Oil agglomeration is an alternative technique for cleaning and upgrading low-rank coal or coal slime with a high ash content. The high cost of bridging fluid makes it difficult to apply oil in the process of agglomeration. In order to overcome this problem, was conducted to improve the agglomeration process using waste oils from different sectors (waste motor oil, waste sunflower oil). Another aim of this study is to optimize the operating conditions. The effect of operational parameters such as stirring speed, agglomeration time, oil concentration, and type of oil were analyzed. The process was evaluated according to % ash rejection (% AR) and % combustible matter recovery (% CMR). The operating conditions (4-variable) were optimized using the Central Composite Design of the Response Surface Methodology. Statistical analyses were performed with ANOVA and oil concentration was found to be the most important parameter. Oil agglomeration tests, the recovery of combustible matter was found to be in the range of 48.46- 77.76 %, and the ash rejection was in the range of 63.54- 91.61 %. The correlation coefficient between the actual and predicted values for %CMR and %AR was found to be 0.92 and 0.94 in oil agglomeration experiments. These result demonstrated that the accuracy of the model for estimating combustible material recovery and ash rejection under the studied experimental parameters. The optimal conditions found to be stirring speed 1500 rpm, agglomeration time 10 min, oil concentration 27 %, and oil type waste sunflower oil.
Anahtar Kelimeler: Waste motor oil, waste sunflower oil, central composite design