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- W137195286 abstract "The development of fully automated machine tools requires reliable tool monitoring methods; particularly reliable on-line tool wear measuring methods. Among the two major types of tool wear (i.e., flank wear and crater wear) the amount of flank wear is more often used in determining the tool life, and the mechanism of its development is better understood. In this study, the problem of developing a reliable on-line flank wear measuring method is treated using adaptive observer techniques based on cutting force measurement and computer vision.In a previously developed flank wear model, the flank wear is represented as the summation of two unmeasureable states in a nonlinear dynamic system realized in state space equation form. The inputs to the system are the feed, the cutting speed and the depth of cut, i.e., the cutting condition, and the output is the cutting force. Based on this model, a nonlinear observer is designed using the fact that flank wear development is physically bounded. The flank wear is estimated on-line using this nonlinear observer and the measurements of the cutting force and the cutting conditions. However, for the use of the nonlinear observer in practice, extensive preliminary experiments are required to determine the model parameters.To eliminate the need for such experiments, two types of adaptive observers are designed, based on a simplified flank wear model and the Recursive Prediction Error parameter estimation method. These adaptive observers simultaneously estimate the flank wear and a unknown flank wear model parameter, using the measurements of the cutting force and the cutting conditions.One of the adaptive observers is integrated with a computer vision system developed for direct measurement of the flank wear. In the integrated system, the adaptive observer is intermittently calibrated using direct flank wear measurements via the computer vision. This method is particularly effective in cutting operations where several computer vision measurements are available throughout the tool life. This integrated method has been evaluated through cutting experiments under constant cutting conditions and time varying cutting conditions in which the feed was repeatedly changed stepwise, and yielded excellent results for on-line flank wear estimation." @default.
- W137195286 created "2016-06-24" @default.
- W137195286 creator A5021707568 @default.
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- W137195286 date "1990-01-01" @default.
- W137195286 modified "2023-09-27" @default.
- W137195286 title "Adaptive observer and computer vision for online flank wear estimation" @default.
- W137195286 hasPublicationYear "1990" @default.
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