Machining condition adjustment apparatus and machine learning device

A machining condition adjustment apparatus that adjusts a laser machining condition of a laser machining apparatus that performs laser machining on a workpiece, the machining condition adjustment apparatus comprising:

• a machine learning device that has learned the laser machining condition in the laser machining, wherein
• the machine learning device has
• a state observation section that observes, as state variables expressing a current state of an environment, machining condition data indicating the laser machining condition in the laser machining, and gas target deviation data indicating a target deviation of a pressure loss or a flow rate of assist gas,
• a learning section that has learned the target deviation of the pressure loss or the flow rate of the assist gas and adjustment of the laser machining condition in the laser machining in association with each other, and
• a decision-making section that determines the adjustment of the laser machining condition in the laser machining on the basis of the state variables observed by the state observation section and a learning result of the learning section.

A machine learning device that learns a laser machining condition of a laser machining apparatus that performs laser machining on a workpiece, the machine learning device comprising:

• a state observation section that observes, as state variables expressing a current state of an environment, machining condition data indicating the laser machining condition in the laser machining, and gas target deviation data indicating a target deviation of a pressure loss or a flow rate of assist gas;
• a determination data acquisition section that acquires workpiece quality determination data for determining quality of the workpiece machined on the basis of the laser machining condition in the laser machining, as determination data indicating a propriety determination result of the machining of the workpiece;
• and
• a learning section that learns the target deviation of the pressure loss or the flow rate of the assist gas and adjustment of the laser machining condition in the laser machining in association with each other using the state variables and the determination data.

A machine learning device that has learned a laser machining condition of a laser machining apparatus that performs laser machining on a workpiece, the machine learning device comprising:

• a state observation section that observes, as state variables expressing a current state of an environment, machining condition data indicating the laser machining condition in the laser machining, and gas target deviation data indicating a target deviation of a pressure loss or a flow rate of assist gas;
• a learning section that has learned the target deviation of the pressure loss or the flow rate of the assist gas and adjustment of the laser machining condition in the laser machining in association with each other;
• and
• a decision-making section that determines the adjustment of the laser machining condition in the laser machining on the basis of the state variables observed by the state observation section and a learning result of the learning section.