MACHINE-LEARNING DEVICE, LAMINATE MOLDING SYSTEM, MACHINE-LEARNING METHOD FOR WELDING CONDITION, ADJUSTMENT METHOD FOR WELDING CONDITION, AND PROGRAM

摘要

Provided is a machine-learning device which performs machine learning for welding conditions when a laminated molding article is molded by welding a filler material and laminating weld beads, wherein the machine-learning device comprises a training process means which performs a training process for generating a trained model in which two pieces of shape data of the welding beads or the difference between the two pieces of shape data is taken as input data, and the difference between welding conditions, which corresponds to the difference between the two pieces of shape data, is taken as output data.