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

  • P. K. Wright
  • P. J. Englert
  • C. C. Hayes
Part of the Artificial Intelligence in Industry Series book 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.

     

Keywords

Machine Tool Computer Numerically Control Feature Interaction Computer Numerically Control Machine Computer Numerically Control Machine Tool 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag London Limited 1991

Authors and Affiliations

  • P. K. Wright
  • P. J. Englert
  • C. C. Hayes

There are no affiliations available

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