IP Library Granted Patent US 10,295,986
Granted Patent B2
US 10,295,986 · App. 15/691,972 · Granted May 21, 2019

Numerical controller

Inventors: Takuya Saitou (Yamanashi, JP); Toshinori Matsukawa (Yamanashi, JP)
Assignee: Fanuc Corporation
G05B19/406G05B19/40932G06N3/084G06N20/00G06N99/005G05B2219/33321G05B2219/49307
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Quick Facts
Patent No.
US 10,295,986
App. No.
15/691,972
Granted
May 21, 2019
Kind
B2
Abstract

A numerical controller which controls a machine tool acquires tool information including a shape of a tool, a machining condition in machining, and information related to a machining result of a workpiece after machining. A machine learning device performs machine learning on tendency of the information related to a machining result with respect to the tool information and the machining condition based on the tool information and the machining condition used as input data and based on the information related to a machining result used as teacher data, so as to construct a learning model. The machine learning device determines whether or not a machining result is good by using the learning model based on the tool information and the machining condition before the machine tool machines a workpiece.

Claims (7)

1. A numerical controller which controls a machine tool machining workpiece with a tool, the numerical controller configured to:

acquire tool information including a shape of the tool;

acquire a machining condition in the machining of the workpiece; and

acquire information related to a machining result of the workpiece after the machining of the workpiece; and

wherein the numerical controller comprises a machine learning device which performs machine learning on tendency of the information related to a machining result with respect to the tool information and the machining condition based on the tool information and the machining condition used as input data and based on the information related to a machining result used as teacher data, so as to construct a learning model, and wherein

the machine learning device is configured to determine whether or not a machining result is good by using the constructed learning model based on the tool information acquired by the shape data acquisition unit and the machining condition acquired by the machining condition acquisition unit, before the machine tool machines the workpiece.

2. The numerical controller according to claim 1 , wherein the machine learning device constructs a learning model by a multilayer neural network.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 12, 2018
From: SAITOU, TAKUYA; MATSUKAWA, TOSHINORI
To: FANUC CORPORATION
Reel/Frame 044606/0149 →
Priority Claims (1)
JP 2016-173761 · Sep 6, 2016 · national
Continuity (1)
Related Publication 20180067471A1 · Mar 8, 2018
Cited By (2)
US 12,226,876 US 12,330,265