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Applications of Artificial Intelligence to Part Setup and Workholding in Automated Manufacturing

  • Chapter
Artificial Intelligence in Design

Part of the book series: Artificial Intelligence in Industry Series ((AI INDUSTRY))

Abstract

With the eventual goals of reducing labour costs and increasing quality in small-batch manufacturing, several research institutions and industrial organizations have been developing research methods that:

  1. 1.

    Analyse the part setup planning actions of human machinists with the aim of creating automated part process planning methods at the computer numerically controlled (CNC) machine tool level.

  2. 2.

    Analyse part clamping and fixturing methods in milling that can then be used for designing and operating automated workholding devices. This research has focused on innovative hardware design, interfacing of sensors to clamping components and the development of mathematical models to approximate clamping.

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Authors
  1. P. K. Wright
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  2. P. J. Englert
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  3. C. C. Hayes
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Editor information

Editors and Affiliations

  1. School of Electrical, Electronic and Systems Engineering, University of Wales College of Cardiff, PO Box 904, Cardiff, CF1 3YH, UK

    D. T. Pham PhD

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© 1991 Springer-Verlag London Limited

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Wright, P.K., Englert, P.J., Hayes, C.C. (1991). Applications of Artificial Intelligence to Part Setup and Workholding in Automated Manufacturing. In: Pham, D.T. (eds) Artificial Intelligence in Design. Artificial Intelligence in Industry Series. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-74354-2_12

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  • DOI: https://doi.org/10.1007/978-3-642-74354-2_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-74356-6

  • Online ISBN: 978-3-642-74354-2

  • eBook Packages: Springer Book Archive

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