A method of polishing a surface of an object disposed within a gas chamber is provided. The method includes filling the gas chamber with a discharging medium to a predefined pressure, applying a voltage between an electrode and the surface, calibrating a height of the electrode relative to the surface so as to establish electrical breakdown threshold criteria, and scanning the electrode with respect to the surface so as to sequentially position the electrode over a plurality of locations on the surface, each location characterized by a surface error. When a respective location in the plurality of locations has a surface error that meets the electrical breakdown threshold criteria, electrical breakdown occurs, whereby the electrical breakdown results in a discharging pulse that polishes the surface.

A method for forming a heat exchanger plate includes providing a precursor having a body with a first face and a second face opposite the first face and at least one internal passageway; and pluralities of first and second fin precursors respectively protruding from the first and second faces. First and second fin height profiles are formed by removing material from the respective fin precursors via wire electro-discharge machining.

The present invention is directed to a current feeding device for the supply of electrical current to a wire electrode traveling in an electro-erosion machine during the machining operation. The current feeding device comprising: a rotary electrically conductive body which is in contact with the wire electrode; at least one bearing for supporting the rotary electrically conductive body at one side; and a brush for electrically contacting the rotary electrically conductive body and for supporting the rotary electrically conductive body at the other side of the body and opposite side to the bearing. The brush is at the rotary axis of the rotary electrically conductive body.

A sear mechanism for a firearm includes a trigger element having one or more contact surfaces on which one or more movable or pivotable components of the sear mechanism selectively contacts or slides. In some embodiments, the trigger element is made by producing an intermediate workpiece of the trigger element by a manufacturing process, and electric discharge machining the intermediate workpiece of the trigger element to provide the contact surfaces.

A sear mechanism for a firearm includes a trigger element having one or more contact surfaces on which one or more movable or pivotable components of the sear mechanism selectively contacts or slides. In some embodiments, the trigger element is made by producing an intermediate workpiece of the trigger element by a manufacturing process, and electric discharge machining the intermediate workpiece of the trigger element to provide the contact surfaces.

A method of manufacturing burr-edged reflecting tile elements for a mosaic X-ray lens configured for forming an X-ray beam comprises steps of: (a) providing a single crystal having first and second faces thereof being parallel therebetween; single crystal having crystallographic planes thereof being parallel to first and second faces of the single crystal; the first face dedicated for reflecting an X-ray beam to be incident thereto; (b) cutting the single crystal by means of a wire electrical discharging machine normally to the main faces. The step of cutting the single crystal comprises moving a wire within a cut in direction from the second face to the first face; such that burrs configured for reflecting the X-ray beam to be incident thereto are formed on edges of the cut.

A machine learning device, performing machine learning for adjusting a position and a length of a welding part when a core is welded to a workpiece in a wire electric discharge machine, acquires the position and the length of the welding part as state data; sets reward conditions; calculates a reward based on the state data and the reward conditions; performs the machine learning of the adjustment; determines and outputs an adjustment target and its adjustment amounts based on the state data and a result of the machine learning; performs the machine learning of the adjustment based on the output adjustment action, the state data acquired based on the recalculated position and the recalculated length of the welding part, and the reward based on the state data; and outputs an optimum position of the welding part, the reward conditions being set as a positive or negative reward.

A machine learning device, performing machine learning for adjusting a position and a length of a welding part when a core is welded to a workpiece in a wire electric discharge machine, acquires the position and the length of the welding part as state data; sets reward conditions; calculates a reward based on the state data and the reward conditions; performs the machine learning of the adjustment; determines and outputs an adjustment target and its adjustment amounts based on the state data and a result of the machine learning; performs the machine learning of the adjustment based on the output adjustment action, the state data acquired based on the recalculated position and the recalculated length of the welding part, and the reward based on the state data; and outputs an optimum position of the welding part, the reward conditions being set as a positive or negative reward.

A simulation apparatus of a wire electric discharge machine that performs machining to cut out a core from a workpiece calculates a position and a length of a welding part used to weld the core to the workpiece, calculates an evaluation value of the position and the length, and performs machine learning of the adjustment of the position and the length. In the machine learning, the position and the length of the welding part and the evaluation value are acquired as state data, a reward is calculated based on the state data and calculated reward conditions, and the machine learning of the adjustment of the position and the length of the welding part is performed using the calculated reward.

A simulation apparatus of a wire electric discharge machine that performs machining to cut out a core from a workpiece calculates a position and a length of a welding part used to weld the core to the workpiece, calculates an evaluation value of the position and the length, and performs machine learning of the adjustment of the position and the length. In the machine learning, the position and the length of the welding part and the evaluation value are acquired as state data, a reward is calculated based on the state data and calculated reward conditions, and the machine learning of the adjustment of the position and the length of the welding part is performed using the calculated reward.