2021
DOI: 10.1007/s40516-021-00152-4
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A Generalised Approach on Kerf Geometry Prediction during CO2 Laser cut of PMMA Thin Plates using Neural Networks

Abstract: This study presents an application of feedforward and backpropagation neural network (FFBP-NN) for predicting the kerf characteristics, i.e. the kerf width in three different distances from the surface (upper, middle and down) and kerf angle during laser cutting of 4 mm PMMA (polymethyl methacrylate) thin plates. Stand-off distance (SoD: 7, 8 and 9 mm), cutting speed (CS: 8, 13 and 18 mm/sec) and laser power (LP: 82.5, 90 and 97.5 W) are the studied parameters for low power CO 2 laser cutting. A three-paramete… Show more

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Cited by 23 publications
(21 citation statements)
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“…A low power continuous CO 2 laser (1325B, BCL) was used for conducting the experiments [15]. Assist gas was air, set at 1 bar (constant pressure), tip diameter of 2 mm was used (convergent nozzle, [16]), and the focal length was 46 mm when laser nozzle stand-off distance was set at 8 mm (0.3 mm spot diameter in focal length).…”
Section: Methodsmentioning
confidence: 99%
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“…A low power continuous CO 2 laser (1325B, BCL) was used for conducting the experiments [15]. Assist gas was air, set at 1 bar (constant pressure), tip diameter of 2 mm was used (convergent nozzle, [16]), and the focal length was 46 mm when laser nozzle stand-off distance was set at 8 mm (0.3 mm spot diameter in focal length).…”
Section: Methodsmentioning
confidence: 99%
“…The spot diameter and the airflow distribution at the upper kerf surface changed when the SoD changed. Mirrors and lenses of the CO 2 laser configuration are presented in [15].…”
Section: Methodsmentioning
confidence: 99%
See 3 more Smart Citations