Abstract

Processing of images for real-time monitoring of metal transfer process is challenging. To address this challenge, the authors analyzed the characteristics of metal transfer images in a novel modification of GMAW (gas metal arc welding), referred to as double-electrode GMAW or DE-GMAW, and proposed an algorithm consisting of a system of effective steps to extract the needed droplet feedback information from high frame-rate low-resolution metal transfer images. Experimental results verified the effectiveness of the proposed algorithm in automatically locating the droplet and computing the droplet size with an adequate accuracy.

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