Machine-learning method, machine-learning device, machine-learning program, communication method, and control device

A machine-learning device that decides an isostatic pressurization processing condition of an isostatic pressurization system that performs isostatic pressurization processing on a workpiece using a pressure medium, wherein

• the isostatic pressurization system includes:
• an isostatic pressurization device that includes a pressure vessel that stores the workpiece, and is configured by a cold isostatic pressurization device or a warm isostatic pressurization device;
• a compressor configured to supply the pressure medium to the pressure vessel;
• a pressure adjustment mechanism capable of adjusting a pressure in the pressure vessel;
• and
• a control device that controls the isostatic pressurization device,
• the machine-learning device comprising:
• a state acquisition part that acquires a state variable including at least one physical quantity related to the workpiece and at least one isostatic pressurization processing condition;
• a reward calculation part that calculates a reward for a decision result of the at least one isostatic pressurization processing condition based on the state variable;
• an update part that updates, based on the reward, a function for deciding the at least one isostatic pressurization processing condition from the state variable while changing the at least one isostatic pressurization processing condition;
• and
• a decision part that decides an isostatic pressurization processing condition that maximizes the reward by repeating updating of the function,
• the at least one isostatic pressurization processing condition being at least one of a first parameter related to the workpiece, a second parameter related to a pre-process of the isostatic pressurization processing, and a third parameter related to an operating condition of the isostatic pressurization device, and
• the at least one physical quantity being at least one of physical quantities related to densification and green compaction of the workpiece.

A learning program of a machine-learning device that decides an isostatic pressurization processing condition of an isostatic pressurization system that performs isostatic pressurization processing on a workpiece using a pressure medium, wherein

• the isostatic pressurization system includes:
• an isostatic pressurization device that includes a pressure vessel that stores the workpiece, and is configured by a cold isostatic pressurization device or a warm isostatic pressurization device;
• a compressor configured to supply the pressure medium to the pressure vessel;
• a pressure adjustment mechanism capable of adjusting a pressure in the pressure vessel;
• and
• a control device that controls the isostatic pressurization device,
• the learning program causing a computer to function as:
• a state acquisition part that acquires a state variable including at least one physical quantity related to the workpiece and at least one isostatic pressurization processing condition;
• a reward calculation part that calculates a reward for a decision result of the at least one isostatic pressurization processing condition based on the state variable;
• an update part that updates, based on the reward, a function for deciding the at least one isostatic pressurization processing condition from the state variable while changing the at least one isostatic pressurization processing condition;
• and
• a decision part that decides an isostatic pressurization processing condition that maximizes the reward by repeating updating of the function,
• the at least one isostatic pressurization processing condition being at least one of a first parameter related to the workpiece, a second parameter related to a pre-process of the isostatic pressurization processing, and a third parameter related to an operating condition of the isostatic pressurization device, and
• the at least one physical quantity being at least one of physical quantities related to densification and green compaction of the workpiece.

A communication method of a control device of an isostatic pressurization system at a time of machine-learning an isostatic pressurization processing condition of the isostatic pressurization system, the isostatic pressurization system performing isostatic pressurization processing on a workpiece using a pressure medium, wherein

• the isostatic pressurization system includes:
• an isostatic pressurization device that includes a pressure vessel that stores the workpiece, and is configured by a cold isostatic pressurization device or a warm isostatic pressurization device;
• a compressor configured to supply the pressure medium to the pressure vessel;
• a pressure adjustment mechanism capable of adjusting a pressure in the pressure vessel;
• and
• the control device,
• the control device observing a state variable including at least one physical quantity related to the workpiece and at least one isostatic pressurization processing condition, and
• the control device transmitting the state variable to a server via a network and receiving at least one machine-learned isostatic pressurization processing condition from the server, and
• the at least one isostatic pressurization processing condition is generated by the server calculating a reward for a decision result of the at least one isostatic pressurization processing condition based on the state variable;
• updating, based on the reward, a function for deciding the at least one isostatic pressurization processing condition from the state variable while changing the at least one isostatic pressurization processing condition;
• and deciding an isostatic pressurization processing condition that maximizes the reward by repeating updating of the function,
• the at least one isostatic pressurization processing condition is at least one of a first parameter related to the workpiece, a second parameter related to a pre-process of the isostatic pressurization processing, and a third parameter related to an operating condition of the isostatic pressurization device, and
• the at least one physical quantity is at least one of physical quantities related to densification and green compaction of the workpiece.

A control device of an isostatic pressurization system that performs isostatic pressurization processing on a workpiece using a pressure medium, wherein

• the isostatic pressurization system includes:
• an isostatic pressurization device that includes a pressure vessel that stores the workpiece, and is configured by a cold isostatic pressurization device or a warm isostatic pressurization device;
• a compressor configured to supply the pressure medium to the pressure vessel;
• a pressure adjustment mechanism capable of adjusting a pressure in the pressure vessel;
• a state observation part that observes a state variable including at least one physical quantity related to the workpiece and at least one isostatic pressurization processing condition;
• and
• a communication part that transmits the state variable to a server via a network and receives at least one machine-learned isostatic pressurization processing condition from the server, and
• the at least one isostatic pressurization processing condition is generated by the server calculating a reward for a decision result of the at least one isostatic pressurization processing condition based on the state variable;
• updating, based on the reward, a function for deciding the at least one isostatic pressurization processing condition from the state variable while changing the at least one isostatic pressurization processing condition;
• and deciding an isostatic pressurization processing condition that maximizes the reward by repeating updating of the function,
• the at least one isostatic pressurization processing condition is at least one of a first parameter related to the workpiece, a second parameter related to a pre-process of the isostatic pressurization processing, and a third parameter related to an operating condition of the isostatic pressurization device, and
• the at least one physical quantity is at least one of physical quantities related to densification and green compaction of the workpiece.