Abstract
This paper presents an advance in detection of cutting states of the previous work to increase the capability of CNC turning process. A proposed method has been improved and developed to monitor and detect the cutting states based on proposed pattern recognition technique for CNC turning process within the small data-processing time by utilizing the dynamic cutting forces. The proposed method introduces three parameters, which are obtained by taking the ratio of the average variances of the dynamic cutting forces, to classify the cutting states of the continuous chip, the broken chip, the mixed broken chip, the chatter and the chatter occurred with broken chip. Among those cutting states, the broken chip and the mixed broken chip are required to improve the stability and capability of turning process. The algorithm was developed to calculate the values of three parameters in order to obtain the three-dimensional reference feature spaces and the proper threshold values for identification of the cutting states. An improvement of the proposed method is proved by series of cutting tests that the states of cutting are well detected regardless of any cutting conditions. The broken chips are obtained easily by changing the cutting conditions during the process. Finally, the effect of cutting conditions on the morphology of chips is also discussed.
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Tangjitsitcharoen, S. Advance in detection system to improve the stability and capability of CNC turning process. J Intell Manuf 22, 843–852 (2011). https://doi.org/10.1007/s10845-009-0355-x
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DOI: https://doi.org/10.1007/s10845-009-0355-x