sectors that has been developing the most in recent years is the automotive industry, and consequently, productivity and labor. In favor of this development, it leads to a constant evolution of technologies, concepts, and techniques to respond to the enormous competitiveness and satisfaction of the demand generated. However, this development generates an increasing complexity and importance of machines/robots in the production processes, as production stops are increasingly expensive. In this way, companies try to implement measures to reduce these downtimes and, consequently, all costs associated with them. The dissertation presented aims to improve the productive process of autonomous screw feeding in antenna screwing robots. This is a process that presents certain difficulties, since it is screws must always be in a particular orientation, otherwise block the machine and consequently production. In this sense, the software developed was designed for an artificial vision camera, which ensures that the screws follow the correct position to be sent to the robot. When the position is not correct, with the help of a compressed air outlet the screws are expelled back to the feeder. In this way, creating a more flexible solution, with fewer and fewer stops, and for faster adaptation, both for new screw references and for other functions.
Nowadays, with the growth of the industry, the need for automation of industrial processes increases, as is the case of the inspection of parts resulting from production in a factory, as high levels of product quality, productivity and capacity for continuous improvement are required. One of the sectors that has been developing the most in recent years is the automotive industry, and consequently, productivity and labor. In favor of this development, it leads to a constant evolution of technologies, concepts, and techniques to respond to the enormous competitiveness and satisfaction of the demand generated. However, this development generates an increasing complexity and importance of machines/robots in the production processes, as production stops are increasingly expensive. In this way, companies try to implement measures to reduce these downtimes and, consequently, all costs associated with them. The dissertation presented aims to improve the productive process of autonomous screw feeding in antenna screwing robots. This is a process that presents certain difficulties, since it is screws must always be in a particular orientation, otherwise block the machine and consequently production. In this sense, the software developed was designed for an artificial vision camera, which ensures that the screws follow the correct position to be sent to the robot. When the position is not correct, with the help of a compressed air outlet the screws are expelled back to the feeder. In this way, creating a more flexible solution, with fewer and fewer stops, and for faster adaptation, both for new screw references and for other functions.
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Keywords
Indústria automóvel Visão artificial Automação industrial Aparafusamento Robótica Automotive industry Artificial vision Industrial automation Screwing Robotic