Title: Development of a dressing monitoring system through artificial intelligence and acoustic maps for high performance grinding

Authors: J.F.G. Oliveira, A.P.S. Braga, A.C.P.L.F. Carvalho

Addresses: Departamento de Engenharia de Producao, Universidade de Sao Paulo, Av. Trabalhador Saocarlense, 400, Sao Carlos, SP 13566-590, Brazil. ' Departamento de Engenharia Eletrica, Universidade Federal do Ceara, Campus do Pici – Bl. 705 – Caixa Postal 6001, Fortaleza, CE, 60455-760, Brazil. ' Departamento de Ciencias de Computacao e Estatistica, Universidade de Sao Paulo, Caixa Postal 668, Sao Carlos, SP 13560-970, Brazil

Abstract: High performance grinding implies in reliable monitoring at high speeds. In this paper, the development of a dressing monitoring system based on Artificial Intelligence (AI) is discussed. Different from previous works that adopt AI to classify Acoustic Emission (AE) measurements in grinding operations, the proposed approach is less sensitive to noise. The results point out to increases in production velocity and quality. Simulated tests indicate to the high performance of the monitoring even in noise conditions.

Keywords: dressing monitoring; acoustic emission; acoustic maps; artificial intelligence; texture descriptors; high performance grinding; simulation; grinding wheels.

DOI: 10.1504/IJMTM.2007.014148

International Journal of Manufacturing Technology and Management, 2007 Vol.12 No.1/2/3, pp.171 - 183

Published online: 23 Jun 2007 *

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