A machining program conversion device includes: a numerical control simulation unit that generates a numerical control processing result by simulating numerical control processing that is controlled by the machining program; a modification part detection unit that detects a modification part based on a modification condition and the numerical control processing result, the modification condition for determining whether there is a modification part; a modification section determination unit that designates consecutive blocks including the modification part as a modification section; a cutting point calculation unit that identifies, based on the machining program, the machining target shape, and the tool information, a cutting point of the tool with respect to the machining target shape; and a machining program modification unit that modifies, based on the machining program, the modification section, and the cutting point, the movement command related to the modification section such that the cutting point does not change.

An information technology system for supporting additive manufacturing and value chain workflows includes a cloud-based metal additive manufacturing management platform including an artificial intelligence system configured to learn on a training set of outcomes, parameters, and data collected from one or more additive manufacturing nodes to optimize additive manufacturing and value chain processes and workflows. The information technology system includes a distributed ledger system configured to store data related to the manufacturing nodes.

Systems and a method predict a generation of a robotic program for industrial coating. Inputs are received including a virtual representation of a robot, a coating gun, elements of the object surface to be coated and a set of desired coating thickness ranges. Inputs on a coating dispersion object are also received. Training data of a plurality of robotic programs for industrial coating and of their corresponding coating thickness coverage on a plurality of surfaces are received. The training data are processed in x, y tuples so as to learn a mapping function to generate a coating prediction module. Starting with a given selected valid thickness coverage as input parameters, it is proceeded in an iterative manner to predict a robotic program via the coating prediction module. A coating robotic program is generated for each surface element based on the resulting predicted coating programs.

In some aspects, the present invention comprises a system and method for optimizing the control scheme used for drilling operations based on the complex and large data sets available in realtime during operation of a wellsite and based on existing model data available at the wellsite for past similar drilling operations. Such optimizations typically require downtime to quantify how the realtime values will factor into the control model, but the present invention allows for such optimization in realtime in a closed-loop system that will reduce the non-productive time associated with reservoir operations.

A numerical control device includes an NC-machining-program reading unit to read an NC machining program, a machining-removal-shape generation unit to generate a machining removal shape by a block of the NC machining program, a tool-data search unit to search for tool data to be used in the NC machining program, and a machining-finished-shape generation unit to generate a machining finished shape from the machining removal shape generated by the machining-removal-shape generation unit. During editing of the NC machining program, the machining removal shape and the machining finished shape can be confirmed sequentially by the block.

A cell controller capable of optimizing the operation of a production system having a plurality of industrial machines operated by an operation program. The cell controller includes: a system operational information analyzer configured to analyze time-series operational information received from the industrial machines via a network, so as to find a part in the system which generates an adverse effect on a cycle time of the entire production system; a state quantity analyzer configured to analyze a state quantity of the industrial machines so as to calculate a degree of margin of motion of each industrial machine; a program modifier configured to automatically modify a velocity or acceleration in the operation program based on the degree of margin; and a simulator configured to execute an operational simulation of the production system in order to confirm a modification result of the operation program.

A method, device, and system for configuring a coating machine for coating a surface of a product using a coating substance are provided. The method includes determining a value associated with one or more parameters from a plurality of parameters associated with the coating operation. The method also includes predicting a value associated with at least one attribute associable with the coating substance based on the determined value associated with the one or more parameters using a trained machine learning model. The method includes configuring the coating machine for coating the surface using the coating substance based on the predicted value associated with the at least one attribute associable with the coating substance. The method also includes initiating a coating operation at the configured coating machine for coating the surface of the product using the coating substance.

An information technology system for a distributed manufacturing network includes an additive manufacturing management platform configured to manage process and production workflows for a set of distributed manufacturing network entities through design, modeling, printing, and supply chain stages. The information technology system includes an artificial intelligence system configured to learn on a training set of outcomes, parameters, and data collected from the set of distributed manufacturing network entities of the distributed manufacturing network to optimize digital production processes and workflows. The information technology system includes a distributed ledger system integrated with a digital thread configured to provide unified views of workflow and transaction information to entities in the distributed manufacturing network.

To optimize an automatically optimized machining time for machining a workpiece in a machine tool, an original parts program is loaded into a machine tool controller. The machining of the workpiece using the original parts program is simulated, where a motion path generated by the original parts program in the machine tool is determined. The motion path is classified into at least one area of potential optimization in which there is no workpiece contact. The at least one area of potential optimization is assigned a tolerance space. An optimized motion path is determined within the tolerance space. The machining of the workpiece using the modified parts program is simulated. The optimized motion path is displayed and marked. Once a user has approved the modification in the parts program, machining of the workpiece takes place using the modified parts program.

The disclosure relates to a method for programming a program-controlled coating robot for coating components. A robot path is preset and application parameters observed by the applicator are also preset based on real coating operation during movement along the robot path. There is a virtual determination of a coating result for the predetermined robot path and the predetermined application parameters. The disclosure provides steps for virtual determination of the coating result including generating real spray pattern data and/or reading out real spray pattern data from a database as a function of the predetermined robot path and/or the predetermined application parameters, the read-out real spray pattern data reproducing a spray pattern which the applicator generates during a real coating operation with the predetermined application parameters and/or on the predetermined robot path, and determining the coating result taking into account the real spray pattern data read out from the database or the generated spray pattern data.