A tool for validating a wire-electric-discharge-machining (wEDM) operation to be performed using a wEDM machine comprises a body including an engagement feature shaped to removably hold a validation coupon to be machined in the wEDM operation, the validation coupon sized larger than a size of a cut-out to be made in a part using the wEDM machine. A method of manufacturing the tool and a wEDM machine assembly are also provided.

A wire electrical discharge machine for performing electrical discharge machining on a workpiece by applying voltage to a discharge gap between a wire electrode and the workpiece to generate electrical discharge while causing the wire electrode and the workpiece to move relative to each other, includes: an electrical discharge machining control unit for performing electrical discharge machining by applying voltage to the discharge gap while moving the wire electrode relative to the workpiece according to a machining program and a machining condition; an approach section identifying unit for identifying an approach section in a machining path for the wire electrode with respect to the workpiece, based on the machining program; and an adjustment unit for adjusting the machining condition based on a preset adjustment ratio. In this machine, the electrical discharge machining control unit performs electrical discharge machining control in the approach section, using the adjusted machining condition.

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 method for the monitoring of a wire electrical discharge machining (WEDM) process, the method comprising the steps of: setting a unit observation length for the signal acquisition, continuously acquiring at least one process signal which is representative of an amount of material removed by at least one discharge and the position (X;Y) of said at least one discharge, and determining, based on said at least one process signal and one or more properties of a current machining, a cumulated amount of material removed per unit observation length along a machining path, including amounts of material removed by travelling in a forward cutting direction and amounts of material removed by travelling in a reverse cutting direction.

A wire disconnection prediction device includes: a data acquisition part configured to acquire data relating to machining of a workpiece in a state where a wire is not disconnected during machining of the workpiece by a wire electric discharge machine; a preprocessing part configured to create, machining condition data of a condition relating to a machining condition commanded in machining of the workpiece, machining member data relating to a member used in the machining, and machining state data during machining of the workpiece, as state data indicating a state of the machining; and a learning part configured to generate, based on the state data created by the preprocessing part, a learning model indicating correlation between the state data and the state where the wire of the wire electric discharge machine is not disconnected.

A thermal displacement compensator measures a temperature of an environment in which a machine is installed and a temperature of each part of the machine, and calculates a temperature difference between at least two temperatures among measured temperatures. Furthermore, the thermal displacement amount of the machine is acquired. Then, based on teacher data using the measured temperatures and the calculated temperature difference as input data and using the acquired thermal displacement amount as output data, a thermal displacement compensation model that estimates the output data from the input data is created by machine learning.

A wire electrical discharge machine includes: a determination unit that determines whether or not a first route and a second route, each including an approach path, a machining path and an escape path in this order, are set in this order as a movement route of a wire electrode; and a wire movement control unit that, when the first route and the second route are determined to be set in a machining program in this order as the movement route of the wire electrode, causes the wire electrode to transition from the machining path of the first route to the machining path of the second route without moving the wire electrode along the escape path of the first route and the approach path of the second route.

There is provided a wire electrical discharge machine that includes a temperature detection unit, an actual position correction amount calculation unit, a correction amount calculation unit, a correction amount adjustment unit, a position correction amount adjustment unit, and a corrective movement amount calculation unit. The actual position correction amount calculation unit calculates an actual position correction amount for an upper/lower guide section in accordance with reference position coordinates at a reference temperature and with actual position coordinates at a temperature different from the reference temperature. The correction amount calculation unit uses a prepared correction amount arithmetic expression. The correction amount adjustment unit calculates a correction amount adjustment value from the actual position correction amount and the position correction amount.

A machine learning apparatus includes: a state observation unit that observes a characteristic shape, an adopted plan, and a determination result as state variables, the characteristic shape representing a shape of a part of a product of wire electric discharge machining, adjustment of machining conditions being deemed as necessary for the part of the product, the adopted plan being an adjustment method selected from among one or more adjustment methods for adjusting the machining conditions to improve machining performance for the part indicated by the characteristic shape, the determination result indicating whether implementation of the adopted plan is effective in improving machining performance for the part corresponding to the characteristic shape; and a learning unit that learns the machining condition adjustment method according to a data set created based on the state variables.

A machining program creating device for a wire electric discharge machine creates a machining program for machining a keyway on the side surface of a round hole in a workpiece, based on a previously specified diameter of the round hole, a center position of the round hole measured by bringing a wire electrode into contact with the workpiece, and a previously defined shape of the keyway.