An alpha-beta titanium-based alloy including titanium; one of 0.001-1.0 wt. % neodymium, 0.001-1.0 wt. % dysprosium, or 0.001-0.5 wt. % erbium; and at least one of aluminum, zirconium, tin, oxygen, molybdenum, vanadium, niobium, iron, and chromium present in amounts defined based on an aluminum equivalent and a molybdenum equivalent, wherein the aluminum equivalent (Al-eq) is between 0 to 7.5% and the molybdenum equivalent (Mo-eq) is between 2.7 to 47.5, and wherein the aluminum equivalent (Al-eq) and the molybdenum equivalent (Mo-eq) are defined, in weight percents, as follows:
Al-eq=(Al %)+(Zr %)/6+(Sn %)/3+10*(O %)
Mo-eq=(Mo %)+0.67*(V %)+0.33*(Nb %)+2.9*(Fe %)+1.6*(Cr %).

A process is disclosed for the electro-refinement of titanium aluminides to produce titanium-aluminum master alloys which process is effective even in the presence of substantial amounts of aluminum and in the presence of ten (10) or more weight percent oxygen in the material(s) to be refined. The process is likewise effective without the addition of titanium chlorides or other forms of soluble titanium to the electrolyte bath comprising halide salts of alkali metals or alkali-earth metals or a combination thereof.

A process is disclosed for the electro-refinement of titanium aluminides to produce titanium-aluminum master alloys which process is effective even in the presence of substantial amounts of aluminum and in the presence of ten (10) or more weight percent oxygen in the material(s) to be refined. The process is likewise effective without the addition of titanium chlorides or other forms of soluble titanium to the electrolyte bath comprising halide salts of alkali metals or alkali-earth metals or a combination thereof.

A method for designing a material for an aircraft component includes training a neural network to correlate microstructural features of an alloy with material properties of the alloy by at least providing a set of images of the alloy to the neural network. Each of the images in the set of images has varied constituent compositions. The method further includes providing the neural network with a set of determined material properties corresponding to each image, associating the microstructural features of each image with the set of empirically determined data corresponding to the image, and determining non-linear relationships between the microstructural features and corresponding empirically determined material properties via a machine learning algorithm, receiving a set of desired material properties of the alloy for aircraft component, and determining a set of microstructural features capable of achieving the desired material properties of the alloy based on the determined non-linear relationships.

The present invention relates to a spiral spring for a balance wheel made of an alloy of niobium and titanium with an essentially single-phase structure, and the method of manufacture thereof which comprises: a step of producing a blank in a niobium-based alloy consisting of: niobium: balance to 100 wt %, titanium: between 40 and 49 wt %, traces of elements selected from the group consisting of O, H, C, Fe, Ta, N, Ni, Si, Cu, Al, between 0 and 1600 ppm by weight individually, and cumulatively less than 0.3 wt %, a step of type β hardening of said blank at a given diameter, in such a way that the titanium of the niobium-based alloy is essentially in the form of a solid solution with niobium in β phase, the content of titanium in α phase being less than or equal to 10 vol %, at least one deformation step of said alloy alternating with at least one step of heat treatment, the number of steps of heat treatment and of deformation being limited so that the niobium-based alloy obtained retains a structure in which the titanium of the niobium-based alloy is essentially in the form of a solid solution with niobium in β phase, the content of titanium in α phase being less than or equal to 10 vol % and it has an elastic limit greater than or equal to 600 MPa and an elastic modulus less than or equal to 100 GPa, a step of winding to form the spiral spring being carried out before the last heat treatment step.

A nickel-titanium alloy with an average grain size of between 0.2 and 10 microns and a recoverable strain of greater than 9% is disclosed herein, in which the alloy is formed using a method which involves applying a shape set heat treatment to the nickel-titanium alloy. The heat treatment includes applying heat at a temperature between 225° C. and 350° C. for a period of time between 20 and 240 minutes.

A non-limiting embodiment of a titanium alloy comprises, in percent by weight based on total alloy weight: 5.1 to 6.5 aluminum; 1.9 to 3.2 tin; 1.8 to 3.1 zirconium; 3.3 to 5.5 molybdenum; 3.3 to 5.2 chromium; 0.08 to 0.15 oxygen; 0.03 to 0.20 silicon; 0 to 0.30 iron; titanium; and impurities. A non-limiting embodiment of the titanium alloy comprises an intentional addition of silicon in conjunction with certain other alloying additions to achieve an aluminum equivalent value of at least 6.9 and a molybdenum equivalent value of 7.4 to 12.8, which was observed to improve tensile strength at high temperatures.

A non-limiting embodiment of a titanium alloy comprises, in percent by weight based on total alloy weight: 5.1 to 6.5 aluminum; 1.9 to 3.2 tin; 1.8 to 3.1 zirconium; 3.3 to 5.5 molybdenum; 3.3 to 5.2 chromium; 0.08 to 0.15 oxygen; 0.03 to 0.20 silicon; 0 to 0.30 iron; titanium; and impurities. A non-limiting embodiment of the titanium alloy comprises an intentional addition of silicon in conjunction with certain other alloying additions to achieve an aluminum equivalent value of at least 6.9 and a molybdenum equivalent value of 7.4 to 12.8, which was observed to improve tensile strength at high temperatures.

Fuel cell alloy bipolar plates. The alloys may be used as a coating or bulk material. The alloys and metallic glasses may be particularly suitable for proton-exchange membrane fuel cells because of they may exhibit reduced weights and/or better corrosion resistance. The alloys may include any of the following Al.sub.xCu.sub.yTi.sub.z, Al.sub.xFe.sub.yNi.sub.z, Al.sub.xMn.sub.yNi.sub.z, Al.sub.xNi.sub.yTi.sub.z, Cu.sub.xFe.sub.yTi.sub.z, Cu.sub.xNi.sub.yTi.sub.z, Al.sub.xFe.sub.ySi.sub.z, Al.sub.xMn.sub.ySi.sub.z, Al.sub.xNi.sub.ySi.sub.z, Ni.sub.xSi.sub.yTi.sub.z, and C.sub.xFe.sub.ySi.sub.z. The alloys or metallic glass may be doped with various dopants to improve glass forming ability, mechanical strength, ductility, electrical or thermal conductivities, hydrophobicity, and/or corrosion resistance.

Fuel cell alloy bipolar plates. The alloys may be used as a coating or bulk material. The alloys and metallic glasses may be particularly suitable for proton-exchange membrane fuel cells because of they may exhibit reduced weights and/or better corrosion resistance. The alloys may include any of the following Al.sub.xCu.sub.yTi.sub.z, Al.sub.xFe.sub.yNi.sub.z, Al.sub.xMn.sub.yNi.sub.z, Al.sub.xNi.sub.yTi.sub.z, Cu.sub.xFe.sub.yTi.sub.z, Cu.sub.xNi.sub.yTi.sub.z, Al.sub.xFe.sub.ySi.sub.z, Al.sub.xMn.sub.ySi.sub.z, Al.sub.xNi.sub.ySi.sub.z, Ni.sub.xSi.sub.yTi.sub.z, and C.sub.xFe.sub.ySi.sub.z. The alloys or metallic glass may be doped with various dopants to improve glass forming ability, mechanical strength, ductility, electrical or thermal conductivities, hydrophobicity, and/or corrosion resistance.