Machine learning device, laser machine, and laser machining system

Abstract

To allow compensation of position error of a laser beam from a target position in a laser machine in response to temperature change while the compensation is to be affected intricately by a plurality of optical parts and constituting members. A machine learning device performs machine learning on a laser machine comprising a plurality of galvanometer mirrors for reflection of a laser beam and a plurality of galvanometer motors for driving corresponding ones of the galvanometer mirrors to rotate, and scanning the laser beam over a workpiece. The machine learning device comprises: input data acquisition unit that acquires at least two detected temperatures from the galvanometer mirrors and the galvanometer motors as input data; label acquisition unit that acquires a coefficient as a label for calculating a machining target position from an actual position of machining with the laser beam on the workpiece; and learning unit that performs supervised learning using a set of the label and the input data as training data to construct a mathematical model for calculating the machining target position from the actual machining position on the workpiece on the basis of the at least two detected temperatures.

Dependencies are inferred from the claim text.