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Machine learning device, numerical value control device, machine tool, and machine learning method

A technology of machine learning and numerical control devices, which is applied in the direction of neural learning methods, machine learning, nuclear methods, etc., can solve the problems of long time for workpiece handover and prolonged waiting time, etc.

Active Publication Date: 2020-03-17
MITSUBISHI ELECTRIC CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In order to reliably transfer workpieces between chucks, if the waiting time from when the chuck on the receiving side starts to close to when the chuck on the delivery side starts to release the workpiece is prolonged, it will take a long time to transfer workpieces

Method used

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  • Machine learning device, numerical value control device, machine tool, and machine learning method
  • Machine learning device, numerical value control device, machine tool, and machine learning method
  • Machine learning device, numerical value control device, machine tool, and machine learning method

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Embodiment approach

[0020] figure 1 It is a figure which shows the structure of the operation system concerning an embodiment. exist figure 1 In , the case where the operating system 1 is viewed from the vertical direction is shown. In the present embodiment, a case will be described where the vertical direction is the Y-axis direction and the horizontal direction, which is the moving direction of the workpiece 40 , is the X-axis direction and the Z-axis direction.

[0021] The working system 1 includes a working machine 2 that processes a workpiece 40 , and a control system 3 that controls the operation of the working machine 2 . Examples of the machine tool 2 are lathes and machining centers. Next, a case where the machine tool 2 is a lathe will be described.

[0022] The machine tool 2 has a rotary unit 35 , a loader chuck 32 as a first chuck, a spindle chuck 31 as a second chuck, and a loader 36 as a conveyance mechanism for the workpiece 40 . The operation of the loader 36 is controlled...

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Abstract

This machine learning device (20) learns a standby time for at least one of grasping of a workpiece (40) by a main spindle chuck (31) and releasing of the workpiece (40) by a loader chuck (32) duringdelivery of the workpiece (40) between the loader chuck (32), which grabs and sends the workpiece (40), and the main spindle chuck (31), which grabs and receives the workpiece (40), the machine learning device (20) comprising: a state observation unit (25) that observes, as state variables (56A, 56B), the standby time and an FB current (55) from a drive unit (37) that causes the loader chuck (32)to move; and a learning unit (21) that learns the standby time for shortening the delivery time of the workpiece (40) according to a data set created on the basis of the state variables (56A, 56B).

Description

technical field [0001] The invention relates to a machine learning device, a numerical control device, a working machine and a machine learning method for learning handover actions of workpieces. Background technique [0002] In a working machine such as a lathe, in the transfer operation of the workpiece between the chuck on the conveying side that holds the workpiece and the chuck on the receiving side that holds the workpiece, it is necessary to securely hold the workpiece by the chuck on the receiving side. , the chuck on the conveying side releases the workpiece. In order to reliably transfer workpieces between chucks, if the waiting time from when the chuck on the receiving side starts closing to when the chuck on the conveying side starts releasing the workpiece becomes longer, it takes a long time to transfer workpieces. Therefore, it is desirable to complete the handover of workpieces in a short time. [0003] In the clamping control device described in Patent Doc...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B19/4155B23B15/00B23B31/00B23Q17/00
CPCB25J9/163G05B19/4065G05B19/18G05B2219/39505G06N3/006G06N20/10G06N3/126G06N3/08G06N5/04B25J9/1669G05B19/4155G06N20/00B25J9/1612B25J9/1682
Inventor 加藤勇太石田泰一
Owner MITSUBISHI ELECTRIC CORP