2013
DOI: 10.1016/j.rcim.2012.09.011
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Modeling of bead section profile and overlapping beads with experimental validation for robotic GMAW-based rapid manufacturing

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Cited by 173 publications
(88 citation statements)
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“…3, the relative errors of all three models are within ±4%. Compared with relative errors up to 15% in previous literature [22,24], the model parameters identified in this study are much more accurate without considering the material loss during the welding process. This is mainly due to the use of curve fitting with detailed bead cross-sectional measurements instead of only employing the bead height and width in the model fitting.…”
Section: Curve Fitting Resultsmentioning
confidence: 71%
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“…3, the relative errors of all three models are within ±4%. Compared with relative errors up to 15% in previous literature [22,24], the model parameters identified in this study are much more accurate without considering the material loss during the welding process. This is mainly due to the use of curve fitting with detailed bead cross-sectional measurements instead of only employing the bead height and width in the model fitting.…”
Section: Curve Fitting Resultsmentioning
confidence: 71%
“…Cao et al [23] fitted the weld bead boundary with Gaussian, logistic, parabola and sine functions, and found that the sine function can fit the measured data with highest accuracy. Xiong et al [24] compared the measured weld beads under different welding parameters to three frequently-used profile models, namely circular arc, parabola, and cosine function. It was shown that the optimal model for the bead profile is largely dependent on the ratio of wire feed rate to welding speed.…”
Section: Single Bead Modellingmentioning
confidence: 99%
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“…Through depositing multi-bead and multi-layer structures, it was demonstrated that the traditional flat-top overlapping model [17] tends to under-estimate the optimal step-over distance, while TOM produces more stable deposition. Details of TOM could be found in the reference [18].…”
Section: E Verification Of Bead Modelmentioning
confidence: 99%
“…Hybrid approaches to "3D welding and milling" have been established to fabricate parts with a high quality surface finish [14,15]. The effects of bead modelling and process optimization in arc-welding-based AM were also investigated [16][17][18]. Recently, vision-sensing systems have been designed to on-line monitor and control the robotic arc welding process to deposit the desired geometry [19][20][21].…”
Section: Introductionmentioning
confidence: 99%