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Neural network based application and data management for cutting values

  • Dieter Fichtner
  • Andreas Nestler
  • Andrew Kaldos
  • Christiane Rehm
Conference paper

Abstract

The manufacturing processes have to guarantee a flexible, high quality production at low cost. In order to fulfil the demands, intelligent information systems are required with special respect to the technology data type. A central point of technological data is the cutting values, i.e. feed and speed. The high speed milling process is one of the newly established processes with the need to set the optimum cutting parameters. The rapid development of advanced materials, tools etc. the results of a recent project* to solve cutting parameter generation problems by means of neural network, mathematical model and technology database system.

Keywords

Neural Network Parameter Selection Model Intelligent Information System Optimum Cutting Parameter Process Simulation Model 
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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References

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Copyright information

© Springer-Verlag London Limited 2000

Authors and Affiliations

  • Dieter Fichtner
    • 1
  • Andreas Nestler
    • 1
  • Andrew Kaldos
    • 2
  • Christiane Rehm
    • 1
  1. 1.Institute of Production EngineeringDresden University of TechnologyDresdenGermany
  2. 2.School of EngineeringLiverpool John Moores UniversityLiverpoolUK

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