Expert system to real time control of machining processes

  • Authors:

  • Francisco Jesus Martín-Mateos;Luis Carlos González Valencia;Rafael Serrano Bello

  • Affiliations:

  • Dept. of Computer Science and Artificial Intelligence, University of Sevilla, Sevilla, Spain;Dept. de Diseño Industrial, Instituto Andaluz de Tecnología, Sevilla, Spain;Dept. de Diseño Industrial, Instituto Andaluz de Tecnología, Sevilla, Spain

  • Venue:
  • CAEPIA'09 Proceedings of the Current topics in artificial intelligence, and 13th conference on Spanish association for artificial intelligence
  • Year:
  • 2009

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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.