US 12,638,814 B2 · Machine learning device

Abstract

Provided is a machine learning device capable of causing idling of a tool, and of calculating oscillation conditions that realize favorable evaluation data of finished workpieces. The machine learning device that learns oscillation conditions of a machine tool that performs oscillation cutting while oscillating a tool and a workpiece relative to each other is provided with a set conditions acquisition unit that acquires set conditions for the oscillation cutting, a label acquisition unit that acquires evaluation data of finished workpieces by the machine tool as a label, and a learning unit that performs supervised learning using a set of the set conditions and the label as training data, the learning unit being provided with a learning model for training oscillation conditions that optimize the evaluation data of the finished workpieces.

Claims13

Dependent claims

A computer device for learning an oscillation condition for a machine tool that performs oscillation machining while oscillating a tool and a workpiece relative to each other, comprising:

a processor,
wherein the processor is configured to:
acquire a condition setting for the oscillation machining;
acquire as a label, evaluation data on the workpiece machined with the machine tool, the evaluation data on the machined workpiece including data on a surface roughness, roundness, or dimensional accuracy of the machined workpiece;
and
perform supervised learning using a pair of the condition setting and the label as teacher data,
wherein the processor includes a learning model for learning an oscillation condition where the evaluation data on the machined workpiece is optimized to minimize the surface roughness of the machined workpiece, minimize the roundness of the machined workpiece, or maximize a dimensional accuracy of the machined workpiece.

4 more elements

A compute device for learning an oscillation condition for a machine tool that performs oscillation machining while oscillating a tool and a workpiece relative to each other, comprising:

a processor,
wherein the processor is configured to:
acquire as condition information, a condition setting for the oscillation machining;
acquire as determination information, evaluation data on the workpiece machined with the machine tool, the evaluation data on the machined workpiece including data on a surface roughness, roundness, or dimensional accuracy of the machined workpiece;
output action information indicating how to change the oscillation condition from a current condition;
calculate a value of a reward in reinforcement learning based on the determination information;
update a value function for setting a value of the oscillation condition for the machine tool based on the condition information, the action information, and the reward;
and output based on the value function, an optimal oscillation condition where the evaluation data on the machined workpiece is optimized to minimize the surface roughness of the machined workpiece, minimize the roundness of the machined workpiece, or maximize a dimensional accuracy of the machined workpiece.

5 more elements

Dependencies are inferred from the claim text.

Machine learning device

Life of this patent

Machine learning device

Life of this patent

Abstract

Claims13