B23K31/00

Methods for forming vertically cracked thermal barrier coatings and articles including vertically cracked thermal barrier coatings
11525179 · 2022-12-13 · ·

A method for forming a vertically cracked thermal barrier coating is disclosed including positioning an article relative to a heat source. The article includes a thermal barrier coating disposed on a first surface of a substrate, and the substrate includes a second surface distal across the substrate from the first surface. Heat is applied locally to at least one discrete portion of the second surface of the substrate. At least one vertical crack in the thermal barrier coating is formed disposed over the at least one discrete portion. An article is disclosed including a substrate and a vertically-cracked thermal barrier coating disposed on the substrate. The vertically cracked thermal barrier coating includes at least one vertical crack in the thermal barrier coating and at least one of a low density of less than 85% of a theoretical density for the thermal barrier coating and a selective crack distribution.

Method for constructing body-in-white spot welding deformation prediction model based on graph convolutional network
20220390920 · 2022-12-08 · ·

A method for constructing a body-in-white (BiW) spot welding deformation prediction model based on a graph convolutional network (GCN) includes: 1) acquiring a welding feature and 3D coordinates of a spot weld to form an eigenvector and extracting designed 3D coordinates at each 3D coordinate measurement point; 2) encoding, by an encoder, eigenvectors and designed 3D coordinate vectors into hidden space vectors of spot welds and hidden space vectors of the coordinate measurement points, respectively, and constructing a graph topology G through a k-nearest neighbors algorithm; 3) decomposing a Laplacian eigenvector of the constructed graph topology G to acquire frequency domain components, and linearly transforming eigenvalues corresponding to the frequency domain components to construct a multi-layer GCN; 4) inputting the thermodynamic and kinetic information of each coordinate measurement point into a deep neural network and decoding a final deformation at each coordinate measurement point; and 5) optimizing the model.

Methods for in situ formation of dispersoids strengthened refractory alloy in 3D printing and/or additive manufacturing
11519063 · 2022-12-06 ·

Methods of fabricating objects using additive manufacturing are provided. The methods create in situ dispersoids within the object. The methods are used with refractory alloy powders which are pretreated to increase the oxygen content to between 500 ppm and 3000 ppm or to increase the nitrogen content to between 250 ppm and 1500 ppm. The pretreated powders are then formed into layers in an environmentally controlled chamber of an additive manufacturing machine. The environmentally controlled chamber is adjusted to have between 500 ppm and 200 ppm oxygen. The layer of pretreated powder is then exposed to a transient moving energy source for melting and solidifying the layer; and creating in situ dispersoids in the layer.

Methods for in situ formation of dispersoids strengthened refractory alloy in 3D printing and/or additive manufacturing
11519063 · 2022-12-06 ·

Methods of fabricating objects using additive manufacturing are provided. The methods create in situ dispersoids within the object. The methods are used with refractory alloy powders which are pretreated to increase the oxygen content to between 500 ppm and 3000 ppm or to increase the nitrogen content to between 250 ppm and 1500 ppm. The pretreated powders are then formed into layers in an environmentally controlled chamber of an additive manufacturing machine. The environmentally controlled chamber is adjusted to have between 500 ppm and 200 ppm oxygen. The layer of pretreated powder is then exposed to a transient moving energy source for melting and solidifying the layer; and creating in situ dispersoids in the layer.

Virtual reality controlled mobile robot

In certain embodiments, a portable metal working robot system includes a metal working tool configured to perform a metal working process on one or more metal parts. In addition, the portable metal working robot system includes communication circuitry configured to receive control signals from a control system located remotely from the portable metal working robot system. The portable metal working robot system also includes control circuitry configured to control operational parameters of the portable metal working robot system in accordance with the received control signals.

PLASMA CUTTING METHOD

The invention related to a method for plasma cutting workpieces, using a plasma torch that has at least one plasma torch body, an electrode, and a nozzle.

BATTERY MANUFACTURING METHOD AND BATTERY
20220367950 · 2022-11-17 · ·

A battery manufacturing method and a battery are provided. The battery manufacturing method includes: providing a first housing, including a bottom wall and a side wall, wherein the side wall extends upward from the bottom wall, the side wall encloses to form an opening, the side wall extends outward from the opening to form a first flange, and a first reinforcing part is formed on the first flange; providing a second housing, wherein the second housing includes an intermediate part and a second flange, the intermediate part covers the opening, and the second flange is in contact with the first flange; and welding the first flange and the second flange.

Machine learning apparatus, control device, laser machine, and machine learning method
11500360 · 2022-11-15 · ·

A machine learning apparatus able to obtaining an optimal shift amount of an assist gas. The machine learning apparatus comprises a state-observation section configured to observe machining condition data included in a machining program given to the laser machine, and measurement data of a dimension of dross generated at a cutting spot of the workpiece when the machining program is executed, as a state variable representing a current state of an environment in which the workpiece is cut; and a learning section configured to learn the shift amount in association with cutting quality of the workpiece, using the state variable.

MONITORING OF A LASER MACHINING PROCESS USING A NEUROMORPHIC IMAGE SENSOR
20230036295 · 2023-02-02 ·

A system for monitoring a laser machining process on a workpiece is disclosed. The system includes: a neuromorphic image sensor configured to generate image data of the laser machining process, and a computing unit configured to determine input data based on the image data, and to determine output data based on the input data by means of a transfer function, the output data containing information about the laser machining process. Further, a method for monitoring a laser machining process on a workpiece is disclosed.

Method for manufacturing joined member and apparatus for manufacturing the same
11484965 · 2022-11-01 · ·

To provide a method and apparatus for manufacturing a joined member that inhibit occurrence of cracks in a joined member even when the joined portion is quenched when members are welded together. The method includes placing the first member D and the second member E with a joint target portion Df and a joint target portion Ef being in contact with each other, welding the joint target portions by heating, subjecting the first member D after the welding to a process for inhibiting occurrence of cracks, and tempering a portion where the first and second members have been welded to each other by electromagnetic heating. The apparatus includes a first electrode 11 to contact with the first member D; a second electrode 12 to contact with the second member E; and an induction heating coil 23 for performing induction heating of a portion where a joint target portions Df and Ef have been contacted and joined to each other, and the induction heating coil 23 is placed between the two electrodes 11 and 12 when the induction heating is performed.