At least one coordinate value (z1, z2, α1, α2) of a cutting body (35) can be acquired by means of an acquisition device (27) and transferred to the control device (25). This at least one coordinate value (z1, z2, α1, α2) of each cutting body (35) can be used for the rest of the method in the control device (25). This at least one coordinate value (z1, z2, α1, α2) which is determined on the basis of the at least one image (B) can be directly taken into account during the processing of the rotational tool (13). Alternatively or additionally, this at least one coordinate value (z1, z2, α1, α2) which is determined on the basis of the at least one image (B) can be used to determine at least one further coordinate value, in particular using a sensing device (29).

Embodiments of present disclosure relate to adjusting a robot motion path. In the method for adjusting a robot motion path, a first processing procedure may be performed on a first workpiece to obtain a first product. Then, first process data may be obtained, where the first process data describes an attribute of the first processing procedure for obtaining the first product from the first workpiece. Next, based on the obtained first process data, a robot motion path of a second processing procedure that is to be performed on the first product by a robot may be adjusted. Further, embodiments of present disclosure provide apparatuses, systems, and computer readable media for adjusting a robot motion path.

Embodiments of present disclosure relate to adjusting a robot motion path. In the method for adjusting a robot motion path, a first processing procedure may be performed on a first workpiece to obtain a first product. Then, first process data may be obtained, where the first process data describes an attribute of the first processing procedure for obtaining the first product from the first workpiece. Next, based on the obtained first process data, a robot motion path of a second processing procedure that is to be performed on the first product by a robot may be adjusted. Further, embodiments of present disclosure provide apparatuses, systems, and computer readable media for adjusting a robot motion path.

A learned model is generated which accurately outputs power consumption by running a newly created machining program without performing simulation, and the learned model is utilized to accurately predict the power consumption. A machine learning device includes an input data acquisition unit that, in machining a workpiece with an arbitrary machine tool by running an arbitrary machining program, acquires, as input data, information relating to the machine tool, an auxiliary operation device, and the workpiece, and machining information including the machining program. A label acquisition unit acquires label data indicating power consumption information relating to the machine tool and the auxiliary operation device in the running of the machining program. A learning unit performs supervised learning using the input and label data, and generates a learned model that inputs machining information of machining to be performed and outputs the power consumption information in the machining to be performed.

The present disclosure provides a numerical control machine and a cutting method. The numerical control machine includes a workpiece seat for fixing a workpiece, a cutting tool, a non-contact measurement component for measuring a contour of a surface to be machined of the workpiece, a power component and a control component. The workpiece seat is rotatable relative to the cutting tool or the non-contact measurement component under driving of the power component, and/or the cutting tool is rotatable relative to the workpiece seat under the driving of the power component. Both the cutting tool and the non-contact measurement component are mounted on the numerical control machine, and distances from the workpiece seat to both is adjustable. The control component is electrically connected with the non-contact measurement component and the power component.

A method for the machining of workpieces that have an unknown workpiece geometry with a tooling machine, said method having the steps of clamping of the workpiece in a clamping device on the tooling machine, execution of a manually guided 3D line scan with a measurement sensor within the tooling machine to determine the workpiece geometry in a first dataset, processing of the first dataset to compensate for errors in the manually guided 3D line scan in order to obtain a second dataset, use of the second dataset for 3D CAD surface generation by the tooling machine for the generation of a rough component geometry, use of the rough component geometry for the generation of scan paths for an automatic 3D line scan, execution of an automatic 3D line scan of the workpiece with the measurement sensor within the tooling machine in order to obtain a third dataset, use of the third dataset for 3D CAD surface generation for the generation of a precise component geometry, and automated machining of the workpiece by the tooling machine based on the precise component geometry, and a tooling machine for the execution of the method are provided.

A method for controlling a power tool includes ascertaining a workpiece characteristic of the workpiece to be processed from previously acquired measured values, determining the workpiece material from the workpiece characteristic of the workpiece to be processed, specifying initial values, which are suitable for processing the workpiece made of the determined workpiece material using the power tool, for machine parameters such as feed, speed, and torque, storing the initial values for putting the power tool into operation with machine parameters set to the initial values and/or putting the power tool into operation with machine parameters set to the initial values. A cooling constant is ascertained according to the Newtonian cooling law as the workpiece characteristic of the workpiece to be processed. To ascertain the cooling constant, the ambient temperature is measured, the workpiece is heated, and the actual temperature of the workpiece is measured, whereupon the cooling constant is computed.

A drilling method is provided allowing drilling in confined spaces with less effort. Two independent data sources are used for reducing tolerances between the component to be joined to the workpiece. The component is measured at the supplier using photogrammetry or laser scanning. First geometric data of the component obtained by this measurement are put in a data storage, such as a barcode tag or database. At the manufacturer, the first geometric data are used to position the component relative to the workpiece. Subsequently, the component is measured to obtain second geometric data indicative of the positions and diameters of the component joining holes. After determining a deviation between the first and second geometric data to be smaller than a predetermined threshold, the automatic drill is positioned at the correct drilling location and joining holes are drilled into the workpiece. Finally, the component and the workpiece are joined by fasteners.

A method for measuring a workpiece by a measurement device includes capturing an identification feature of a workpiece by a capture device, determining an item of identity information relating to the workpiece, comparing the identity information with identity information relating to a plurality of workpieces from a database which stores the identity information relating to the plurality of workpieces, identifying the workpiece in the database, and/or characterizing the workpiece from the comparison with the database, determining a measurement sequence stored in the database for the identified workpiece, or suggesting features or steps of a measurement sequence for the identified workpiece, and measuring the workpiece in accordance with the measurement sequence in the measurement device.

In one aspect, the present invention relates to a contour checking device for calculating path deviations from a target path of a cutting head of a laser machine tool. The contour checking device comprises a reference texture interface for reading a reference texture along the target path, which is defined in particular for cutting a contour, a controller, which is intended for controlling the laser machine tool in such a way that the cutting head traverses the target path; at least one camera, wherein the controller for controlling the at least one camera is intended for continuously capturing overlapping frames of the reference texture along the traversed path; a processor, which is intended for executing an image processing algorithm for reconstructing the trajectory traversed by the cutting head from the captured overlapping frames of the reference texture; and wherein the processor is intended for calculating deviations between the reconstruction of the path traversed by the cutting head and the target path. The contour checking device also comprises an output interface, which is intended for outputting the calculated deviations.