Abstract
Industrial machining processes use automated milling machines. These machines are connected to a control device that provides the basic instructions used to obtain a piece. However, these processes depend on the human decision to diagnose and correct in real time the inaccuracies that can occur. In this work we present an expert system to real time control of machining processes using the information provided by sensors located on the machine. This system has been implemented as a prototype in a Kondia 600 milling machine with a FAGOR 8025-MG control device.
This work has been developed under the INFAERO project, supported by the “Orden de Incentivos a los Centros Tecnológicos de la Consejería de Innovación, Ciencia y Empresa de la Junta de Andalucía”.
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Martín–Mateos, F.J., González Valencia, L.C., Serrano Bello, R. (2010). Expert System to Real Time Control of Machining Processes. In: Meseguer, P., Mandow, L., Gasca, R.M. (eds) Current Topics in Artificial Intelligence. CAEPIA 2009. Lecture Notes in Computer Science(), vol 5988. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14264-2_29
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DOI: https://doi.org/10.1007/978-3-642-14264-2_29
Publisher Name: Springer, Berlin, Heidelberg
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