A method for regenerating different types of copper-containing aluminum alloys using aluminum alloy scrap from aeronautical industry.

The present invention provides an apparatus for preparing a metal based on solar energy thermal reduction. The apparatus includes a solar energy collection and photothermal conversion system and a thermal reduction system. The solar energy collection and photothermal conversion system includes: a solar energy collection device (1), a solar energy concentration device (2), and a solar energy transfer device (3) or a photothermal conversion and transfer device. The thermal reduction system includes: a metal reduction chamber (15), an electric field and/or magnetic field generation device (15-3), and a separation and cooling device (15-4). The solar energy collection and photothermal conversion system transfers sunlight or heat to the metal reduction chamber to decompose a metal oxide, and a product resulted from the decomposition is dissociated under the effect of an electric field/magnetic field, and a liquid metal is obtained upon cooling. The apparatus further includes a waste heat recovery and recycle system. According to the present invention, the metal oxide is heated and decomposed by directly using the solar energy, which improves energy utilization rate, greatly prevents environmental pollution and energy waste, and has a great application prospect.

The present application provides a process to recover materials from rechargeable lithium-ion batteries, thus recycling them. The process involves processing the batteries into a size-reduced feed stream; and then, via a series of separation, isolation, and/or leaching steps, allows for recovery of a copper product, cobalt, nickel, and/or manganese product, and a lithium product; and, optional recovery of a ferrous product, aluminum product, graphite product, etc. An apparatus and system for carrying out size reduction of batteries under immersion conditions is also provided.

The process disclosed herein is method of recovering aluminum from multilayered packaging. The process comprises subjecting multilayered packaging to a reactor with aqueous formic acid, wherein the solution is sonicated using sonic horns. This process allows the recovery of aluminum in its pure metal form. PP/PE components of the multilayered packaging are recovered utilizing density separation, while ink and PET components require further treatment in a toluene reactor which may include sonication.

The present invention relates to a system for melting aluminum and recycling black dross, including an aluminum melting furnace responsible for melting aluminum scraps in molten aluminum and a black dross recycling device responsible for recycling black dross generated when the aluminum scraps are melted in the molten aluminum. The aluminum melting furnace includes a heating chamber provided with heating units responsible for heating the molten aluminum; and a melting chamber provided with an eddy unit responsible for generating an eddy descending in a spiral in the molten aluminum, a flux supply unit responsible for adding a flux to the eddy, and a raw material supply unit responsible for adding the aluminum scraps to the eddy, wherein, in the eddy unit, black dross formed when inclusions contained in the molten aluminum are captured by the flux is repeatedly descended and floated in the molten aluminum through the eddy, so that the black dross is collected into a spherical shape to form spherical black dross, and the black dross recycling device is responsible for recycling the spherical black dross.

The present invention relates to a system for melting aluminum and recycling black dross, including an aluminum melting furnace responsible for melting aluminum scraps in molten aluminum and a black dross recycling device responsible for recycling black dross generated when the aluminum scraps are melted in the molten aluminum. The aluminum melting furnace includes a heating chamber provided with heating units responsible for heating the molten aluminum; and a melting chamber provided with an eddy unit responsible for generating an eddy descending in a spiral in the molten aluminum, a flux supply unit responsible for adding a flux to the eddy, and a raw material supply unit responsible for adding the aluminum scraps to the eddy, wherein, in the eddy unit, black dross formed when inclusions contained in the molten aluminum are captured by the flux is repeatedly descended and floated in the molten aluminum through the eddy, so that the black dross is collected into a spherical shape to form spherical black dross, and the black dross recycling device is responsible for recycling the spherical black dross.

Compositions and methods are provided that permit both recovery of at least two metals from industrial waste materials and control of the degree of relative recovery between the two metals. Industrial waste is initially treated with an acid and mixed for a defined period of time, and the extracted metals recovered from the resulting supernatant in subsequent steps. Surprisingly, the duration of this initial stirring period has been found to impact the relative degree of recovery of the two metals in a non-linear fashion.

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.

A method for extracting secondary metal values from a sulfuric acid leachate is provided. The method includes providing a leachate which contains a primary metal and a plurality of secondary metals, wherein the primary metal is selected from the group consisting of Cu, Li and Ni and is derived from sulfuric acid leaching of an ore; passing the leachate through a first ion exchange resin which is selective to, and releasably binds, the plurality of secondary metals; stripping the plurality of secondary metals from the second or third ion exchange resins, thereby obtaining a first extract; and recovering the secondary metals from the first extract. In some embodiments, prior to passing the leachate through the first ion exchange resin, the leachate is passed through a second ion exchange resin which is selective to, and releasably binds, one of the plurality of secondary metals. The one of the secondary metals is then stripped from the second exchange resin, thereby obtaining a second extract, and the one of the secondary metals is recovered from the second extract.

The invention relates to systems for transferring molten metal from one structure to another. Aspects of the invention include a transfer chamber constructed inside of or next to a vessel used to retain molten metal. The transfer chamber is in fluid communication with the vessel so molten metal from the vessel can enter the transfer chamber. A powered device, which may be inside of the transfer chamber, moves molten metal upward and out of the transfer chamber and preferably into a structure outside of the vessel, such as another vessel or a launder.