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Application of artificial neural network techniques in computer aided process planning - a review

Author

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  • K.K. Natarajan
  • J. Gokulachandran

Abstract

Computer aided process planning (CAPP) bridges the gap between computer aided design and computer aided manufacturing. CAPP research includes neural network approaches, knowledge-based techniques, Petri nets, agent- based, fuzzy set theory, genetic algorithm, standard for the exchange of product model data (STEP)-Compliant CAPP and internet-based techniques. This study mainly focuses on the application of the artificial neural network (ANN) techniques in CAPP because of their learning ability and huge potential toward dynamic planning. The role of an artificial neural network in feature recognition, machine selection, operation and machine tool selection are emphasised in detail in this survey paper.

Suggested Citation

  • K.K. Natarajan & J. Gokulachandran, 2021. "Application of artificial neural network techniques in computer aided process planning - a review," International Journal of Process Management and Benchmarking, Inderscience Enterprises Ltd, vol. 11(1), pages 80-100.
    • Handle: RePEc:ids:ijpmbe:v:11:y:2021:i:1:p:80-100
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