A Step towards Intelligent Manufacturing: Modelling and Monitoring of Manufacturing Processes through Artificial Neural Networks

Laszlo Monostori, Janos Prohaszka

Research output: Contribution to journalArticle

98 Citations (Scopus)

Abstract

In the paper different approaches are described for applying artificial neural network techniques for modelling and monitoring of machining processes (turning, milling) by sensor integration. Back propagation networks are used for state classification of tools, estimation of the tool wear and inverse modelling of the cutting process. Special emphasis is placed on the incorporation of the varying cutting conditions into the learning phase and solutions, which are based upon normal operation, i.e. cutting with sharp tools. Performances of the developed strategies are demonstrated and compared. At the end of the paper the role and perspectives of artifical neural networks in intelligent manufacturing are highlighted.

Original languageEnglish
Pages (from-to)485-488
Number of pages4
JournalCIRP Annals - Manufacturing Technology
Volume42
Issue number1
DOIs
Publication statusPublished - 1993

Keywords

  • In-process monitoring
  • Neural networks
  • Tool wear

ASJC Scopus subject areas

  • Mechanical Engineering
  • Industrial and Manufacturing Engineering

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