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Development of Tool Wear Machining Monitoring Using Novel Statistical Analysis Method, I-kaz™

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Figure

Table 1. Sets of experiment with the machining parameters used  Set Cutting  Speed,
Fig. 1. (a) Flowchart of the research; (b) Schematic illustration of experiment preparatory
Fig. 2. Piezoelectric signal in time and frequency domain
Fig. 3 shows the relationship between flank wear data against the number of runs made until 0.3 mm wear criterion  is achieved
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