In manufacturing, grinding is the process that shapes very hard work pieces with a high degree of dimensional accuracy and surface finish. The efficiency of the grinding process is regarded as a very important issue in the modern and competitive metal-mechanic industry, since it usually represents the major portion of processing costs [1–8]. The grinding process is strongly dependent on the topography surface of the grinding wheel, an expendable wheel thatcarries an abrasive compound on its periphery, since it is the cutting tool in grinding operations [1–3, 9–11]. The process responsible for preparing the topography surface of the grinding wheel is named dressing [2, 9, 12]. This process removes the current layer of abrasive, leading to a. fresh and sharp surface. Thus, the dressing process has an important effect on the efficiency of the grinding process, because the quality of the cutting tool directly affects the quality of the final product [2].
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de Braga, A.P.S., de Carvalho, A.C.P.L.F., de Oliveira, J.F.G. (2008). Computational Intelligence Applied to the Automatic Monitoring of Dressing Operations in an Industrial CNC Machine. In: Liu, Y., Sun, A., Loh, H.T., Lu, W.F., Lim, EP. (eds) Advances of Computational Intelligence in Industrial Systems. Studies in Computational Intelligence, vol 116. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78297-1_12
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