Cutting fluid amount adjusting device and system

Patent metadata

Field	Value
Publication number	US-11679463-B2
Application number	US-202016787074-A
Country	US
Kind code	B2
Filing date	Feb 11, 2020
Priority date	Feb 18, 2019
Publication date	Jun 20, 2023
Grant date	Jun 20, 2023

Abstract

A cutting fluid amount adjusting device acquires at least data indicating a machining state of a machine tool and data relating to cutting fluid supplied from a cutting fluid supplying device, creates data used in machine learning based on the acquired data, and executes, based on the created data, processing of the machine learning relating to the discharge amount of the cutting fluid from a cutting fluid nozzle in an environment in which machining of a workpiece by the machine tool is performed.

First claim

The invention claimed is:

1. A cutting fluid amount adjusting device for adjusting a discharge amount of cutting fluid from at least one cutting fluid nozzle included in a cutting fluid supplying device for supplying the cutting fluid to a machining region of a machine tool for machining a workpiece, the cutting fluid amount adjusting device comprising:
a data acquirer configured to acquire data comprising at least (i) data indicating a machining state by the machine tool and (ii) data relating to the cutting fluid supplied from the cutting fluid supplying device;
a preprocessor configured to create, based on the data acquired by the data acquirer, data used in machine learning; and
a machine learning device configured to execute, based on the data created by the preprocessor, processing of the machine learning relating to the discharge amount of the cutting fluid from the cutting fluid nozzle under an environment in which machining of the workpiece by the machine tool is performed.

2. The cutting fluid amount adjusting device according to claim 1 , wherein
the preprocessor creates, as data used in supervised learning by the machine learning device,
state data including at least tool data including information concerning a tool used in the machining of the workpiece by the machine tool,
machining condition data including information concerning machining conditions in the machining of the workpiece by the machine tool,
workpiece data including information concerning the workpiece machined by the machine tool,
cutting fluid data including information concerning the cutting fluid supplied to the machining region of the machine tool by the cutting fluid supplying device,
machining process data including information concerning a machining process of the workpiece by the machine tool,
cutting fluid discharge position data including information concerning a discharge position of the cutting fluid by the cutting fluid nozzle,
cutting fluid discharge amount data including an amount of the cutting fluid discharged from the cutting fluid nozzle included in the cutting fluid supplying device, and
label data including at least discharge amount propriety data indicating propriety of the discharge amount of the cutting fluid discharged from the cutting fluid nozzle, wherein

the machine learning device includes a learner configured to generate, based on the state data and the label data, (i) a learning model associating the machining state by the machine tool and (ii) a state of the cutting fluid supplied from the cutting fluid supplying device with the propriety of the discharge amount of the cutting fluid discharged from the cutting fluid nozzle.

3. The cutting fluid amount adjusting device according to claim 1 , wherein
the preprocessor creates, as data used in estimation by the machine learning device,
state data including at least tool data including information concerning a tool used in the machining of the workpiece by the machine tool,
machining condition data including information concerning machining conditions in the machining of the workpiece by the machine tool,
workpiece data including information concerning the workpiece machined by the machine tool,
cutting fluid data including information concerning the cutting fluid supplied to the machining region of the machine tool by the cutting fluid supplying device,
machining process data including information concerning a machining process of the workpiece by the machine tool,
cutting fluid discharge position data including information concerning a discharge position of the cutting fluid by the cutting fluid nozzle, and
cutting fluid discharge amount data including an amount of the cutting fluid discharged from the cutting fluid nozzle included in the cutting fluid supplying device, wherein

the machine learning device includes:
a learning-model storage configured to store (i) a learning model associating the machining state by the machine tool and (ii) a state of the cutting fluid supplied from the cutting fluid supplying device with propriety of the discharge amount of the cutting fluid discharged from the cutting fluid nozzle; and
an estimator configured to estimate, based on the state data, the propriety of the discharge amount of the cutting fluid discharged from the cutting fluid nozzle using the learning model stored in the learning-model storage, and the cutting fluid amount adjusting device further comprises a discharge-amount determiner configured to search for a minimum discharge amount of the cutting fluid estimated as good by the estimator and determine the discharge amount of the cutting fluid obtained by the search as an amount of the cutting fluid discharged from the cutting fluid nozzle.

4. The cutting fluid amount adjusting device according to claim 1 , wherein
the preprocessor creates, as data used in supervised learning by the machine learning device,
state data including at least tool data including information concerning a tool used in the machining of the workpiece by the machine tool,
machining condition data including information concerning machining conditions in the machining of the workpiece by the machine tool,
workpiece data including information concerning the workpiece machined by the machine tool,
cutting fluid data including information concerning the cutting fluid supplied to the machining region of the machine tool by the cutting fluid supplying device,
machining process data including information concerning a machining process of the workpiece by the machine tool,
cutting fluid discharge position data including information concerning a discharge position of the cutting fluid by the cutting fluid nozzle, and
label data including at least appropriate discharge amount data including an amount of the cutting fluid discharged from the cutting fluid nozzle, wherein the machine learning device includes a learner configured to generate, based on the state data and the label data, (i) a learning model associating the machining state by the machine tool and (ii) a state of the cutting fluid supplied from the cutting fluid supplying device with the discharge amount of the cutting fluid discharged from the cutting fluid nozzle.

5. The cutting fluid amount adjusting device according to claim 1 , wherein
the preprocessor creates, as data used in estimation by the machine learning device,
state data containing at least tool data including information concerning a tool used in the machining of the workpiece by the machine tool,
machining condition data including information concerning machining conditions in the machining of the workpiece by the machine tool,
workpiece data including information concerning the workpiece machined by the machine tool,
cutting fluid data including information concerning the cutting fluid supplied to the machining region of the machine tool by the cutting fluid supplying device,
machining process data including information concerning a machining process of the workpiece by the machine tool, and
cutting fluid discharge position data including information concerning a discharge position of the cutting fluid by the cutting fluid nozzle, wherein

the machine learning device includes:
a learning-model storage configured to store (i) a learning model associating the machining state by the machine tool and (ii) a state of the cutting fluid supplied from the cutting fluid supplying device with the discharge amount of the cutting fluid discharged from the cutting fluid nozzle; and
an estimator configured to estimate, based on the state data, an amount of the cutting fluid discharged from the cutting fluid nozzle using the learning model stored in the learning-model storage, and

the cutting fluid amount adjusting device further comprises a discharge-amount determiner configured

Assignees

• Fanuc Corp

Inventors

• Ozeki Shinichi

Classifications

• B23Q11/1038 Primary

  using cutting liquids with special characteristics, e.g. flow rate, quality · CPC title

• G06F18/2155

  characterised by the incorporation of unlabelled data, e.g. multiple instance learning [MIL], semi-supervised techniques using expectation-maximisation [EM] or naïve labelling · CPC title

• G05B13/027

  using neural networks only · CPC title

• B23Q11/10 Primary

  Arrangements for cooling or lubricating tools or work · CPC title

• B23Q11/0042

  Devices for removing chips (B23Q11/02, B23Q11/0875 take precedence) · CPC title