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

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
LanguageEnglish
Pages3207-3217
Number of pages11
JournalThe International Journal of Advanced Manufacturing Technology
Volume92
Issue number9-12
Early online date20 Apr 2017
DOIs
Publication statusPublished - Oct 2017

Fingerprint

Intelligent control
Machining centers
Real time control
Surface properties
Drilling
Wear of materials

Keywords

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

Cite this

Multiple classification of the force and acceleration signals extracted during multiple machine processes: part 2 intelligent control simulation perspective. / Griffin, James; Doberti, Alejandro J; Hernández, Valbort ; Miranda, Nicolás A. ; Vélez, Maximiliano A. .

In: The International Journal of Advanced Manufacturing Technology, Vol. 92, No. 9-12, 10.2017, p. 3207-3217.

Research output: Contribution to journalArticle

@article{b7f553e9c06241248ef7cfc39a5ca23a,
title = "Multiple classification of the force and acceleration signals extracted during multiple machine processes: part 2 intelligent control simulation perspective",
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",
keywords = "Burn , wavelet transforms and simulation, feature extraction , tool malfunction , accelerations , force , chatter",
author = "James Griffin and Doberti, {Alejandro J} and Valbort Hern{\'a}ndez and Miranda, {Nicol{\'a}s A.} and V{\'e}lez, {Maximiliano A.}",
year = "2017",
month = "10",
doi = "10.1007/s00170-017-0321-2",
language = "English",
volume = "92",
pages = "3207--3217",
journal = "The International Journal of Advanced Manufacturing Technology",
issn = "0268-3768",
publisher = "Springer Verlag",
number = "9-12",

}

TY - JOUR

T1 - Multiple classification of the force and acceleration signals extracted during multiple machine processes: part 2 intelligent control simulation perspective

AU - Griffin, James

AU - Doberti, Alejandro J

AU - Hernández, Valbort

AU - Miranda, Nicolás A.

AU - Vélez, Maximiliano A.

PY - 2017/10

Y1 - 2017/10

N2 - 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

AB - 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

KW - Burn

KW - wavelet transforms and simulation

KW - feature extraction

KW - tool malfunction

KW - accelerations

KW - force

KW - chatter

U2 - 10.1007/s00170-017-0321-2

DO - 10.1007/s00170-017-0321-2

M3 - Article

VL - 92

SP - 3207

EP - 3217

JO - The International Journal of Advanced Manufacturing Technology

T2 - The International Journal of Advanced Manufacturing Technology

JF - The International Journal of Advanced Manufacturing Technology

SN - 0268-3768

IS - 9-12

ER -