Design, Integration and Evaluation of an Artificial Intelligence-Based Control System for the Improvement of the Monitoring and Quality Control Process in the Manufacturing of Metal Casting Components

  • Emma L. Mares
  • Jerry H. Sokolowski
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2774)

Abstract

An Artificial Intelligence-Based Control System (AIBCS) combined with Thermal Analysis (TA) is applied in this research on the manufacturing of aluminum casting components. The AIBCS comprises three interrelated IT’s based on statistical quality control techniques and Artificial Intelligence concepts. The IT’s integrated in the AIBCS are a Real-Time Data Acquisition System (RTDAS), a Statistical Process Control System (SPCS) and a Knowledge-Based System (KBS). Laboratory experiments and assessment of the AIBCS’s performance in terms of accuracy, reliability and timeliness showed superior monitoring and quality control of the casting process than traditional techniques.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Emma L. Mares
    • 1
  • Jerry H. Sokolowski
    • 2
  1. 1.Information Systems Department AguascalientesAutonomous University of AguascalientesMéxico
  2. 2.Ford Industrial Chair in Light Metal Casting TechnologyUniversity of WindsorOntarioCanada

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