Development of Technology for Recycling Copper Smelting Production Waste

Харченко, Е. М.; Zhumashev, K. Zh.; Selivanov, E. N.

doi:10.1007/s11015-019-00782-2

Cited by 3 publications

(1 citation statement)

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“… 5 The smelting process mainly includes one-stage and two-stage smelting. 6 The one-stage smelting method is aimed at high-grade waste copper and miscellaneous copper. If the copper content is higher than 90%, it can be refined directly into anode copper through a fire refining furnace.…”

Section: Introductionmentioning

confidence: 99%

Metal mobility and toxicity of reclaimed copper smelting fly ash and smelting slag

et al. 2021

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Section: Introductionmentioning

confidence: 99%

Metal mobility and toxicity of reclaimed copper smelting fly ash and smelting slag

et al. 2021

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Enhanced recovery of copper from reclaimed copper smelting fly ash via leaching and electrowinning processes

Lei

Shu

Deng

et al. 2021

Separation and Purification Technology

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Intelligent Control System Architecture for Phosphorus Production from Apatite-Nepheline Ore Waste

et al. 2021

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This paper proposes multilevel architecture for an intelligent control system for the complex chemical energy technological process of yellow phosphorus production from apatite-nepheline ore processing waste. The research revealed that, when controlling this process, one has to deal with large amounts of multiformat and polymodal information, and control goals differ at different levels not only in effectiveness criteria, but also in the structuredness of the level problems. On this basis, it is proposed that intelligent methods be used for the implementation of information processes and control goals at individual levels and the whole system. The artificial intelligence methods underlying the informational model of a control system offer solutions to problems of analyzing control processes at different hierarchy levels, namely the initial level of sensing devices, the levels of programmable logic controllers, dispatching of control and production processes, enterprise management and strategic planning. Besides, the intelligent control system architecture includes analytical and simulation models of processes occurring in the multistage procedure of ore waste processing by a plant consisting of a granulating machine, a conveyor-type multichambercalcining machine, and an ore thermal furnace. The architecture of information support for the control system comprises a knowledge-based inference block intended for implementing the self-refinement of neural network and simulation models. Fuzzy logic methods are proposed for constructing this block. The paper considers the deployment of control algorithms for a phosphorus production system using the Matlab software environment on the basis of a modern complex system development paradigm known as the model-oriented design concept.

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Development of Technology for Recycling Copper Smelting Production Waste

Cited by 3 publications

References 1 publication

Metal mobility and toxicity of reclaimed copper smelting fly ash and smelting slag

Metal mobility and toxicity of reclaimed copper smelting fly ash and smelting slag

Enhanced recovery of copper from reclaimed copper smelting fly ash via leaching and electrowinning processes

Intelligent Control System Architecture for Phosphorus Production from Apatite-Nepheline Ore Waste

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