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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/69475
Title: 
Methodology for automatic selection of passes in surface grinding
Author(s): 
Institution: 
Universidade Estadual Paulista (UNESP)
ISSN: 
  • 1678-5878
  • 1806-3691
Abstract: 
The main purpose of this work is the development of computational tools in order to assist the on-line automatic detection of burn in the surface grinding process. Most of the parameters currently employed in the burning recognition (DPO, FKS, DPKS, DIFP, among others) do not incorporate routines for automatic selection of the grinding passes, therefore, requiring the user's interference for the choice of the active region. Several methods were employed in the passes extraction; however, those with the best results are presented in this article. Tests carried out in a surface-grinding machine have shown the success of the algorithms developed for pass extraction. Copyright © 2007 by ABCM.
Issue Date: 
1-Jan-2007
Citation: 
Journal of the Brazilian Society of Mechanical Sciences and Engineering, v. 29, n. 1, p. 7-13, 2007.
Time Duration: 
7-13
Keywords: 
  • Acoustic emission
  • Burning
  • Computational tools
  • Grinding process
  • Power signal
  • Algorithms
  • Automation
  • Computational methods
  • Computer aided software engineering
  • Feature extraction
  • Automatic detection
  • Grinding processes
  • Power signals
  • Grinding (machining)
Source: 
http://dx.doi.org/10.1590/S1678-58782007000100002
URI: 
Access Rights: 
Acesso aberto
Type: 
outro
Source:
http://repositorio.unesp.br/handle/11449/69475
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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