An attempt to minimize the cost of extracting lithium from boron clays through robust process design

Buyukburc, A
Köksal, Gülser
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 Bigadic boron clay fields in Turkey. However, the method is generally applicable to other cases also.


Robust design of lithium extraction from boron clays by statistical design and analysis of experiments
Büyükburç, Atıl; Köksal, Gülser; Department of Industrial Engineering (2003)
In this thesis, it is aimed to design lithium extraction from boron clays using statistical design of experiments and robust design methodologies. There are several factors affecting extraction of lithium from clays. The most important of these factors have been limited to a number of six which have been gypsum to clay ratio, roasting temperature, roasting time, leaching solid to liquid ratio, leaching time and limestone to clay ratio. For every factor, three levels have been chosen and an experiment has be...
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This thesis analyzes data collection tools and methods in domestic environments for smart product development processes. The aim of the study is to create a method for supporting data collection studies in user research of smart products at domestic environments. The study examines the utilization of information and communication technologies in ethnographic data collection methods at domestic environments with a qualitative approach. Two case studies are conducted to understand and analyze the effects of c...
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This study presents an artificial neural network (ANN) model to predict the Hot Mix Asphalt (HMA) volumetrics of mixtures prepared by following Marshall mix design procedure. The input data set of the model is determined to be the aggregate gradation, bulk specific gravity of aggregates, and binder content of the mixture based on the available data. The proposed ANN model utilizes one-layer Levenberg-Marquardt backpropagation to predict the theoretical maximum specific gravity of the loose mixture (Gmm) and...
A Methodology for cross-resolution modeling in DEVS using event-B refinement
Kara, Ahmet; Oğuztüzün, Mehmet Halit S.; Alpdemir, Mahmut Nedim; Department of Computer Engineering (2014)
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Design of economical noise array experiments for a partially controlled simulation environment
Köksal, Gülser (1998-12-01)
Design of economical experiments for estimation of a response function's moments in a partially controlled laboratory environment is studied. The noise factors affecting the response are assumed to be statistically independent and normally distributed. It is also assumed that if a factor is set to a specific level in the experimentation, its actual value is also a normally distributed random variable with a smaller variance. Experimental design levels of the factors are found by matching first few moments o...
Citation Formats
A. Buyukburc and G. Köksal, “An attempt to minimize the cost of extracting lithium from boron clays through robust process design,” CLAYS AND CLAY MINERALS, pp. 301–309, 2005, Accessed: 00, 2020. [Online]. Available: