Design of Multi-Stage Solvent Extraction Process for Separation of Rare Earth Elements

被引:0
作者
Srivastava, Vaibhav [1 ]
Werner, Joshua [1 ]
Honaker, Rick [1 ]
机构
[1] Univ Kentucky, Dept Min Engn, 310 Columbia Ave, Lexington, KY 40506 USA
来源
MINING | 2023年 / 3卷 / 03期
关键词
rare earth elements; solvent extraction; flowsheet design; particle swarm optimization; RECOVERY; SIMULATION;
D O I
10.3390/mining3030031
中图分类号
TD [矿业工程];
学科分类号
0819 ;
摘要
Flowsheet design and stage determination for the separation of rare earth elements (REEs) using solvent extraction (SX) is a challenging task because of the chemical similarity of the REEs. Low separation factors between the elements and complex equilibrium chemistry provide unique challenges to designing an efficient flowsheet for the separation of elements. The multi-stage nature of the SX process adds further complexity, making the assessment of products for a proposed design and stage combination difficult. Therefore, to develop a SX flowsheet, it is essential to quantify the performance for various design and separation conditions. This paper attempts to address the challenge by utilizing an equilibrium and process modeling approach. Results from a bench-scale study performed on a 10 g/L rare earth salt mixture were used in studying the extraction/stripping behavior and developing equilibrium models. DEHPA with TBP as a phase modifier was used as an extractant, while hydrochloric acid was utilized as a stripping agent. The results obtained were used in developing extraction/stripping models, which were integrated into a process framework of a SX train in a Matlab/Simulink environment. The models were programmed as a function block routine and used for developing a flowsheet, which was simulated for differing separation and design conditions. To identify optimum stage combinations, a particle swarm optimization (PSO) routine was developed and implemented for each SX train. Recovery and purity of elements of interest were used as objective function criteria. The stage combination leading to the minimization of the objective function was used to identify the optimum stage combination for a series of SX trains to attempt a balance of purity and recovery. The models and optimization method were implemented to separate a feed mixture containing REEs, which indicated that 99.52 and 85.41 percent purity is achievable for Yttrium and Lanthanum separation using 8-12-3 and 10-3-5 stage combination for loading, scrubbing, and striping. The model also indicated difficult separability between neodymium, praseodymium, and cerium.
引用
收藏
页码:552 / 578
页数:27
相关论文
共 31 条
[1]   Artificial neural network simulation of rare earths solvent extraction equilibrium data [J].
Anitha, M. ;
Singh, H. .
DESALINATION, 2008, 232 (1-3) :59-70
[2]  
Basualto C, 2013, J CHIL CHEM SOC, V58, P1785, DOI 10.4067/S0717-97072013000200032
[3]   Optimization of the Design Parameters of a CYANEX 272 Circuit for Recovery of Nickel and Cobalt [J].
Bourget, Cyril ;
Soderstrom, Matthew ;
Jakovljevic, Boban ;
Morrison, James .
SOLVENT EXTRACTION AND ION EXCHANGE, 2011, 29 (5-6) :823-836
[4]   Global Rare Earth In-Use Stocks in NdFeB Permanent Magnets [J].
Du, Xiaoyue ;
Graedel, T. E. .
JOURNAL OF INDUSTRIAL ECOLOGY, 2011, 15 (06) :836-843
[5]  
Evans HA, 2014, COMPUT-AIDED CHEM EN, V33, P505
[6]  
Free M.L., 2013, Hydrometallurgy: fundamentals and applications
[7]   Rare earths: A review of the landscape [J].
Ganguli R. ;
Cook D.R. .
MRS Energy and Sustainability, 2018, 5 (01)
[8]   Modelling of rare earth solvent extraction with artificial neural nets [J].
Giles, AE ;
Aldrich, C ;
vanDeventer, JSJ .
HYDROMETALLURGY, 1996, 43 (1-3) :241-255
[9]  
He Y., 2016, P MATEC WEB C CAP TO
[10]   Conception of an integrated flowsheet for rare earth elements recovery from coal coarse refuse [J].
Honaker, Rick Q. ;
Zhang, Wencai ;
Yang, Xinbo ;
Rezaee, Mohammad .
MINERALS ENGINEERING, 2018, 122 :233-240