Aluminum scrap pieces are sorted into selected alloys and then fed into a vacuum smelting furnace to melt. The aluminum scrap pieces may be sorted into various cast aluminum alloy series, wrought aluminum alloy series, or extrusion aluminum alloy series. The sorting may be performed using x-ray fluorescence, artificial intelligence, or laser induced breakdown spectroscopy.

A method of producing a composite material comprising: supplying a metal compound (M.sub.PC) of a product metal (M.sub.P) and a reductant (R) capable of reducing the metal compound (M.sub.PC) of the product metal (MP) to a reactor; forming a composite material comprising a matrix of oxidised reductant (R.sub.0) of the reductant (R), the product metal (M.sub.P) dispersed in the matrix of oxidised reductant (R.sub.0), and at least one of (i) one or more metal compounds (M.sub.PC.sub.R) of the metal compound (M.sub.PC) in one or more oxidation states and (ii) the reductant (R); and recovering the composite material from the reactor, wherein the metal compound (M.sub.PC) of the product metal (M.sub.P) is fed to the reactor such that it is in excess relative to the reductant (R).

The present invention relates to a method for recycling iron and aluminum in a nickel-cobalt-manganese solution. The method comprises the following steps: leaching a battery powder and removing copper therefrom to obtain a copper-removed solution, and adjusting the pH value in stages to remove iron and aluminum, so as to obtain a goethite slag and an iron-aluminum slag separately; mixing the iron-aluminum slag with an alkali liquor, and heating and stirring same to obtain an aluminum-containing solution and alkaline slag; and heating and stirring the aluminum-containing solution, introducing carbon dioxide thereto and controlling the pH value to obtain aluminum hydroxide and an aluminum-removed solution.

A process for recovering titanium dioxide from a titanium-bearing material, the process including the steps of: leaching the titanium-bearing material in a first leaching step at atmospheric pressure and at a temperature of 70 to 97° C. with a first lixiviant to produce a first leach solution comprising undissolved first leach solids that include a titanium content and a first leach liquor, the first lixiviant comprising hydrochloric acid at a concentration of less than 23% w/w; separating the first leach liquor and the undissolved first leach solids; leaching the first leach solids in a second leaching step at atmospheric pressure and at a temperature of 60 to 80° C. with a second lixiviant in the presence of a Fe powder reductant to produce a second leach solution comprising undissolved second each solids and a second leach liquor that includes a leached titanium content and iron content, the second lixiviant comprising a mixed chloride solution comprising less than 23% w/w hydrochloric acid and an additional chloride selected from alkali metal chlorides, magnesium chloride and calcium chloride, or mixtures thereof; separating the second leach liquor and the undissolved second leach solids; and thereafter separating the titanium dioxide and the iron content from the second leach liquor by precipitation, and regenerating the second lixiviant for recycle to the second leaching step.

Methods for obtaining solid products and combustible gas using aluminum waste are disclosed. In some embodiments, a method for obtaining solid products and combustible gas using aluminum waste may comprise: obtaining a reactive mass, the reactive mass comprising aluminum remelting waste or a derivative thereof; applying a solvent to the reactive mass to generate a solution and a first solid product; separating the solution from the first solid product; applying a reactant to at least a portion of the first solid product to initiate a reaction, the reactant being different from the solvent, the reaction generating a combustible gas and a second solid product; and separating the reactant from the second solid product.

A method for separating and recovering materials from an electrochemical cell by dissolution in multiple solvents, separation of dissolved constituents, and recovery of materials.

Methods for recovering a metal from a metal-containing material are provided. In embodiments, such a method comprises exposing a metal-containing material to a leaching solution comprising a solvent and a binoxalate, a tetraoxalate, or a combination thereof, under conditions to provide a leachate comprising a soluble metal oxalate; inducing precipitation of a metal-containing precipitate comprising the metal of the soluble metal oxalate from the leachate; and recovering the metal-containing precipitate.

A Mg removal agent is composed of a chloride and copper oxide. The chloride contains at least Mg and one or more base metal elements selected from K, Na, and Ca. The chloride contains, for example, 0.2 to 60 mass % of MgCl.sub.2 and/or 40 to 99.8 mass % of KCl with respect to the chloride as a whole. The compounding ratio that is a mass ratio of the chloride to the copper oxide is, for example, 0.15 or more. The chloride may be a re-solidified salt or a mixed salt. At least a part of the chloride may be a mineral containing the base metal elements and Mg or a mineral-derived chloride. A preferred example of the Mg removal agent is granular flux introduced into the aluminum alloy molten metal.

A multi-chamber melting furnace for melting scrap of non-ferrous metals, in particular aluminum scrap, including a first shaft furnace with a shaft for charge material, in which impurities of the charge material can be removed, and at least one furnace chamber which is connected to the shaft of the first shaft furnace and has a first heat supply device, wherein at least one second shaft furnace with a shaft for charge material, in which shaft impurities of the charge material can be removed, the furnace chamber being connected to the shaft of the second shaft furnace and being arranged between the shafts in such a manner that the furnace chamber forms a main melting chamber in which the molten bath is located during operation.

The invention provides a decision-making method of comprehensive alumina production indexes based on a multi-scale deep convolutional network. The method mainly consists of several sub-models: a multi-scale deep splicing convolutional neural network prediction sub-model reflecting the influence of bottom-layer production process indexes on the comprehensive alumina production indexes, a full connecting neural network prediction sub-model reflecting the influence of upper-layer dispatching indexes on the comprehensive alumina production indexes, a full connecting neural network prediction sub-model reflecting the influence of the comprehensive alumina production indexes at a past time on current comprehensive alumina production indexes, and a multi-scale information neural network integrated model for collaborative optimization of sub-model parameters. According to the method, through an integrated prediction model structure, a memory capacity of a superficial-layer network and a feature extraction capacity of a deep-layer network, a precise decision-making for the comprehensive alumina production indexes is realized.