Methodology for automatic selection of passes in surface grinding

• Autor(a) principal: Dotto, Fábio R. L. [UNESP]
• Data de Publicação: 2007
• Outros Autores: Aguiar, Paulo Roberto de [UNESP], Thomazella, Rogério [UNESP], Bianchi, Eduardo Carlos [UNESP]
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Institucional da UNESP
• Texto Completo: http://dx.doi.org/10.1590/S1678-58782007000100002; http://hdl.handle.net/11449/69475
• topic: 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)

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.