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An Attempt to Minimize the Cost of Extracting Lithium from Boron Clays Through Robust Process Design

Published online by Cambridge University Press:  01 January 2024

Atil Büyükburç
Affiliation:
Eti Mine Works, R&D Department, Güvercinlik, 06377 Ankara, Turkey
Gülser Köksal
Affiliation:
Middle East Technical University, Industrial Engineering Department, 06531 Ankara, Turkey
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Abstract

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In this study a robust design method is developed for extracting Li from boron (B) clays with the aim of minimizing cost and maximizing productivity. Lithium is commercially extracted from brines and certain minerals. Its extraction from clays has previously been found to be expensive, a major part of the extraction cost being attributed to the raw materials used. In this study, raw materials from lower-cost resources are used without applying any standardization to them and this might increase variation in the results. To minimize the variation, and achieve high extraction levels, robust design, statistical design and analysis of experiments, and response surface methodologies are utilized. As a result, consistently higher extraction levels have been achieved compared to previous studies. The experiments were conducted using the Bigadiç boron clay fields in Turkey. However, the method is generally applicable to other cases also.

Type
Research Article
Copyright
Copyright © The Clay Minerals Society 2005

References

Abraham, D., (2002) Advances in lithium-ion battery research and technology JOM 54 3 1819 10.1007/BF02822612.Google Scholar
Ataman, G. and Baysal, O., (1978) Clay mineralogy of Turkish borate deposits Chemical Geology 22 233247 10.1016/0009-2541(78)90033-5.Google Scholar
Beşkardeş, O. Bayhan, H. and Ersayin, S., (1992) Bigadiç killerindeki lityum mineralleri potansiyellerinin araştirilmasi ve değerlendirilmesi (Investigation and evaluation of lithium potentials in Bigadiç clays) Turkey (in Turkish) Hacettepe University.Google Scholar
Box, G.E.P. and Draper, N.R., (1987) Empirical Model Building and Response Surfaces. New York Wiley.Google Scholar
Büyükburç, A. and Köksal, G., (2004) Robust design of lithium extraction from boron clays using statistical design and analysis of experiments. .Google Scholar
Crocker, L. and Lien, R.H., (1988) Lithium and its extraction from low grade Nevada clays. .Google Scholar
Davidson, C.F., (1981) Recovery of lithium from clay by selective chlorination. .Google Scholar
Del Castillo, E. and Montgomery, D.C., (1993) A nonlinear programming solution to the dual response problem Journal of Quality Technology 25 199204 10.1080/00224065.1993.11979454.Google Scholar
Edlund, V.E., (1983) Lime-gypsum processing of McDermitt Clay for lithium recovery. .Google Scholar
Fathi, Y., (1991) A nonlinear programming approach to the parameter design problem European Journal of Operational Research 53 371381 10.1016/0377-2217(91)90070-C.Google Scholar
Fishwick, J.H., (1974) Application of Lithium in Ceramics. Massachusetts Cahners Publishing Company, Boston.Google Scholar
Fitzgerald, J.P. and Kendall, T., (1996) Hectorite: restricted occurrence — diverse applications Industrial Clays 2325.Google Scholar
Khoei, A.R. Masters, I. and Gethin, D.T., (2002) Design optimization of aluminum recycling processes using Taguchi technique Journal of Materials Processing Technology 127 96196 10.1016/S0924-0136(02)00273-X.Google Scholar
Koolen, J.L.A., (1998) Simple and robust design of chemical plants Computers and Chemical Engineering 22 S255S262 10.1016/S0098-1354(98)00062-3.Google Scholar
Lien, R.H., (1985) Extraction of lithium from a montmorillo- nite-type clay. .Google Scholar
Light Metals, Platts Metals Week (2004) 75 24 23.Google Scholar
Lithium battery market set to grow again, Metals Week (2004) 75 21 12.Google Scholar
Luenberger, D.G., (1989) Linear and Nonlinear Programming. USA Addison-Wesley, Massachusetts.Google Scholar
May, J.T. Witsowsky, D.S. and Siedel, D.C., (1980) Extracting lithium from clays by roast-leach treatment. .Google Scholar
MINITAB Inc., MINITAB Statistical software. (2000).Google Scholar
Montgomery, D.C., (2001) Design and Analysis of Experiments. New York Wiley.Google Scholar
Mordoğan, H. Helvaci, C. and Malayoğlu, U., (1995) Existence of lithium in boron clays and lakes, and their evaluation possibilities Endüstriyel Hammaddeler Sempozyumu Izmir (Industrial Raw Materials Symposium) 185196.Google Scholar
Myers, R.H. Khuri, A.I. and Vining, G., (1992) Response surface alternatives to the Taguchi robust parameter design approach The American Statistician 46 131139.Google Scholar
Nair, V.N., (1992) Taguchi’s parameter design: a panel discussion Technometrics 34 2 127161 10.1080/00401706.1992.10484904.Google Scholar
Ober, A.J., (2003) Lithium Minerals Yearbook. .Google Scholar
Phadke, M.S., (1989) Quality Engineering Using Robust Design. USA Prentice-Hall, Englewood Cliffs, New Jersey.Google Scholar
Prices, Industrial Minerals (2004) 441 94.Google Scholar
Saller, M. and O’Driscoll, M., (2000) Lithium takes charge — supply & demand reviewed Industrial Minerals 3747.Google Scholar
Srinivasan, R. and Chaudhary, A., (1990) Applying numerical Taguchi optimization to metal forming Journal of the Minerals Metals and Materials Society 42 2223 10.1007/BF03220867.CrossRefGoogle Scholar
Taguchi, G., (1986) Introduction to Quality Engineering: Designing Quality into Products and Processes. New York Kraus International Publication, White Plains.Google Scholar
Vining, G.G. and Myers, R.H., (1990) Combining Taguchi and response surface philosophies: a dual response approach Journal of Quality Technology 22 3845 10.1080/00224065.1990.11979204.Google Scholar