Multiple classification of the force and acceleration signals extracted during multiple machine processes: part 2 intelligent control simulation perspective
Author
dc.contributor.author
Griffin, James M.
Author
dc.contributor.author
Doberti, Alejandro J.
Author
dc.contributor.author
Hernández, Valbort
Author
dc.contributor.author
Miranda, Nicolás A.
Author
dc.contributor.author
Vélez, Maximiliano A.
Admission date
dc.date.accessioned
2018-06-25T19:43:44Z
Available date
dc.date.available
2018-06-25T19:43:44Z
Publication date
dc.date.issued
2017
Cita de ítem
dc.identifier.citation
Int J Adv Manuf Technol (2017) 92:3207–3217
es_ES
Identifier
dc.identifier.other
10.1007/s00170-017-0321-2
Identifier
dc.identifier.uri
https://repositorio.uchile.cl/handle/2250/149187
Abstract
dc.description.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.
International Journal of Advanced Manufacturing Technology
es_ES
Keywords
dc.subject
Burn
es_ES
Keywords
dc.subject
Chatter
es_ES
Keywords
dc.subject
Force
es_ES
Keywords
dc.subject
Accelerations
es_ES
Keywords
dc.subject
Tool malfunction
es_ES
Keywords
dc.subject
Feature extraction
es_ES
Keywords
dc.subject
Wavelet transforms and simulations
es_ES
Título
dc.title
Multiple classification of the force and acceleration signals extracted during multiple machine processes: part 2 intelligent control simulation perspective