Multiple classification of the force and acceleration signals extracted during multiple machine processes: part 2 intelligent control simulation perspective

James Griffin, Alejandro J Doberti, Valbort Hernández, Nicolás A. Miranda, Maximiliano A. Vélez

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Part 2 of this work looks at the simulation for the accurate control of multiple machine processes made on a machining centre. Specifically the models are based on controlling against two grinding anomalies; grinding burn and chatter, and for hole making; drilling tool wear and the onset of drill tool malfunction, which is also significant to severe scoring and material dragging. The work developed here takes the ideas of part 1 further where intelligent control based on the identification of force and accelerations in z axis time-frequency domain is applied. This work is significant to automated manufacturing, where observed anomalies significant to surfaces quality cannot be accepted and play an integral part to flexible automated manufacturing systems. The simulation models displayed in this part can easily be realised into prototype embedment promoting real-time control against unwanted surface anomalies for multiple machine processes
Original languageEnglish
Pages (from-to)3207-3217
Number of pages11
JournalThe International Journal of Advanced Manufacturing Technology
Volume92
Issue number9-12
Early online date20 Apr 2017
DOIs
Publication statusPublished - Oct 2017

Keywords

  • Burn
  • wavelet transforms and simulation
  • feature extraction
  • tool malfunction
  • accelerations
  • force
  • chatter

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