A cutting apparatus includes a management unit having a measuring unit for measuring an amount of light emitted from a light emitter and received by a light receiver while a cutting blade is positioned between the light emitter and the light receiver, a measured waveform forming section for forming a measured waveform representing the configuration of an outer circumferential region of the cutting blade, and an ideal waveform recognizing section for recognizing one of the comparative waveforms that has the greatest number of waveform regions similar to the measured waveform as an ideal waveform, a difference calculating section for calculating the area of a region where there is a difference between the measured waveform and the ideal waveform.

Provided is a servo controller that can prevent an unnecessary cut from being generated in a workpiece during oscillation machining. A servo controller 20 includes: an oscillation command generating unit 23 that generates an oscillation command for causing a workpiece W and a tool 11 to relatively oscillate; a position deviation estimating unit 31 that estimates an estimated position deviation from a moving command for causing the workpiece W and the tool 11 to relatively move; an adder that applies the oscillation command to a position deviation based on the moving command; a subtractor that deducts the estimated position deviation from a position deviation to which the oscillation command is applied; and a learning control unit that calculates a compensation amount from a position deviation based on the moving command after deducting the estimated position deviation.

Disclosed herein is a method of repairing a component. The method includes scanning a damaged area of the component, and preparing a repair plan in response to the scanning. The method may also include providing the repair plan to a guided tool having a position correcting controller, and removing damaged material from the component in preparation for a repair operation. An apparatus is also disclosed that includes a computing device configured for performing actions. The computing device includes a processor and a local memory. The actions include detecting damage to the component, recording position information of the detected damage, and incorporating the position information in the repair plan.

A system (100) for cutting work product (104) into portions (P) and unloading the portions includes a conveyance system (102) for carrying the workpieces and portions, as well as a scanner (110) for scanning the work products. A cutter system (120) composed of cutter assemblies (122) carried by carrier systems (124) may be arranged in an array or series along the conveyance system for cutting, trimming, and portioning the work products (104) into end pieces (P) of desired sizes or other physical parameters. An unloading system (130) composed of one or more unloading assemblies/units/apparatus (132) are carried by the same carrier systems (124) used to carry the cutter assemblies (122) to pick up the portioned pieces (P) and either move them to a different location or replace the portioned workpieces back onto the conveyance system after the trim of the workpiece has been removed.

A system for aiding a user in at least one of welding, cutting, joining, and cladding operations is provided. The system includes a welding tool and a welding helmet with a face-mounted display. The system also includes a spatial tracker configured to track the welding helmet and the welding tool in 3-D space relative to an object to be worked on. A processor based subsystem is configured to generate visual cues based on information from the spatial tracker and transmit the visual cues to a predetermined location on the face-mounted display.

In some aspects, autonomous motion devices configured to operably connect to a plasma torch of a plasma cutting system can include: a body to support a power supply of the plasma cutting system and move relative to a workpiece; a torch holder connected to the body and configured to position a plasma arc torch tip of the plasma torch relative to a region of the workpiece to be processed; a drive system to translate the body supporting the power supply and torch autonomously relative to a surface of the workpiece during a plasma processing operation; and a processor in communication with the drive system and configured to communicate with the power supply, the processor being configured to control the translation of the body relative to the workpiece in accordance with the plasma processing operation.

A machine learning device performs machine learning with respect to a numerical control device that operates a machine tool on the basis of a machining program. The machine learning device includes a state information acquisition unit configured to acquire state information including conditions of a spindle speed, a feed rate, a number of cuts, and a cutting amount per one time or a tool compensation amount, and a cycle time of cutting a workpiece, and machining accuracy of the workpiece; an action information output unit configured to output action information including modification information of the condition; a reward output unit configured to output a reward value in reinforcement learning on the basis of the cycle time and the machining accuracy; and a value function updating unit configured to update an action value function on the basis of a reward value, the state information, and the action information.

A method implemented by a computer system, the computer-implemented method comprising receiving dimensions of a building surface, including a surface length and a surface height; receiving dimensions of a surface material unit, including a material length and a material height; receiving design parameters defining a three-dimensional design over the building surface; partitioning the three-dimensional design into a plurality of three-dimensional segments based on both the three-dimensional design and the dimensions of the surface material; and generating a set of milling instructions for cutting a plurality of surface material units into the plurality of three-dimensional segments.

A method for controlling a cutting machining process on a machine tool by a P-controller that changes a controlled variable u(t) affecting the cutting machining process based on a control deviation e(t) between a control quantity y(t) and a guide quantity w(t). To improve the control, the control factor (K) of the P-controller is variable and determined depending on instantaneous value of the control quantity y(t) via load characteristic fields. Each load characteristic field specifies a predetermined control factor for a defined value or value range of the control quantity y(t). Further disclosed is a control device for a cutting machine tool, a cutting machine tool, and a process for the cutting machining of a workpiece.

A numerical control system according to the present invention controls machine drive systems included in a machine tool that performs machining using a tool, according to a numerical control program, and includes a coordinate transformation unit that acquires a disturbance force or a disturbance torque applied to each machine drive system, and coordinate-transforms the disturbance force or the disturbance torque into a tool reference coordinate system for output, and an identification unit that calculates cutting process parameters that determine characteristics of a cutting process model and dynamic characteristic parameters that determine characteristics of a dynamics model of the machine tool, using the disturbance force or the disturbance torque output from the coordinate transformation unit, states of the machine drive systems, predetermined equation models, and cutting conditions. The equation models define relationships between the cutting process parameters, the dynamic characteristic parameters, and the disturbance force or the disturbance torque.