A CNC machining device (1) comprises a control console (3) and a CNC machine (5). A training assembly (33) for training operation of the CNC machining device includes a training control console (35) substantially identical to the control console (3) of the CNC machining device (1); a digital twin (36) of the CNC machine (5), comprising a simulator (37) configured to simulate the effect of commands from the training control console (35) on the CNC machine (5); and a display device (39) configured for a trainee to view the current state of the simulator (37).

A numerical controller is provided with a control unit configured to control a machine tool and acquire feedback data in relative positions of a tool and a workpiece, a machining simulation unit configured to perform simulation processing for machining based on a machining program and create the shape of the machined workpiece, and a display unit configured to display the machined workpiece shape created by the machining simulation unit. The machining simulation unit performs machining simulation processing using the feedback data acquired by the control unit, in place of relative movement paths for the tool and the workpiece based on a command by the machining program.

A machine tool is provided with a main shaft configured to have a tool fitted to a distal end portion thereof, a tool magazine for holding a plurality of tools, a tool exchanging arm for exchanging tools between the tool magazine and the rotary main shaft, and a table for attaching a workpiece, wherein the machine tool machines the workpiece by causing the main shaft and the table to move relative to one another in accordance with a machining program, and wherein the machine tool: is provided with an image capturing device for capturing an image of the tool fitted to a tool holder, and an interference checking device which uses the machining program, and shape data relating to the workpiece, the tool, and the machine tool to simulate machining before machining is carried out, to check for the presence or absence of interference between at least the tool and the workpiece; and acquires the shape data relating to the tool from the interference checking device, generates a two-dimensional tool model from the acquired shape data relating to the tool, compares the two-dimensional tool model with an image of the tool captured by the image capturing device, and determines that the tool is invalid if an amount of displacement between the two-dimensional tool model and the image data is equal to or greater than a prescribed threshold.

A system for generating a G-code for controlling an operation of a laser-cutting machine to cut parts from a sheet of material, upon receiving cutting data specifying a cutting order of parts and a cutting order of edges of each part, tests the parts for potential distortions and generates a G-code to avoid the potential distortion. For testing a current part, the system detects a potential distortion when the final edge of the current part is adjacent to an edge of a previously cut part scheduled for cutting before the current part according to the cutting order of parts. The system modifies the cutting order to select the modified cutting order for which the final edge is not adjacent to any edge of any previously cut part.

The invention describes a robot (5) and/or robot controller (17) and a method for validation of programmed workflow sequences or teaching programs (20) of a robot (5) preferably with a robot controller (17), wherein the robot (5) is preferably mounted on or next to a processing machine, in particular an injection molding machine (4), and serves for the extraction, handling, manipulation or further processing of injection-molded parts (3) which have just been produced. The travel parameters, equipment features and functionalities of the physical robot (5) are stored in a configuration file (27) on the control side. The robot controller (17) creates a virtual robot model (21) from these stored data. For validation of a workflow sequence, the robot controller (17) uses the current teaching program (20) in the robot controller (17) whereby the visualization of the workflow sequence is displayed directly on an output unit of the robot controller (17).

A method of optimizing a machining simulation condition includes a step of receiving a setting condition of a machine tool at the time of performing a prescribed machining detail, a step of calculating a first machining result that is a machining result assumed when the machine tool performs machining under the received setting condition, a step of acquiring a second machining result that is a machining result when the machine tool performs machining under the received setting condition, and a step of evaluating a degree of coincidence between the first machining result and the second machining result, and repeatedly performs the calculation of the first machining result while changing the precondition of the calculation until the degree of coincidence is equal to or more than a prescribed threshold value.

A numerical controller is provided with a control unit configured to control a machine tool and acquire feedback data in relative positions of a tool and a workpiece, a machining simulation unit configured to perform simulation processing for machining based on a machining program and create the shape of the machined workpiece, and a display unit configured to display the machined workpiece shape created by the machining simulation unit. The machining simulation unit performs machining simulation processing using the feedback data acquired by the control unit, in place of relative movement paths for the tool and the workpiece based on a command by the machining program.

A control parameter is adjusted without the need to operate a driver of a control target. A control device (10) includes a model identification unit (12), a parameter determination unit (132), a data evaluation unit (131) and an operation data calculation unit (133). The model identification unit (12) identifies a physical model of an operation of the control target. The operation data calculation unit (133) calculates operation data by using the physical model and the control parameter. The data evaluation unit (131) calculates an evaluation value by using normative data of the operation of the control target and the operation data. The parameter determination unit (132) determines the control parameter by using the evaluation value.

A system for generating a G-code for controlling an operation of a laser-cutting machine to cut parts from a sheet of material, upon receiving cutting data specifying a cutting order of parts and a cutting order of edges of each part, tests the parts for potential distortions and generates a G-code to avoid the potential distortion. For testing a current part, the system detects a potential distortion when the final edge of the current part is adjacent to an edge of a previously cut part scheduled for cutting before the current part according to the cutting order of parts. The system modifies the cutting order to select the modified cutting order for which the final edge is not adjacent to any edge of any previously cut part.

A CNC machining device (1) comprises a control console (3) and a CNC machine (5). A training assembly (33) for training operation of the CNC machining device includes a training control console (35) substantially identical to the control console (3) of the CNC machining device (1); a digital twin (36) of the CNC machine (5), comprising a simulator (37) configured to simulate the effect of commands from the training control console (35) on the CNC machine (5); and a display device (39) configured for a trainee to view the current state of the simulator (37).