Diagnóstico do estado de desgaste de ferramentas para o monitoramento de condições de usinagem de alto desempenho

<title>Monitoring machining conditions by infrared images</title>

“…The different camera curve's calibration for different Figure 6: Some of first order histogram extracted characteristics [20].…”

“…Figure 7: Infrared camera calibrations for different materials, [20]. materials (chip, insert, workpiece) was expected, because different materials have different properties and attributes, as described in AY & YANG (1997) [6], and SOLOMAN (1998) [8].…”

“…The difference of levels between the two curves is due to nature of the measures: the thermocouple measures the temperature inside the tool and the software anal- Figure 8: Gray scale with cut speed variation. [20]. Figure 9: Comparison of the temperature measure inside the tool, supplied by the thermocouple (bottom curve), and the temperature in the contact point between piece and tool, obtained by the infrared camera (top curve) [20].…”

“…Eliminating the time variable, it's generated graphs relating gray tones with temperatures. These graphs are used to trace the camera calibration curves for each sample [20]. In order to material temperature range wouldn't saturate the image gray tones during the machining process, a group of neutral density filters was inserted in the infrared camera lens extremity for image acquisition.…”

“…In order to material temperature range wouldn't saturate the image gray tones during the machining process, a group of neutral density filters was inserted in the infrared camera lens extremity for image acquisition. The number of filters was taken experimentally [20]. Figure 3 shows the process.…”