A Combination of Vision- and Sensor-Based Defect Classifications in Extrusion-Based Additive Manufacturing

<table class="table-group" id="tab1"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Sensor specification</td><td class="align_center">Measurement</td><td class="align_center">Sampling frequency</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">IR temperature sensor (GY-614V3)</td><td class="align_center">Melt pool temperature</td><td class="align_center">5 Hz</td></tr><tr><td class="align_left">Accelerometer (ADXL357)</td><td class="align_center">Extruder vibration</td><td class="align_center">20 Hz</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Sensor specification and measurement.</div>

Journal of Sensors

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Table 1

Table 1: A Combination of Vision- and Sensor-Based Defect Classifications in Extrusion-Based Additive Manufacturing 