The paper presents a process controller aimed at improving the surface quality generated by traverse grinding, avoiding the surface defects caused by vibrations onset. The innovation provided by the proposed controller consists in suppressing vibration occurrence by means of a model-based and self-learning approach: a monitoring layer classifies occurring problems and a control logic exploits these indications to select the proper mitigation actions. Since wheel-regenerative chatter represents one of the most important problems during traverse grinding in terms of achievable productivity and finishing quality, the main control variable is the wheel velocity. This variable is tuned exploiting an adaptive Speed tuning Map computed by the controller using a heuristic approach and learning methodology. The control can manage also the other sources of vibration by means of proper identification and mitigation strategies. Experimental tests are carried out on a roll grinder to validate the control system. Good performances are achieved after some training tests to allow controller learning.

Model-based adaptive process control for surface finish improvement in traverse grinding

PARENTI, PAOLO;LEONESIO, MARCO;BIANCHI, GIACOMO DAVIDE
2016

Abstract

The paper presents a process controller aimed at improving the surface quality generated by traverse grinding, avoiding the surface defects caused by vibrations onset. The innovation provided by the proposed controller consists in suppressing vibration occurrence by means of a model-based and self-learning approach: a monitoring layer classifies occurring problems and a control logic exploits these indications to select the proper mitigation actions. Since wheel-regenerative chatter represents one of the most important problems during traverse grinding in terms of achievable productivity and finishing quality, the main control variable is the wheel velocity. This variable is tuned exploiting an adaptive Speed tuning Map computed by the controller using a heuristic approach and learning methodology. The control can manage also the other sources of vibration by means of proper identification and mitigation strategies. Experimental tests are carried out on a roll grinder to validate the control system. Good performances are achieved after some training tests to allow controller learning.
Chatter marks; Process control; Regenerative vibration; State-machine; Traverse grinding; Waviness; Mechanical Engineering; Computer Science Applications1707 Computer Vision and Pattern Recognition; Electrical and Electronic Engineering
File in questo prodotto:
File Dimensione Formato  
Model-based broadband estimation of cutting forces and tool vibration in milling through in-process indirect multiple-sensors measurements.pdf

Accesso riservato

: Post-Print (DRAFT o Author’s Accepted Manuscript-AAM)
Dimensione 1.64 MB
Formato Adobe PDF
1.64 MB Adobe PDF   Visualizza/Apri
Model-based adaptive process control for surface finish improvement in traverse grinding.pdf

accesso aperto

: Post-Print (DRAFT o Author’s Accepted Manuscript-AAM)
Dimensione 1.82 MB
Formato Adobe PDF
1.82 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1011829
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 13
  • ???jsp.display-item.citation.isi??? 11
social impact