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This paper presents the development of a back propagation neural network model for the forecasting the weld bead geometry (bead height and width) and penetration (depth and area) in cold metal transfer (CMT) welding process. Several welding parameters seem to influence the bead geometry and penetration. Typically, it is observed that high welding speeds or low heat inputs normally produced poor fusion...
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