Real Time Monitoring Of Tool Breakage In A Milling Operation Using A Digital Signal Processor.pdf
Journal of Materials Processing Technology 100 (2000) 266±272 Real time monitoring of tool breakage in a milling operation using a digital signal processor Dae Kyun Baeka, Tae Jo Kob,*, Hee Sool Kimb aAndong Institute of Information Technology, 1217 Imha, Andong, Kyoungbuk 760-830, South Korea bSchool of Mechanical Engineering, Yeungnam University, 214-1 Daedong, Gyoungsan, Kyoungbuk 712-749, South Korea Accepted 17 December 1999 Abstract A monitoring system that can detect tool breakage and chipping in real time was developed using a digital signal processor (DSP) board in a face milling operation. An autoregressive (AR) model and a band energy method were used to extract the features of tool states from cutting force signals. Then, two arti®cial works, which have a parallel processing capability, were embedded on the DSP board to discriminate different malfunction states from features obtained by each of the two methods of signal processing. In experiments, we found that feature parameters extracted by AR modeling were more accurate indicators of malfunctions in the process than those from the band energy method, although puting speed is slower. By using the selected features, we were able to monitor malfunctions in real time. # 2000 Elsevier Science . All rights reserved. Keywords: Milling operation; Tool breakage; Real time; AR modeling; DSP (digita
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