Browsing by Author "Amaral, Fabio Augusto"
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- Development of thin surface virtual sensors for predictive maintenancePublication . Amaral, Fabio Augusto; Leitão, Paulo; Rodrigues, Nelson; Neli, Roberto RibeiroIn the field of manufacturing, metal stamping and plastic injection are some essential procedures, such that companies in this sector need to optimize these processes to gain a competitive advantage. In this sense, this work is part of the On-Surf project, which aims to develop surface modification processes, which promote advanced solutions within the transformation industry through surface engineering techniques. This work proposes the study of techniques based on virtual sensors, to monitor the temperature of a plastic injection mold in real time. The method makes use of Computer Aided Engineering (CAE) software to model the injection system, mathematical software to adjust the process equations, and an algorithm developed in Python that calculates the value of the soft sensors from the input of one or multiple physical sensors. The work makes use of case studies of simple metallic surfaces to define the thermal behavior and associate it with a correlation factor. Then apply the techniques developed in the geometry of an injection mold. Through the use of soft sensors, it is possible to obtain more temperature points about the mold. Such information is extremely important for the predictive maintenance (PdM) of the machine, since it aims to facilitate the operational parameters decision making, reducing the probability of failures, both in the manufactured parts and in the physical sensors themselves, because the technique guarantees the monitoring of the values in real time.