CHARACTERIZATION AND PREDICTION OF WELDING DROPLET RELEASE USING TIME SERIES DATA MINING
Richard J. Povinelli, Xin Feng · 2000
This paper presents the results from characterizing and predicting the release of droplets of metal from a welder. The welding process joins two pieces of metal into one by making a joint between them. An arcing current melts the tip of a wire, forming a metal droplet that elongates until it releases. The goal is to predict the moment when a droplet will release, which can improve the quality of the joint by allowing the droplet releases to be monitored and controlled.