2004
DOI: 10.1016/j.jmatprotec.2004.04.194
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Laser cutting quality assessment and thermal efficiency analysis

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Cited by 88 publications
(54 citation statements)
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References 24 publications
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“…This incident could be related to the interaction between the gas pressure and the focal point position, which will be discussed later. Also, the lower kerf decreases as the cutting speed increases this is in agreement with findings reported in [8]. Fig.…”
Section: Lower Kerfsupporting
confidence: 92%
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“…This incident could be related to the interaction between the gas pressure and the focal point position, which will be discussed later. Also, the lower kerf decreases as the cutting speed increases this is in agreement with findings reported in [8]. Fig.…”
Section: Lower Kerfsupporting
confidence: 92%
“…It was found that the laser power has a highly significant effect on the kerf size. Yilbas [8] reported that increasing laser beam scanning speed reduces the kerf width, while the kerf width increases with increasing laser power. It was reported that the main effects of all the parameters employed have a significant influence on the cut quality.…”
mentioning
confidence: 99%
“…Considerable physical complexity justifies the existence of the literature dedicated to empirical investigations of quality parameters. Techniques such as analysis of variances, [17][18][19][20] response surface method, [20][21][22][23] multiple regression analysis, 9,24,25 artificial neural networks, 9,[26][27][28] and genetic algorithms 22 have been used in these studies. Results are captured as polynomials that relate a single output parameter to a set of input parameters.…”
Section: Speed-power-pressure Conceptmentioning
confidence: 99%
“…Existing studies [7][8][9][10][11][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29] do not consider the spatial characteristics of laser beams. Nevertheless, these are accounted for by the FPP, which is one of the key factors of the cutting process.…”
Section: Laser Beam Shape Position and Distortionmentioning
confidence: 99%
“…S. Lee and D. Dornfeld investigated the material property changes and cutting kerf shape to develop an effective way of automated deburring of precision component (4) . B. Yilbas identified the influence of cutting parameters on the resulting cut quality based on factorial analysis (5,6) . P. Sheng and V. Joshi developed a numerical analysis for the HAZ (7) .…”
Section: Introductionmentioning
confidence: 99%