publication . Other literature type . Article . 2018

Neural Network Modeling for the Extraction of Rare Earth Elements from Eudialyte Concentrate by Dry Digestion and Leaching

Ma, Yiqian; Stopic, Srecko; Gronen, Lars Hans; Milivojevic, Milovan; Obradovic, Srdjan; Friedrich, Karl Bernhard;
English
  • Published: 13 Apr 2018
  • Publisher: RWTH Aachen University
  • Country: Germany
Abstract
Eudialyte is a promising mineral for rare earth elements (REE) extraction due to its good solubility in acid, low radioactive, and relatively high content of REE. In this paper, a two stage hydrometallurgical treatment of eudialyte concentrate was studied: dry digestion with hydrochloric acid and leaching with water. The hydrochloric acid for dry digestion to eudialyte concentrate ratio, mass of water for leaching to mass of eudialyte concentrate ratio, leaching temperature and leaching time as the predictor variables, and the total rare earth elements (TREE) extraction efficiency as the response were considered. After experimental work in laboratory conditions,...
Subjects
Medical Subject Headings: equipment and supplies
free text keywords: 530, eudialyte, rare earth elements, dry digestion, leaching, neural network, Mining engineering. Metallurgy, TN1-997, ddc:530, Soil science, Linear regression, Solubility, engineering.material, engineering, Design of experiments, Leaching (agriculture), Hydrochloric acid, chemistry.chemical_compound, chemistry, Digestion, Stepwise regression
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