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Design of Multi-drilling Gear Machines by Knowledge Processing and Machine Simulation

  • G. Klene
  • A. Grauel
  • H. J. Convey
  • A. J. Hartley
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2412)

Abstract

A software concept for automated design of a multi-spindle drilling gear machine used in furniture production process is proposed. To find an optimised design of the target-machine, this means to find the minimum number of supports and gears as well as the optimised configuration of the multi-spindle drilling gears, an automated system based on pattern identification, knowledge discovery and automated decision process is explained. The transfer of acquired manual design experience from the human expert to a software strategy to solve the multi-criteria optimisation problem will achieve cost reductions during the machine design.

Keywords

Work Piece Pattern Identification Human Expert Intelligent Data Analysis Grid Distance 
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 Berlin Heidelberg 2002

Authors and Affiliations

  • G. Klene
    • 1
  • A. Grauel
    • 1
  • H. J. Convey
    • 2
  • A. J. Hartley
    • 2
  1. 1.Soest Campus, Unit 16, Department MathematicsUniversity of Applied SciencesSoestGermany
  2. 2.Faculty of Technology, Technology Development UnitBolton Institute of Higher EducationBoltonEngland

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