Sensing for automation in the industrial process of heat treatment
DOI:
https://doi.org/10.14488/1676-1901.v23i2.4846Keywords:
Industry 4.0, Intelligent Factory, IoT, Infrared Sensing, Vision Cameras, Forging Process ParametersAbstract
When producing tools for hand use, the key factor is the control of quality indicators, especially the heat treatment process, which gives hardness and durability to the tool. The efficient heat treatment process needs to keep the heat of the part stable, in continuous productions it is necessary to have repeatability and constancy, for that it is necessary to minimize variables. Manual operations with the use of human labor expose the fragility of the process, instructing operators to decide, by visualizing the color and temperature of the part, the release to produce, imposing exhaustive repetition processes. Thus, this work aims to demonstrate the application of sensing in the heat treatment process. For that, the case study method was applied, having as object of study a line of manufacture of diggers. Through sensing it is possible to identify the temperature of the product and determine if the process is within the technical specifications, creating alerts and automated corrections. Sensing allows full integration of operations and enables the use of robots in repeated and exhausting operations for humans. With the use of sensors, it is possible to identify quality losses of more than 20%, where the product did not receive the appropriate heat treatment, in addition to productivity losses and inadequate exposure of operators to repetition, heat and decision making. The sensing and the use of vision cameras, added to industry 4.0 technologies, enhance intelligent decisions.
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