Methods, systems, and apparatus, including computer programs encoded on a computer storage medium that receives a set of requirements that are associated with a workpiece to be completed. A specification can be generated that specifies a set of components that are required to complete the workpiece. A particular subset of the component sources can be selected to source the set of components that are required to complete the workpiece using one or more machine learning-trained models. The set of sourced components can be obtained from component sources. A particular validation source can be selected to validate at least a portion of the sourced components of the set. At least a portion of the sourced components of the set can be validated. The completed workpiece can be generated using the set of sourced components including the validated portion of the sourced components and provided for output.

A control device of a machine tool includes a position controller and a model of a position-controlled axis. The position controller receives a position setpoint value, a corresponding actual position value and a compensation value; determines therefrom a resulting value; determines based on the resulting value an actuating signal; and outputs the actuating signal to the position-controlled axis. The position and/or the orientation of the tool relative to the workpiece are adjusted based on the actuating signal. A sequence of successive control errors is stored, in a storage device and read out sequentially in accordance with a sequence of the position setpoint values and supplied to the model. The model determines from the read-out control error a respective compensation value which is then supplied to the position controller, while simulating the mechanically dynamic behavior of the position-controlled axis.

A machine tool and a control device therefor, wherein vibration cutting of a workpiece is carried out by means of a tool and wherein, after the vibration cutting, finish-cutting is carried out for cutting a finishing allowance of the workpiece by means of the tool, without relative vibration between the workpiece and the tool, by relatively rotating the workpiece and the tool and relatively moving them in the feed direction. According to the invention, before the vibration cutting, a finishing allowance calculation means calculates a finishing allowance remaining on the workpiece after vibration cutting has been completed, and a determination means determines whether or not the finishing allowance as calculated by the finishing allowance calculation means is less than, or equal to a predetermined threshold value.

A method for controlling a cutting tool in a CNC machine and a device using the method receives contours of workpieces generated by a first measuring machine, inputs the first contour parameters into a calculation model to output first compensation values of the cutting tool, the calculation model being a time sequences model established according to contour sets of the workpieces, and the contour sets include at least one historical contour of the workpieces. The device further determines whether the first compensation values of the cutting tool are greater than, equal to or smaller than a preset value, and sends the first compensation values of the cutting tool to a machine.

A method includes generating a future state reflecting predicted values for a future time for a plurality of processing equipment for an industrial process run by an industrial process control and automation system (IPCS) configured to control the industrial process including at least one process controller coupled to input output (I/O) modules coupled to field devices including sensors and actuators that are coupled to processing equipment including the plurality of processing equipment. The method includes displaying in a human machine interface (HMI) associated with an operator computing system that is coupled to the process controller a dynamic time-based representation for each of the plurality of the processing equipment including beginning from a time beginning in the past including historical values, a value at a current time, and the predicted value at the future time.

In a method for operating a production machine or machine tool, an app having at least one virtual container and an app configuration is downloaded from a remote memory store into a memory store of the machine, and an immediate start of the downloaded app on the production machine or machine tool is automatically prevented. The app configuration of the downloaded app is then automatically modified, and identifiers included in the app configuration are automatically evaluated and compared with identifiers included in a positive list or in a positive list and a negative list. An identifier which is not contained in the positive list, or an identifier which is contained in neither the positive list nor in the negative list is automatically replaced with an automatically selected or automatically generated target expression; and the downloaded app following the modification of the app configuration is then automatically started.

A multi-axis control adjustment apparatus includes adjustment axis selection circuitry configured to select a plurality of target axes among a plurality of axes each of which represents a combination of a motor and a motor control device configured to control the motor according to a control parameter of the motor control device, adjustment operation execution circuitry configured to perform adjustment operations in each of which the control parameter is adjusted with respect to each of the plurality of target axes, and first control parameter setting circuitry configured to change, according to the adjustment operations, timing at which the control parameter is set with respect to each of the plurality of target axes.

A controller includes data collect circuitry configured to collect machining data including a date and a time when at least one machined portion of a workpiece has been machined by a machine tool, temperature circuitry configured to obtain, at predetermined time intervals, temperature data at positions on the machine tool, dimension data input circuitry configured to receive dimension measurement data which includes a dimension of the machined portion after the machined portion has been machined, learning data generate circuitry configured to generate learning data based on the machining data and the dimension measurement data, and machine learning circuitry configured to execute a machine learning based on the temperature data and the learning data to obtain a correction coefficient based on which a displacement caused by a change in a temperature of the machine tool is corrected according to a thermal displacement correction equation.

The information processing apparatus analyzes a machining program, determines whether or not there is a block fulfilling conditions for grouping that are registered in advance in the machining program, and if present, specifies the range of blocks to be grouped according to the grouping conditions, and performs simplified display for the plurality of consecutive blocks that have been grouped on a screen.

A digital technology transfer system transforms technology transfer documents to a set of digitized manufacturing procedures and operations documentation. The system can transform a technology transfer document to a hierarchical structured model representing a package, or product to be manufactured, and the process for manufacturing the product. The resulting package model can be integrated into a larger model representing an ecosystem of manufacturing entities and plant facilities by assigning steps of the manufacturing process to one or more selected production lines. The system allows participants in the ecosystem to browse the hierarchical model to view information about the manufacturing entities, their plant facilities, and the packages assigned to the respective facilities. The system offers filtered role-specific views of the technology transfer documents, their approval statuses, and their plant assignments.