Abstract: The disclosed technology generally relates to consumable electrode wires and more particularly to consumable electrode wires having a core-shell structure, where the core comprises aluminum. In one aspect, a welding wire comprises a sheath having a steel composition and a core surrounded by the sheath. The core comprises aluminum (Al) at a concentration between about 3 weight % and about 20 weight % on the basis of the total weight of the welding wire, where Al is in an elemental form or is alloyed with a different metal element. The disclosed technology also relates to welding methods and systems adapted for using the aluminum-comprising electrode wires.

Abstract: An additive manufacturing system includes an electrode head comprising an array of electrodes for depositing material to form a three-dimensional attachment structure connecting first and second prefabricated metallic parts. The array includes a first plurality of electrodes formed from a first metallic material having a first ductility and a first hardness, and a second plurality of electrodes formed from a second metallic material having a second ductility and a second hardness, wherein the first ductility is greater than the second ductility and the second hardness is greater than the first hardness. A power source provides power for heating each electrode. A drive roll system drives each electrode.

Abstract: Embodiments of additive manufacturing systems are disclosed. In one embodiment, an additive manufacturing system includes an array of multiple electrodes for sequentially depositing material layer-by-layer to form a three-dimensional (3D) part. The system includes a power source to provide electrical power for establishing a welding arc for each electrode. The system includes a drive roll to drive each electrode. The system also includes a controller to operate the system at a first deposition rate to form first resolution contour portions of a layer of the part. The controller also operates the system at a second deposition rate to form second resolution fill portions of the layer of the part. The system provides variable width deposition at the second deposition rate using a variable number of the electrodes. The first deposition rate is lower than the second deposition rate, and the first resolution is higher than the second resolution.

Abstract: Embodiments of systems and methods for characterizing weldments are disclosed. One embodiment includes a method of generating an algorithm for classifying weldments as meeting or not meeting a specification. Training data is read by a machine learning system. The training data includes cross-sectional images of training weldments, truth data indicating whether the training weldments meet the specification or not, and training weld data associated with creating the training weldments. The machine learning system trains up an algorithm using the training data such that the resultant algorithm can classify a subsequent test weldment as meeting the specification or not meeting the specification when a cross-sectional image of the test weldment and test weld data used to create the test weldment are read and processed by the classification algorithm as trained.

Abstract: Embodiments of the present invention are directed to systems and methods of predicted a welding property for a given welding operation using at least one electrode. Embodiments determine a predicted weld deposit property and compare the predicted property to a desired property to determine whether or not a selected electrode for the given welding operation can achieve the desired weld deposit.

Abstract: An additive manufacturing system includes an electrode head comprising an array of electrodes for depositing material to form a three-dimensional attachment structure connecting first and second prefabricated metallic parts. The array includes a first plurality of electrodes formed from a first metallic material having a first ductility and a first hardness, and a second plurality of electrodes formed from a second metallic material having a second ductility and a second hardness, wherein the first ductility is greater than the second ductility and the second hardness is greater than the first hardness. A power source provides power for heating each electrode. A drive roll system drives each electrode.

Abstract: An additive manufacturing system includes an electrode head comprising an array of electrodes for depositing material to form a three-dimensional part. The array includes a first plurality of electrodes formed from a first metallic material having a first ductility and a first hardness, and a second plurality of electrodes formed from a second metallic material having a second ductility and a second hardness, wherein the first ductility is greater than the second ductility and the second hardness is greater than the first hardness. A power source provides electrical power for establishing a welding arc for each electrode. A drive roll system drives each electrode.

Abstract: The disclosed technology generally relates to consumable electrode wires and more particularly to consumable electrode wires having a core-shell structure, where the core comprises aluminum. In one aspect, a welding wire comprises a sheath having a steel composition and a core surrounded by the sheath. The core comprises aluminum (Al) at a concentration between about 3 weight % and about 20 weight % on the basis of the total weight of the welding wire, where Al is in an elemental form or is alloyed with a different metal element. The disclosed technology also relates to welding methods and systems adapted for using the aluminum-comprising electrode wires.

Abstract: Embodiments of systems and methods for characterizing weldments are disclosed. One embodiment includes a method of generating an algorithm for classifying weldments as meeting or not meeting a specification. Training data is read by a machine learning system. The training data includes cross-sectional images of training weldments, truth data indicating whether the training weldments meet the specification or not, and training weld data associated with creating the training weldments. The machine learning system trains up an algorithm using the training data such that the resultant algorithm can classify a subsequent test weldment as meeting the specification or not meeting the specification when a cross-sectional image of the test weldment and test weld data used to create the test weldment are read and processed by the classification algorithm as trained.

Abstract: Embodiments of additive manufacturing systems are disclosed. In one embodiment, an additive manufacturing system includes an array of multiple electrodes for sequentially depositing material layer-by-layer to form a three-dimensional (3D) part. The system includes a power source to provide electrical power for establishing a welding arc for each electrode. The system includes a drive roll to drive each electrode. The system also includes a controller to operate the system at a first deposition rate to form first resolution contour portions of a layer of the part. The controller also operates the system at a second deposition rate to form second resolution fill portions of the layer of the part. The system provides variable width deposition at the second deposition rate using a variable number of the electrodes. The first deposition rate is lower than the second deposition rate, and the first resolution is higher than the second resolution.

Abstract: Embodiments of the present invention are directed to systems and methods of predicted a welding property for a given welding operation using at least one electrode. Embodiments determine a predicted weld deposit property and compare the predicted property to a desired property to determine whether or not a selected electrode for the given welding operation can achieve the desired weld deposit.

Abstract: A method for three-dimensional printing includes depositing, via a first metal deposition device, first metal on a base along a first path and simultaneously depositing, via a second metal deposition device, second metal on the base along a second path to form a three-dimensional structure. The three-dimensional structure includes the first metal along the first path and the second metal along the second path. A first end of the first path is adjacent to a first end of the second path. The first metal deposition device moves independently from the second metal deposition device.