Abstract--The weld pool contains important information about the welding process Welding In this study, a polar coordinate model is proposed to characterize the weld pool
geometrically. The identification of its parameters involves complicated non-linear optimization which cannot
be done in real time using conventional algorithms. A neural network is therefore proposed to identify the
parameters in real time. By using pulsed laser illumination, clear images of the weld pool are captured. The
developed image proc,~.ssing algorithm extracts the boundary of the weld pool in real time. Thus, a real-time
system is developed to sense and process the image and identify the polar coordinate model. It is shown that
the weld penetration can be accurately determined using the model parameters. Thus, a real-time weld penetration
monitoring system is also achieved. Copyright © 1996 Elsevier Science Ltdمقاله در مورد ساختار حوضچه مذاب جوشکاری
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