Patent classifications
G05B19/182
Machine tool
A machine tool includes a spindle headstock having a main spindle, a spindle headstock having a main spindle with a Z3 axis parallel to an axis center direction of the main spindle, a turret that moves relative to the spindle headstocks, and a controller that superposition-controls the spindle headstock with movement of the turret as a standard, wherein the turret is movable in directions of an X axis and a Ys axis that are orthogonal to a Z axis and intersect with the Z axis at an angle except for the right angle, and the controller moves the turret in a direction of a Y axis different from the Ys axis and the X axis by combining movement in the direction of the Ys axis and movement in the direction of the Y axis, and regulates, in the superposition control, the movement of the spindle headstock in the X axis direction associated with the movement in the Y axis direction.
Three-Dimensional Shaping Apparatus And Control Method For Three-Dimensional Shaping Apparatus
A three-dimensional shaping apparatus includes a melting section providing a shaping material to a channel, a nozzle ejecting the shaping material to a shaping region of a shaping table, an ejection-amount adjusting mechanism adjusting an amount of the shaping material from the nozzle, a suction member sucking the shaping material in the channel, a memory configured to store a program, and a processor configured to execute the program so as to control the three-dimensional shaping apparatus. The processor is configured to stop the ejection of the shaping material and, thereafter, prior to resumption of the ejection of the shaping material, execute material purge processing for discharging the shaping material remaining in the melting section to a region different from the shaping region. The suction member is located closer to the nozzle than the ejection-amount adjusting mechanism in the first channel.
SCREW FASTENING SYSTEM AND SCREW FASTENING DEVICE
A nut runner, an attachment unit, and a sliding member are provided in a second arm that is a leading arm of the robot and has a leading end shaft movable along the direction of an elevation axis. The nut runner includes a screw fastening driver, a drive shaft rotationally driven by the screw fastening driver, and an extension bar that is so connected to rotate together with the drive shaft in the circumferential direction and to move in the axial direction. The attachment unit fixedly connects the screw fastening driver to the second arm so that a screw fastening axis parallel to the elevation axis serves as a rotation axis of the screw fastening driver. The sliding member is connected to the leading end shaft and supports the extension bar so as to move together in the axial direction and are rotatable relatively in the circumferential direction.
CONTROLLER FOR MACHINE TOOL
To provide a controller for a machine tool that can shred shavings in a sure manner, even if a delay in notification occurs at the time of performing oscillation cutting. This controller of machine tools controls the machine tools that perform cutting working of a work by a cutting tool with a spindle and a feed axis operating cooperatively. The controller includes: an oscillation command calculating unit that calculates an oscillation command to cause relative oscillation of the cutting tool and the work, from a rotation speed of the spindle and a positional command of the cutting tool as to the work; a correction amount calculating unit that calculates a correction amount corresponding to an amount of delay notification to the oscillation command calculating unit regarding the rotation speed of the spindle; and a correction amount superimposing unit that superimposes the correction amount on the oscillation command.
Welding apparatus and welding method
An example welding apparatus includes a welding power source configured to output current between a consumable electrode and a workpiece; a feeding apparatus configured to move the consumable electrode toward the workpiece; and circuitry. The circuitry is configured to: control the welding power source to repeat a sequence including: outputting a positive peak current from the workpiece to the consumable electrode during a positive peak period; outputting a first base current between the consumable electrode and the workpiece during a first base period following the positive peak period, an absolute value of the first base current being less than the positive peak current; and outputting a negative peak current from the consumable electrode to the workpiece during a negative peak period following the first base period, an absolute value of the negative peak current being greater than the absolute value of the first base current. The circuitry is further configured to control the feeding apparatus to move the consumable electrode close to the workpiece so as to temporarily short circuit the consumable electrode and the workpiece during the first base period.
Control device for and method of operating a metal clad cable cutting machine
A control device according to some embodiments of the disclosure includes one or more motors directed by the control device to form whip(s) from a length of a cable by causing the cutting of the cable in accordance with specifications based at least in part on whip information. An interface communicates the whip information between the control device and a user device.
Wire disconnection prediction device
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.
Dimple Processing Method
In a dimple processing method for forming dimples on a curved surface of a workpiece, a cutting tool having a cutting edge on a rod-shaped body is rotated about a central axis of the cutting tool. The workpiece is rotated about a first axis. The cutting tool or the workpiece moves on a virtual plane through which the first axis passes or on a plane parallel to the virtual plane. The cutting tool or the workpiece moves such that the tip end of the cutting tool follows the curved surface of the workpiece. The cutting edge forms one or more dimple on the curved surface each time the cutting tool rotates.
REAL TIME DETECTION AND REACTION TO ANOMALIES IN THREADED CONNECTION MAKE-UP
A method of making-up a threaded connection can include rotating a tubular, measuring torque applied to the tubular during the rotating, thereby generating data including measured torque values, detecting an anomalous occurrence in the data during the rotating, and ceasing application of the torque to the tubular in response to detection of the anomalous occurrence. A threaded connection make-up system can include a rotary clamp to apply torque to a tubular, a torque sensor to produce measurements of the applied torque, and a control system including a neural network, an artificial intelligence device, machine learning and/or genetic algorithms trained to detect an anomalous occurrence in data input to the control system. The data may include the applied torque and turns of the tubular as measured by a turn sensor.
Life expectancy prediction system for a tool
A life expectancy prediction system for a target tool includes a processing machine body, a detector to detect a state data, a learned model storage unit to store learned models generated by executing machine learning using training datasets, including an explanatory variable and an objective variable, the explanatory variable being the state data and the objective variable being a number of first remaining machining times, the learned model storage unit being to store the learned models, each for each of the tools and a remaining machining times prediction unit to select, based on the state data, one learned model and predict a number of second remaining machining times, using the one learned model and the state data.