Disclosed are an external, numerically controlled, rapid reconfigurable surface mold and forming method thereof In this mold, an external shape-adjusting component is composed of a height-regulating rod, a motor, and a sliding guide rail module. The height-regulating rod is connected to the sliding guide rail module, and the motor is coaxially connected to the height-regulating rod. In addition, the molding module consists of a plurality of basic body units with the same structure, the lower end of the basic body unit is installed in the mold box, the upper end of the basic body unit is matched with the lower end of the height-regulating rod, and the height of the basic body unit is adjustable. Subsequently, in the forming method, driven by the motor and under the action of the force of the lower end of the height-regulating rod, the height-regulating rod moves above the basic body units.

An apparatus and method for manufacturing a workpiece using optical dimensioning. The apparatus comprises a tool configured to alter at least one feature of the workpiece. An imaging system is coupled to the tool and defines an optical axis. The imaging system is configured to capture a plurality of images of the at least one feature of the workpiece. A controller comprises one or more processors. The controller is configured to analyze the plurality of images to determine measured dimensions of the at least one feature of the workpiece. The controller is further configured to define a three-dimensional path for operating the tool by applying a predefined modification to the measured dimensions of the at least one feature of the workpiece.

An assembling die block includes a first main die having at least one first mounting section; a second main die having at least one second mounting section; at least one first matching die respectively having a first mating section to be correspondingly associated with the at least one first mounting section; and at least one second matching die respectively having a second mating section to be correspondingly associated with the at least one second mounting section. Wherein, there is a plurality of first mounting sections arrayed in a matrix; or there is a plurality of second mounting sections arrayed in a matrix; or there is a plurality of first mounting sections arrayed in a matrix and a plurality of second mounting sections arrayed in a matrix. An assembling apparatus using the above assembling die block is also disclosed.

A computer-implemented method for recommending a recipe to produce a product in a manufacturing process is disclosed. The computer-implemented method includes steps of: obtaining experimental data from a machine; generating a physics-based-simulation model based on the experimental data obtained from the machine; generating synthetic data for a first plurality of recipes using the physics-based-simulation model; determining an optimized physical range from physical ranges of each parameter by analyzing the experimental data and the synthetic data using a trained AI model; generating a second plurality of recipes when the optimized physical range of each parameter creating the second plurality of recipes is valid; validating the second plurality of recipes to extract an optimized recipe using the physics-based-simulation model; and recommending the optimized recipe for producing the product in the machine.

The present invention relates to the field of intelligent machining, in particular to a parallel control method based on multi-period differential sampling and digital twinning technologies, the method comprising the following steps of: a. detecting machining conditions of dotting machine equipment by using a multi-period differential sampling technology; b. establishing a digital twinning control model; and c. controlling a simulation model of the dotting machine equipment according to a detection judgment result so as to perform parallel control on the dotting machine equipment. According to the parallel control method based on multi-period differential sampling and digital twinning modelling provided by the present invention, for the digital twinning model of the dotting machine equipment, the parallel control method establishes a simulation model and a detection model of the dotting machine equipment by using a virtual-real synchronization technology; simulation dotting machine equipment operates in synchronization with the physical dotting machine equipment.

A device for monitoring a production facility includes a computing unit, at least one sensor, a memory unit, and an output device. In the memory unit, in each of at least one process variable set, at least three possible process states are stored and at least one algorithm is stored by which the one of the different possible process states actually present can be calculated, the possible process states that differ in relation to the respective process variable set are classified according to whether measures are necessary or recommended, the commands by the computing unit prompt it to execute the associated algorithm and thus to calculate which of the different possible process states is actually present and to check whether the actually present process state is classified as such a process state, to generate and output an electronic message depending on the calculated process state.

The present invention relates to the field of intelligent machining, in particular to a parallel control method based on multi-period differential sampling and digital twinning technologies, the method comprising the following steps of: a. detecting machining conditions of dotting machine equipment by using a multi-period differential sampling technology; b. establishing a digital twinning control model; and c. controlling a simulation model of the dotting machine equipment according to a detection judgment result so as to perform parallel control on the dotting machine equipment. According to the parallel control method based on multi-period differential sampling and digital twinning modelling provided by the present invention, for the digital twinning model of the dotting machine equipment, the parallel control method establishes a simulation model and a detection model of the dotting machine equipment by using a virtual-real synchronization technology; simulation dotting machine equipment operates in synchronization with the physical dotting machine equipment.

A plastic injection-moulding machine includes an injection unit for processing a plastic mass to be moulded, and a closing unit having an injection-moulding tool having at least one cavity, into which the plastic mass processed by the injection unit is injected to produce a moulded part. A machine controller controls the injection unit and the closing unit, and a user interface device, which has at least one input means and at least one output means. The at least one output means is designed as a screen. At least one camera is provided to record a region of the plastic injection-moulding machine lying behind the user interface device, with the machine controller being designed to display the region recorded by the camera on the screen.

A plastic injection-moulding machine includes an injection unit for processing a plastic mass, and a closing unit having an injection-moulding tool with a cavity, into which plastic mass is injected by the injection unit to produce a moulded part. A machine controller controls the injection unit and the closing unit according to a machine program running on the machine controller. A user interface device communicates with the machine controller and has a screen for displaying text information and/or image information. The machine controller includes a data memory for storing the text information and/or image information in the form of data sets, and a process generator for manually assigning each state parameter of the plastic injection-moulding machine a data set. The process generator automatically writes the data set into the data memory or automatically reads out the data set for display on the screen in accordance with the associated state parameter.

A method includes obtaining stamping system data from a stamping system data controller and vibration data from one or more vibration sensors disposed at the conduit; selecting a baseline vibration threshold and a frequency filter from among a plurality of frequency filters based on the stamping system data; generating a plurality of measured vibration values based on the vibration data and the frequency filter, where each measured vibration value from among the plurality of measured vibration values is associated with a given iteration from among a plurality of iterations of a stamping process; determining whether the conduit is in an obstructed state based on a comparison between a set of measured vibration values from among the plurality of measured vibration values and the baseline vibration threshold; and performing a corrective action in response to the conduit being in the obstructed state.