A wire electrical discharge machine includes: a drive control unit for moving a wire electrode relative to a workpiece along a machining path; a path determination unit for determining whether or not the machining path includes a linear path section that crosses a boundary line between a thick portion and a thin portion of the workpiece; and a path compensator for compensating the machining path so as to form, in the thin portion, a protrusion projecting outward from the boundary line when the path determination unit determines that the linear path section is included.

A method is provided comprising identifying an alignment point of a workpiece; positioning a first end of an electrode in the direction of the alignment point of the workpiece; applying a first voltage to the electrode wherein the applied first voltage generates a spark; rotating the electrode in a first direction; advancing the electrode toward the alignment point by a first distance wherein advancing the electrode and applying the first voltage creates a first orifice section; applying a second voltage to the electrode and modifying one or more operational parameters of the electrode; advancing the electrode toward the alignment point by a second distance wherein advancing the electrode and applying the second voltage causes formation of at least a second orifice section; wherein the first and second orifice sections cooperate to form an orifice comprising a first flow area and a second flow area.

An electrical discharge machine which is less likely to be used in a high risk state. This electrical discharge machine is provided with an intra-setting modification display control unit that, when a risk level corresponding to a setting content directed by a user is higher than or equal to an alert-causing threshold value, displays an intra-setting modification alert-causing display, and a post-setting modification display control unit that, if the state in which the risk level is higher than or equal to the alert threshold value continues, displays a post-setting modification alert-causing display at predetermined time intervals.

To automatically change and set machining conditions suitable for a plate thickness even when machining paths of a rough machining step and an end surface finishing step are different in level difference machining in which the plate thickness changes during machining. In a wire electric discharge machining method and a wire electric discharge machining apparatus of the disclosure, an XY-plane of a workpiece stand is divided into small regions to form a plurality of divided regions, and a plate thickness of the workpiece is detected and stored in association with the divided regions. Thereafter, whether there is a level difference ahead of a traveling direction of a machining path is estimated according to plate thickness information associated with the divided regions and a plate thickness of the workpiece at a current machining position, and machining conditions are changed.

A wire electrical discharge machine acquires measured dimensions of a test workpiece that has been machined with a wire electrode inclined at a given angle with respect to a running direction in which the wire electrode runs; and calculates, based on the measured dimensions, first actual information indicating an actual holding position at which the wire electrode is actually held at a first die guide for guiding the wire electrode to a workpiece, and second actual information indicating an actual holding position at which the wire electrode is actually held at a second die guide for guiding the wire electrode sent from the workpiece, and, when necessary, the wire electrical discharge machine rewrites first information and second information stored in a storage unit to the calculated first actual information and second actual information.

Provided are a wire electric discharge machine, a correction device, and a correction method which accurately correct position information indicating the position of a supporting point of each of an upper guide and a lower guide. The correction device includes: a storage unit that stores the position information; an inclination control unit that causes a wire electrode to incline at a predetermined angle; a measurement unit that measures a relative movement amount from a state in which the lower guide and a measurement site are separated by a predetermined distance in a relative movement direction to a state in which the wire electrode inclined at the predetermined angle reaches the measurement site; and an information, correction unit that corrects the position information of the storage unit on the basis of the predetermined angle and the relative movement amount.

A method is provided comprising identifying an alignment point of a workpiece; positioning a first end of an electrode in the direction of the alignment point of the workpiece; applying a first voltage to the electrode wherein the applied first voltage generates a spark; rotating the electrode in a first direction; advancing the electrode toward the alignment point by a first distance wherein advancing the electrode and applying the first voltage creates a first orifice section; applying a second voltage to the electrode and modifying one or more operational parameters of the electrode; advancing the electrode toward the alignment point by a second distance wherein advancing the electrode and applying the second voltage causes formation of at least a second orifice section; wherein the first and second orifice sections cooperate to form an orifice comprising a first flow area and a second flow area.

A machining program editor that edits a machining program in which a machining path for a wire electrode of a wire electrical discharge machine is set, the machining program editor including: a path determination unit configured to determine whether or not the machining path includes a linear path section that crosses a boundary line between a thick portion of a workpiece and a thin portion of the workpiece, a thickness of the thin portion being smaller than a thickness of the thick portion in an extending direction of the wire electrode; and a path compensator configured to compensate the machining path so as to form, in the thin portion over a predetermined distance, a protrusion projecting outward from the boundary line when the path determination unit determines that the linear path section is included.

A wire disconnection prediction device includes: a data acquisition part configured to acquire data relating to machining of a workpiece during machining of the workpiece by a wire electric discharge machine; a preprocessing part configured to create, based on the data acquired by the data acquisition part, machining condition data, machining member data and machining state data, as state data indicating a state of the machining; and a machine learning device configured to execute, based on the state data created by the preprocessing part, processing relating to machine learning using a learning model indicating correlation between a machining state in the wire electric discharge machine and presence/absence of a possibility of disconnection occurrence of a wire electrode in the wire electric discharge machine and a disconnection cause by a plurality of class sets.

A machine learning device includes an input data acquisition unit which acquires input data containing a machining condition for any wire-cut electrical discharge machining applied to any workpiece by any wire-cut electrical discharge machining machine and consumables information including the degree of degradation of at least one of an electrode wire, ion exchange resin, a power supply die, and an electrode wire guide roller before wire-cut electrical discharge machining. The device also includes a label acquisition unit which acquires label data indicating the degree of degradation of at least one of the electrode wire, the ion exchange resin, the power supply die, and the electrode wire guide roller after the wire-cut electrical discharge machining under the machining condition contained in the input data, and a learning unit which uses the input data and the label data to execute supervised learning, thereby generating a learned model.