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    Determination of optimum washing conditions for a lignite coal based on ash and sulfur content
    (2014) Cebeci, Yakup; Ulusoy, Uğur; Sönmez, İbrahim
    This study deals with the maximization of composite yield subjected to multiple product constraints simultaneously based on float-sink data of a lignite coal from Yozgat-AyrIdam district of Turkey by using equal incremental product quality approach. Solver and Mathcad were used for determination of optimum separation densities for the coarser size fraction (130 × 18 mm) and the finer size fraction (18 × 0.5 mm) by Dense Medium Bath (DMB) and Dense Medium Cyclone (DMC), respectively. Four different cases were analyzed for the incremental product quality approach. In the first case, composite yield was maximized to 87.45% for the target composite ash of 18.26% with sulfur content of 0.98% when the incremental ashes were equalized by Solver. In the second case, yield maximized to 76.55% for the target sulfur of 0.83% with an ash content of 14.65% by Solver equalization of the incremental sulfur. In the third case, multiple product quality (ash and sulfur) was employed simultaneously by Solver. Yield was maximized only to 66.87% with ash and sulfur content of 11.12% and 0.74%, respectively. In the fourth case, multiple constraints were subjected to the maximization of the yield simultaneously using Mathcad. Yield was maximized to 66.33% with ash and sulfur content of 11.00% and 0.74%, respectively. The yield maximization was successfully achieved using Solver and Mathcad based on multiple product quality (ash and sulfur) constraints simultaneously as well as single product quality constraint. © 2014 Elsevier Ltd. All rights reserved.
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    Öğe
    Optimization of coal flocculation with an anionic flocculant using a Box-Wilson statistical design method
    (Oficyna Wydawnicza Politechniki Wroclawskiej, 2014) Sönmez, İbrahim; Cebeci, Yakup; Şenol, Dilek
    In this study, the Box-Wilson statistical experimental design method was employed to evaluate suspension pH, salt (CaCl2·2H2O) concentration and anionic flocculant (A-150) amount in flocculation of coal. Response function coefficients were determined by the regression analysis of experimental data and the predictions were found to be in good agreement with the experimental results. The optimum pH, salt (CaCl2·2H2O) concentration and anionic flocculant (A-150) amount were determined as 9.8, 0.0009 M and 791 g/Mg respectively, when minimum turbidity and maximum settling rate are considered.