A method of producing a metallic powder material comprises supplying feed materials to a melting hearth, and melting the feed materials on the melting hearth with a first heat source to provide a molten material having a desired chemical composition. At least a portion of the molten material is passed from the melting hearth either directly or indirectly to an atomizing hearth, where it is heated using a second heat source. At least a portion of the molten material from the atomizing hearth is passed in a molten state to an atomizing apparatus, which forms a droplet spray from the molten material. At least a portion of the droplet spray is solidified to provide a metallic powder material.

A method of producing a metallic powder material comprises supplying feed materials to a melting hearth, and melting the feed materials on the melting hearth with a first heat source to provide a molten material having a desired chemical composition. At least a portion of the molten material is passed from the melting hearth either directly or indirectly to an atomizing hearth, where it is heated using a second heat source. At least a portion of the molten material from the atomizing hearth is passed in a molten state to an atomizing apparatus, which forms a droplet spray from the molten material. At least a portion of the droplet spray is solidified to provide a metallic powder material.

The present disclosure relates to a healable superplastic amorphous alloy, and specifically, to a healable superplastic amorphous alloy capable of exhibiting superplastic behavior and unique healable behavior by maximizing the complexity of the amorphous structure for an Icosahedral quenched-in nuclei quasi-crystal cluster to be formed in the amorphous matrix through the composition limitation and additive element control of ZrCuNiAl alloy.

A metal component is disclosed. The metal component has a first dimension greater than 5 mm, and a second dimension greater than 5 mm. The metal component may include where the alloy includes titanium, aluminum, vanadium, carbon, nitrogen, and oxygen. The alloy may include zirconium, titanium, copper, nickel, and beryllium. The metal component is not die-cast, melt-spun, or forged. An ejector and a method for jetting the metal component is also disclosed.

A metal component is disclosed. The metal component has a first dimension greater than 5 mm, and a second dimension greater than 5 mm. The metal component may include where the alloy includes titanium, aluminum, vanadium, carbon, nitrogen, and oxygen. The alloy may include zirconium, titanium, copper, nickel, and beryllium. The metal component is not die-cast, melt-spun, or forged. An ejector and a method for jetting the metal component is also disclosed.

This invention presents an innovative framework for the application of machine learning for identification of alloys or composites with desired properties of interest. For each output property of interest, we identify the corresponding driving (input) factors. These input factors may include the material composition, heat treatment, process, microstructure, temperature, strain rate, environment or testing mode. Our framework assumes selection of optimization technique suitable for the application at hand and data available, starting with simple linear, or quadratic, regression analysis. We present a physics-based model for predicting the ultimate tensile strength, a model that accounts for physical dependencies, and factors in the underlying physics as a priori information. In case an artificial neural network is deemed suitable, we suggest employing custom kernel functions consistent with the underlying physics, for the purpose of attaining tighter coupling, better prediction, and extracting the most out of theusually limitedinput data available.

High gamma prime nickel based welding materials comprising (all in wt. %) from 13.0 to 14.0% Cr, from 30.0 to 32.0% Co, from 0.7 to 0.9% Mo, from 7.0 to 8.0% W, from 0.5 to 6.0% Ta, from 3.8 to 5.5 Al %, up to 0.12% Ti, up to 0.02 Zr %, from 0.4 to 0.8% Hf, up to 0.02% B, from 0.05 to 0.3% C, up to 0.015% Y, up to 0.015% V, from 1.0 to 2.0% Re, and nickel to balance for repair of turbine engine components and other articles manufactured from single crystal materials and other superalloys by manual and automatic gas tungsten arc, plasma arc, laser, and electron beam welding as well as for 3D additive manufacturing.

High gamma prime nickel based welding materials comprising (all in wt. %) from 13.0 to 14.0% Cr, from 30.0 to 32.0% Co, from 0.7 to 0.9% Mo, from 7.0 to 8.0% W, from 0.5 to 6.0% Ta, from 3.8 to 5.5 Al %, up to 0.12% Ti, up to 0.02 Zr %, from 0.4 to 0.8% Hf, up to 0.02% B, from 0.05 to 0.3% C, up to 0.015% Y, up to 0.015% V, from 1.0 to 2.0% Re, and nickel to balance for repair of turbine engine components and other articles manufactured from single crystal materials and other superalloys by manual and automatic gas tungsten arc, plasma arc, laser, and electron beam welding as well as for 3D additive manufacturing.

Systems and methods for developing tough hypoeutectic amorphous metal-based materials for additive manufacturing, and methods of additive manufacturing using such materials are provided. The methods use 3D printing of discrete thin layers during the assembly of bulk parts from metallic glass alloys with compositions selected to improve toughness at the expense of glass forming ability. The metallic glass alloy used in manufacturing of a bulk part is selected to have minimal glass forming ability for the per layer cooling rate afforded by the manufacturing process, and may be specially composed for high toughness.

Systems and methods for developing tough hypoeutectic amorphous metal-based materials for additive manufacturing, and methods of additive manufacturing using such materials are provided. The methods use 3D printing of discrete thin layers during the assembly of bulk parts from metallic glass alloys with compositions selected to improve toughness at the expense of glass forming ability. The metallic glass alloy used in manufacturing of a bulk part is selected to have minimal glass forming ability for the per layer cooling rate afforded by the manufacturing process, and may be specially composed for high toughness.