Machine learning devices and methods for optimizing the speed and accuracy of thread mill, inner diameter, outer shape, and surface machine tools

Abstract

A machine learning device performs machine learning with respect to a numerical control device that operates a machine tool on the basis of a machining program. The machine learning device includes a state information acquisition unit configured to acquire state information including conditions of a spindle speed, a feed rate, a number of cuts, and a cutting amount per one time or a tool compensation amount, and a cycle time of cutting a workpiece, and machining accuracy of the workpiece; an action information output unit configured to output action information including modification information of the condition; a reward output unit configured to output a reward value in reinforcement learning on the basis of the cycle time and the machining accuracy; and a value function updating unit configured to update an action value function on the basis of a reward value, the state information, and the action information.