A method for preparing a cross-dimension micro-nano structure array includes: S1. providing a workpiece immersed in the electrolyte as the first electrode, providing a trimming wire electrode as the second electrode and setting it above the workpiece, providing an interference beam adjuster and outputting multi-beam laser interference to irradiate the surface of the workpiece; S2. The power supply between the first electrode and the second electrode forms a loop, and drives the trimming wire electrode to reciprocate relative to the workpiece, and the workpiece undergoes electrochemical dissolution or electrochemical deposition at the corresponding position of the trimming wire electrode, and form a micro-nano structure array without a mask, and solves the problem of low output power of the existing ultrashort pulse power supply, improves the processing accuracy of the micro-nano structure array, does not require electrolyte for high-speed flow, and improves system safety and reduce the cost.

A method for preparing a cross-dimension micro-nano structure array includes: S1. providing a workpiece immersed in the electrolyte as the first electrode, providing a trimming wire electrode as the second electrode and setting it above the workpiece, providing an interference beam adjuster and outputting multi-beam laser interference to irradiate the surface of the workpiece; S2. The power supply between the first electrode and the second electrode forms a loop, and drives the trimming wire electrode to reciprocate relative to the workpiece, and the workpiece undergoes electrochemical dissolution or electrochemical deposition at the corresponding position of the trimming wire electrode, and form a micro-nano structure array without a mask, and solves the problem of low output power of the existing ultrashort pulse power supply, improves the processing accuracy of the micro-nano structure array, does not require electrolyte for high-speed flow, and improves system safety and reduce the cost.

This disclosure provides a system, method, and resulting workpiece combining liquid guided laser and electrical discharge machining to create a common feature. The workpiece is positioned in a liquid guided laser cutting path and machined by the liquid guided laser device to create an intermediate feature in the workpiece. The work piece is then positioned in an electrical discharge machining (EDM) device so that an electrode of the EDM device is operatively positioned proximate the intermediate feature and machined using the EDM device to modify the intermediate feature in the workpiece to create the finished common feature in the workpiece.

This disclosure provides a system, method, and resulting workpiece combining liquid guided laser and electrical discharge machining to create a common feature. The workpiece is positioned in a liquid guided laser cutting path and machined by the liquid guided laser device to create an intermediate feature in the workpiece. The work piece is then positioned in an electrical discharge machining (EDM) device so that an electrode of the EDM device is operatively positioned proximate the intermediate feature and machined using the EDM device to modify the intermediate feature in the workpiece to create the finished common feature in the workpiece.

This disclosure provides a system, method, and resulting workpiece combining liquid guided laser and electrical discharge machining to create a common feature. The workpiece is positioned in a liquid guided laser cutting path and machined by the liquid guided laser device to create an intermediate feature in the workpiece. The work piece is then positioned in an electrical discharge machining (EDM) device so that an electrode of the EDM device is operatively positioned proximate the intermediate feature and machined using the EDM device to modify the intermediate feature in the workpiece to create the finished common feature in the workpiece.

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 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 method of micro machining a workpiece; a micro machining apparatus and a micro machined workpiece. The method includes the steps of laser cutting a test bore in a test piece using a laser beam; measuring the test bore using either a measurement probe or an electrode; correlating the electrode to the laser beam; laser ablating the surface the workpiece in a first region; and electrical discharge machining the workpiece in the first region to produce at least one bore in the workpiece. The workpiece has a surface coating and at least one bore, wherein the bore passes through the surface coating with a diameter that is within 0.3 mm of the diameter of the bore in the remainder of the workpiece.