A method for aligning a strip of labels, which contains a plurality of labels, relative to a cutting device, wherein the strip of labels is cut into labels by the cutting device that are subsequently applied to containers. In a learning mode, the strip of labels is automatically transported by a transport device and the position of the strip of labels relative to the cutting device is detected by a position sensor disposed as a first camera, and, in an aligning mode, an operator can then enter a desired cutting parameter in a machine control unit of an input unit. Information indicated of the desired cutting parameter relative to the strip of labels is then displayed to the operator on a screen, and the machine control unit controls the cutting device on the basis of the desired cutting parameter.

Disclosed herein is a method for transforming cutting data for configuring a cutting machine for a cutting process. The method comprises a computing device: obtaining first cutting data that comprises patterns and an associated multiplicity of each pattern, wherein the multiplicity of a pattern is the number of times the pattern is repeatedly used in a cutting process; and transforming the first cutting data into second cutting data, wherein the number of patterns comprised by the second cutting data is less than the number of patterns comprised by the first cutting data; wherein each pattern comprises a plurality of items and the widths of the items in a pattern define knife positions of a cutting machine during a cutting process; and transforming the first cutting data into second cutting data comprises the steps of: determining a subset of patterns; searching for a new seed pattern, wherein the new seed pattern comprises items within the subset of patterns and the new seed pattern has a larger multiplicity than at least one of the patterns in the subset of patterns; searching, in response to finding a new seed pattern, for a plurality of further patterns comprising all of the items of the subset other than those used by the new seed pattern such that said new seed pattern and said further patterns consist of all of the items of the subset of patterns and the total number of patterns comprised by said new seed pattern and said further patterns is less than the total number of patterns in the subset of patterns; and generating second cutting data that comprises said new seed pattern and said further patterns as well as the patterns that were not included in the subset of patterns. Advantageously, applying the transformation according to embodiments reduces the number of patterns in the cutting data and thereby increases the efficiency of a cutting operation.

A numerical controller calculates a machining path based on a lathe turning cycle instruction and the settings of a machining path and machining conditions of the lathe turning cycle instruction. An evaluation value used to evaluate cycle time required for machining a workpiece performed according to the calculated machining path and the machining quality of the machined workpiece is calculated to perform machine learning of adjustment of the machining path and the machining conditions. By the machine learning, a machining path based on a complex lathe turning cycle instruction is optimized.

Disclosed is a method and apparatus for machining a workpiece (2). The method comprises specifying a path along which a cutting tool (6) is moved during machining the workpiece (2), the path comprising segments (26); defining, for each segment (26), an exit point on that segment (26); defining, for each segment (26), an exit path (38) from the exit point of that segment (26) to a point remote from the workpiece (2); performing a machining process including moving the cutting tool (6) along the tool path and machining the workpiece (2); and, during the machining process, when one or more criteria are satisfied: interrupting the machining process and, without machining the workpiece (2), moving the cutting tool (6) to the exit point of the current segment (26) and then along the exit path (38) of the current segment (26).

A precut module with one or more profiling heads and/or circular saws may be provided upstream of a saw module. The precut module may be used to implement a portion of a cut that would otherwise be made by the saw module, thereby reducing the depth of cut required at the saw module. In some embodiments, profiling heads may be used to profile a block that is wider than a desired side board. The block may be cut from the workpiece and sent to the edger. This may provide the same or better wood volume recovery and/or throughput speed than profiling the side board or cutting the side board from a flitch. In some embodiments, cut patterns for the precut module and other machine centers may be calculated and/or selected based on a desired depth of cut at the saw module, desired throughput speed, wood volume recovery, and/or other parameters.

A remote cutting system includes a cutting device and a control device. The cutting device includes a control unit, a wireless communication unit, a drive unit and a knife. The control device includes a processor, an accelerometer, a first button, a second button and a wireless connect unit. The accelerometer is connected with the processor for recording a move information. When the first button or the second button is pressed, a move command or a cutting command is generated according to the move information by the processor. A wireless connection is established between the wireless connect unit and the wireless communication unit for transmitting the move command or the cutting command, and then the drive unit is controlled by the control unit to drive the knife, so that the knife is driven to move or cut. Therefore, the manufacturing cost is reduced, and simultaneously the convenience is enhanced.

This disclosure concerns a method for selecting a tool-path strategy in a material processing operation. The geometry of a work piece (34) and the contact patch (36) of a tool are determined and used to define a tool-path boundary (30,32). A number of different possible tool-paths (38,40,46) are then simulated within the tool-path boundary (30) and the most preferred tool-path (38,40,46) is selected based on predefined requirements.

Technology for milling selected portions of a workpiece by a cutting tool of a numerical control machine is described. The described technology provides methods and apparatuses for milling areas of a part so that more aggressive machining parameters can be used in the toolpath, thereby resulting in reduced machining time and load. The technology creates a series of toolpath contours where arcs in the toolpath contours are non-concentric with arcs in other toolpath contours. The selected portions of the workpiece are milled by moving the cutting tool in accordance with the toolpath.

Disclosed is a method and apparatus for machining a workpiece (2). The method comprises specifying a path along which a cutting tool (6) is moved during machining the workpiece (2), the path comprising segments (26); defining, for each segment (26), an exit point on that segment (26); defining, for each segment (26), an exit path (38) from the exit point of that segment (26) to a point remote from the workpiece (2); performing a machining process including moving the cutting tool (6) along the tool path and machining the workpiece (2); and, during the machining process, when one or more criteria are satisfied: interrupting the machining process and, without machining the workpiece (2), moving the cutting tool (6) to the exit point of the current segment (26) and then along the exit path (38) of the current segment (26).

Disclosed herein is a method for transforming cutting data for configuring a cutting machine for a cutting process. The method comprises a computing device: obtaining first cutting data that comprises patterns and an associated multiplicity of each pattern, wherein the multiplicity of a pattern is the number of times the pattern is repeatedly used in a cutting process; and transforming the first cutting data into second cutting data, wherein the number of patterns comprised by the second cutting data is less than the number of patterns comprised by the first cutting data; wherein each pattern comprises a plurality of items and the widths of the items in a pattern define knife positions of a cutting machine during a cutting process; and transforming the first cutting data into second cutting data comprises the steps of: determining a subset of patterns; searching for a new seed pattern, wherein the new seed pattern comprises items within the subset of patterns and the new seed pattern has a larger multiplicity than at least one of the patterns in the subset of patterns; searching, in response to finding a new seed pattern, for a plurality of further patterns comprising all of the items of the subset other than those used by the new seed pattern such that said new seed pattern and said further patterns consist of all of the items of the subset of patterns and the total number of patterns comprised by said new seed pattern and said further patterns is less than the total number of patterns in the subset of patterns; and generating second cutting data that comprises said new seed pattern and said further patterns as well as the patterns that were not included in the subset of patterns. Advantageously, applying the transformation according to embodiments reduces the number of patterns in the cutting data and thereby increases the efficiency of a cutting operation.