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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

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2003)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2774))

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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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Author information

Authors and Affiliations

  1. Information Systems Department Aguascalientes, Autonomous University of Aguascalientes, México

    Emma L. Mares

  2. Ford Industrial Chair in Light Metal Casting Technology, University of Windsor, Ontario, Canada

    Jerry H. Sokolowski

Authors
  1. Emma L. Mares
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  2. Jerry H. Sokolowski
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Editor information

Editors and Affiliations

  1. Computing Laboratory, Oxford University, Parks Road, OXI 3QD, Oxford, United Kingdom

    Vasile Palade

  2. Centre for SMART Systems, School of Environment and Technology, University of Brighton, BN2 4GJ, Brighton, UK

    Robert J. Howlett

  3. Knowledge-Based Intelligent Engineering Systems Centre, University of South Australia, Mawson Lakes, SA 5095, Adelaide, Australia

    Lakhmi Jain

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© 2003 Springer-Verlag Berlin Heidelberg

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Mares, E.L., Sokolowski, J.H. (2003). 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. In: Palade, V., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2003. Lecture Notes in Computer Science(), vol 2774. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45226-3_12

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  • DOI: https://doi.org/10.1007/978-3-540-45226-3_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40804-8

  • Online ISBN: 978-3-540-45226-3

  • eBook Packages: Springer Book Archive

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