Controller-equipped machining apparatus having machining time measurement function and on-machine measurement function
AssigneeFanuc Corporation
InventorsTakeshi SAWADA, Weibo LI, Kunitaka KOMAKI, Yuuki KUROKAWA, Shinji AKIMOTO
Life of this patent
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Abstract
A machining apparatus is provided with a machine learning device that performs machine learning. The machine learning device performs the machine learning by receiving the input of machining accuracy between a machining shape of a workpiece measured on-machine and design data on the workpiece and machining time of the workpiece measured by a measurement device. Based on a result of the machine learning, the machining apparatus changes machining conditions such that the machining accuracy increases and the machining time becomes as short as possible.
Claims5
A machining apparatus comprising:
- an on-machine measurement section that measures a machining shape of a workpiece on-machine;
- a machining time measurement section that measures machining time of the workpiece;
- and
- a machine learning device that performs machine learning by receiving inputs of the machining time and machining accuracy between the machining shape and design data on the workpiece serving as inputs, wherein
- the machine learning device is configured to change a machining condition based on a result of the machine learning such that the machining accuracy increases and the machining time becomes as short as possible.
A machine learning device that has performed machine learning of an adjustment of a machining condition in machining of a workpiece by a machining apparatus, the machine learning device comprising:
- a learning result storage section that stores a result of the machine learning of the adjustment of the machining condition;
- a state observation section that acquires state data including at least machining time, machining accuracy of the workpiece, and the machining condition in the machining of the workpiece by the machining apparatus;
- a machining condition adjustment learning section that adjusts the machining condition based on the result of the machine learning of the adjustment of the machining condition and the state data acquired by the state observation section;
- and a machining condition output section that outputs the machining condition adjusted by the machining condition adjustment learning section.
Dependencies are inferred from the claim text.