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    Recovery of unburned carbonaceous matter (UCM) from sugar mill bottom ash
    (Taylor and Francis Inc., 2019) Katircioglu-Bayel D.; Serencam H.; Uçurum M.
    Millions of tons of coal fly and bottom ash are produced each year in many countries including Turkey. Coal combustion which is the main source of energy in sugar mill and many other industries produce massive quantities of waste. The present study aims to separate the unburned carbonaceous matter (UCM) from the bottom ash of Bor, Nigde-Turkey sugar plant has been studied using the mechanical flotation technique. For this purpose, the performances of three classical oils were investigated and then chemical parameters such as sodium silicate (Na 2 SiO 3 ), collector (fuel-oil) and frother (pine-oil) were systematically examined by using Yates’ statistical technique. A product with 41.58% combustible grade at 87.44% recovery was obtained at 0 g/t sodium silicate, 7464 g/t fuel-oil, 888 g/t pine-oil, 15% pulp density, 1200 rpm impeller speed and natural pH. The results obtained from the experiments indicated that it was possible to enrich the bottom ash by using conventional flotation. © 2019, © 2019 Taylor & Francis Group, LLC.
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    The correlations between the mean particle size in grinding and physico-mechanical properties of igneous rocks
    (Grup Matbaacilik, 2009) Kahraman S.; Uçurum M.; Yo?urtçuo?lu E.
    Igneous rocks are ground for different purposes. Mean particle size (d50) can be a quantitative measure of grindability at the same grinding conditions. The prediction of d50 is useful for the mining engineers. For this reason, to investigate the relations between the d50 and physico-mechanical properties of igneous rocks, five different rocks including granite, basalt and andesite were tested in the laboratory. d50 values obtained from the size distribution plots were correlated with the corresponding physico-mechanical properties. Good correlations between the d50 and physico-mechanical properties could not be found using the simple regression analysis. However, the prediction equations having strong correlation coefficients were developed for the d50 using the multiple regression analysis. It was concluded that the d50 of igneous rocks can be predicted from the equations developed from the multiple regression analysis especially for preliminary investigations. The derived equations including index test values are also important for the practical consideration. Further research is necessary to check the validity of the derived equations for the other rock types.