A process includes: (i) receiving image data, dividing a portion of the image data into a plurality of grids including a first grid, a second grid, a third grid, and a fourth grid, dividing the portion of the image data into a plurality of areas including (a) a first area including the first grid and the third grid, and (b) a second area including the second grid and the fourth grid; (ii) detecting an object relating to the first grid; and (iii) when the object is detected in the first grid, generating a signal for controlling discharge of fluid from a fluid discharging unit so that fluid flows through the first area including the first grid.

The state of a cutting fluid after machining is predicted. A machine learning device includes: an input data acquisition unit that acquires input data including arbitrary machining conditions for an arbitrary work in machining by an arbitrary machine tool and state information indicating a state of a cutting fluid before machining is performed under the machining conditions; a label acquisition unit that acquires label data indicating state information of the cutting fluid after the machining is performed under the machining conditions included in the input data; and a learning unit that executes supervised learning using the input data acquired by the input data acquisition unit and the label data acquired by the label acquisition unit to generate a learned model.

Disclosed is a chip processing device for a machine tool, including a cleaning nozzle control unit 30 that controls a cleaning nozzle for spraying a cleaning fluid onto chips scattered during machining so as to guide the chips to a chip collection portion, wherein the cleaning nozzle control unit 30 includes: a position estimation unit 31 that estimates an accumulation position of generated chips by analyzing machining conditions of a workpiece; and a nozzle orientation adjustment unit 34 that adjusts an orientation of the cleaning nozzle toward the accumulation position estimated by the position estimation unit 31.

Specify a position of a target in a machine tool. An information processing device of the present disclosure is an information processing device for controlling a liquid discharger included in a machine tool discharging liquid so as to move chips occurring from a workpiece, the information processing device including: an image acquiring portion configured to acquire image data of an inside of the machine tool, imaged by an imaging device; a detector configured to detect a target to which the liquid is discharged by the liquid discharger from the image data; a position acquiring portion configured to acquire position information of a movable portion installed in the machine tool, the movable portion being configured so that the workpiece is disposed thereon and the workpiece can move; and a controller configured to control the liquid discharger which is installed in the machine tool and which discharges the liquid toward the target associated with the movable portion, wherein: the position acquiring portion can acquire first position information of the movable portion when imaged by the imaging device and second position information of the movable portion after the movable portion moves from the first position information; and the controller controls at least one of a position, orientation, and discharge pressure of the liquid discharger based on (i) a position of the target when imaged by the imaging device, and (ii) the first position information and (iii) the second position information acquired by the position acquiring portion, when the target moves as a result of movement of the movable portion.

The state of a cutting fluid after machining is predicted. A machine learning device includes: an input data acquisition unit that acquires input data including arbitrary machining conditions for an arbitrary work in machining by an arbitrary machine tool and state information indicating a state of a cutting fluid before machining is performed under the machining conditions; a label acquisition unit that acquires label data indicating state information of the cutting fluid after the machining is performed under the machining conditions included in the input data; and a learning unit that executes supervised learning using the input data acquired by the input data acquisition unit and the label data acquired by the label acquisition unit to generate a learned model.

Disclosed is a numerical controller that has a cutting in/out motion inserting function and configured to control a machine tool that performs lathe-turning machining in which a cutting tool moves in contact with a rotating workpiece. The numerical controller includes a cutting in/out motion inserting unit that generates a program to perform cutting in/out motion, based on operation conditions analyzed by a cutting in/out motion operation conditions analysis unit and inserts the generated program of performing the cutting in/out motion to a program to perform the lathe-turning machining.

There is provided a technique for more reliably detecting clogging of a filter with chips over conventional techniques. A machine tool that can machine a workpiece includes a storage tank; a discharge unit that discharges coolant stored in the storage tank toward chips resulting from the machining of the workpiece; a filter that removes the chips from the coolant; a collecting pump that brings the coolant back to the storage tank; a first obtaining unit that obtains a first index value indicating an amount of coolant discharged per predetermined time; a second obtaining unit that obtains a second index value indicating an amount of coolant that is brought back to the storage tank per predetermined time; and a notifying unit that notifies of an abnormality in the filter when a result of comparison of the first index value with the second index value satisfies a predetermined abnormality condition.

The controller for a machine tool according to the present invention makes it possible to discharge both a coolant and an oil mist from a through hole provided in the tool equipped to a main axis of a machine tool, allows a processing program to instruct the discharge of either the coolant or the oil mist, and carries out such a control that a state where the above-described tool is detached from the main axis is maintained during a predetermined period of time at the time of replacing the tool, and at the same time, the oil mist is discharged from the above-described oil mist unit so as to remove the coolant from the above-described piping during the predetermined period of time.

An information processing device that generates a fluid discharge path for discharging fluid into a machine tool to move chips includes: a detecting unit for detecting a first input signal for a first position on an image of the inside of the machine tool, a second input signal for a second position on the image of the inside of the machine tool, and a third input signal on a plurality of discharges; and a display control unit for performing control to display the first position, the second position, a third position, and a fourth position superimposed on image data obtained by imaging of a target area on the basis of the signals detected by the detecting unit, the third position and the fourth position being corners different from the first position and the second position among four corners of a quadrangle having a diagonal being a line connecting the first position and the second position.

A machining tool is provided having an insert that includes one or more interface surfaces configured to interact with a workpiece. The machining tool also has one or more distribution passages located within the insert. The one or more distribution passages are situated and sized to direct a fluid to the one or more interface surfaces while maintaining the fluid above a pressure at which the fluid exists in a supercritical state.