Abstract
Hyper-Coal (HPC) is produced by extracting a coal in 2-ring aromatic solvent and separating insoluble component (Residual-Coal:RC) from soluble component by gravity settling separation. HPC has excellent thermoplasticity and large potential for coke additive to make a strong coke. The yield of HPC depends on the coal solubility. And the thermoplasticity performance of HPC depends on the separation efficiency of settling separation processes. Separation efficiency depends on the settling velocity of RC. So, it is important for HPC process not only to have a high solubility but also to perform a high settling velocity of RC. In this study, we focused on the effect of classification of coal particle size to obtain the efficient process performance. The classified particle groups were examined in the extraction and settling performance. It was shown that the each group of particle size has different behavior of dissolving. The fine particle group performed lower extraction yield due to the lower VM and the atomic H/C ratio characteristics. In addition its settling velocity was different with each particle size group. It was thought that the aggregation behavior depends on particle interactions.