Economic potential assessment of rare earth extraction sequence based on rule-based framework

被引:0
|
作者
Yunus, M. Y. M. [1 ]
Ismail, N. A. [1 ]
Aziz, B. A. [2 ]
机构
[1] Univ Malaysia Pahang, Rare Earth Res Ctr, Gambang 26300, Pahang, Malaysia
[2] Univ Malaysia Kelantan, Fac Bioengn & Technol, Jeli 17600, Kelantan, Malaysia
关键词
Rare Earth Element; Solvent Extraction Selection; Separation Factor; Art and Science REE Model; Rule-base Method;
D O I
10.15282/jmes.12.4.2018.20.0366
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Rare Earth Element (REE) is a unique group of metals which mainly comprises seventeen (17) elements, which fifteen (15) elements from the lanthanides group plus Scandium and Yttrium. This REE can be divided into heavy rare earth element (HREE) and light rare earth element (LREE) categories. During the initial extraction stage, the LREE is separated from HREE of the original ore and the sub-separations are then conducted subsequently corresponding to the respective categories. However, the separation difficulty becomes rather critical in a certain context, whenever the HREE is the major element to be extracted relative to LREE. In addition, there are no systematic guidelines procedures available to determine which specific separation pathway is more economically feasible among the various extraction options that exist. Thus, this study proposes a systematic quantitative rule-based framework, by excel modelling, in assessing comprehensively the economic potential of any separation model of REE processing that considered, whereby the standard characterization of monazite mineral composition is utilized as the main case study. This work also adopts the separation factor value of HDEHP-HCL as well as EHEHPA-HCL as the main extraction platforms. The findings suggest that the former extractant is effective for the extraction of light REE (LREE), while the latter incline to prefer the medium and heavy REE (MREE and HREE) particularly on the ground of separation stages factor. In light of the initial results, this study also proposes a hybrid approach in performing the complete optimal REE separation that specifically based on the sequence of 'Art versus Science' (AvsS) structure. These results have demonstrated that the proposed quantitative rule-based framework able to determine the optimal separation pathway provided the complete separation factor values and the mineral characterization of REE are available for assessment. Thus, this new method is suitably applied as a tool or guidelines in the feasibility study of any processing design for REE separation.
引用
收藏
页码:4263 / 4274
页数:12
相关论文
共 50 条
  • [31] Sequential Covering Rule Learning for Language Rule-based Aspect Extraction
    Ruskanda, Fariska Zakhralativa
    Widyantoro, Dwi Hendratmo
    Purwarianti, Ayu
    2019 11TH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER SCIENCE AND INFORMATION SYSTEMS (ICACSIS 2019), 2019, : 229 - 234
  • [32] Interpretability Assessment of Fuzzy Rule-Based Classifiers
    Mencar, Corrado
    Castiello, Ciro
    Fanelli, Anna Maria
    FUZZY LOGIC AND APPLICATIONS, 2009, 5571 : 155 - 162
  • [33] A fuzzy rule-based approach to drought assessment
    Pesti, G
    Shrestha, BP
    Duckstein, L
    Bogardi, I
    WATER RESOURCES RESEARCH, 1996, 32 (06) : 1741 - 1747
  • [34] Rule-based Text Extraction for Multimodal Knowledge Graph
    Norabid, Idza Aisara
    Fauzi, Fariza
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2022, 13 (05) : 295 - 304
  • [35] A Rule-based Approach for Arabic Temporal Expression Extraction
    Lhioui, Chahira
    Zouaghi, Anis
    Zrigui, Mounir
    2017 INTERNATIONAL CONFERENCE ON ENGINEERING & MIS (ICEMIS), 2017,
  • [36] Uncertainty Management in Rule-Based Information Extraction Systems
    Michelakis, Eirinaios
    Krishnamurthy, Rajasekar
    Haas, Peter J.
    Vaithyanathan, Shivakumar
    ACM SIGMOD/PODS 2009 CONFERENCE, 2009, : 101 - 114
  • [37] Semantic rule-based information extraction for meteorological reports
    Mengmeng Cui
    Ruibin Huang
    Zhichen Hu
    Fan Xia
    Xiaolong Xu
    Lianyong Qi
    International Journal of Machine Learning and Cybernetics, 2024, 15 : 177 - 188
  • [38] Rule-Based Attractions Describe Paragraph Information Extraction
    Feng, Xiaolan
    Zhao, Xiaobing
    2018 INTERNATIONAL CONFERENCE ON ROBOTS & INTELLIGENT SYSTEM (ICRIS 2018), 2018, : 387 - 390
  • [39] Semantic rule-based information extraction for meteorological reports
    Cui, Mengmeng
    Huang, Ruibin
    Hu, Zhichen
    Xia, Fan
    Xu, Xiaolong
    Qi, Lianyong
    INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2024, 15 (01) : 177 - 188
  • [40] Automatic extraction of definitions in Portuguese: A rule-based approach
    Del Gaudio, Rosa
    Branco, Antonio
    PROGRESS IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS, 2007, 4874 : 659 - 670