A prediction model for keyhole geometry and acoustic signatures during variable polarity plasma arc welding based on extreme learning machine

摘要

Purpose - The purpose of this paper is to investigate the relationship between the keyhole geometry and acoustic signatures from the backside of a workpiece. It lays a solid foundation for monitoring the penetration state in variable polarity keyhole plasma arc welding.