검색결과 : 18건
No. | Article |
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1 |
Methods of coke quality prediction: A review North L, Blackmore K, Nesbitt K, Mahoney MR Fuel, 219, 426, 2018 |
2 |
Models of coke quality prediction and the relationships to input variables: A review North L, Blackmoreb K, Nesbitt K, Mahoney MR Fuel, 219, 446, 2018 |
3 |
Improving the properties of high volatile coking coals by controlled mild oxidation Vega MF, Fernandez AM, Diaz-Faes E, Barriocanal C Fuel, 191, 574, 2017 |
4 |
Coke optical texture as the fractal object Piechaczek M, Mianowski A Fuel, 196, 59, 2017 |
5 |
How coke optical texture became a relevant tool for understanding coal blending and coke quality Flores BD, Borrego AG, Diez MA, da Silva GLR, Zymla V, Vilela ACF, Osorio E Fuel Processing Technology, 164, 13, 2017 |
6 |
Explaining relationships between coke quality index and coal properties by Random Forest method Chelgani SC, Matin SS, Hower JC Fuel, 182, 754, 2016 |
7 |
Recycling tyre wastes as additives in industrial coal blends for cokemaking Fernandez AM, Barriocanal C, Diaz-Faes E Fuel Processing Technology, 132, 173, 2015 |
8 |
The original concept of description of the coke optical texture (Reprinted) Piechaczek M, Mianowski A, Sobolewski A International Journal of Coal Geology, 139, 184, 2015 |
9 |
The original concept of description of the coke optical texture Piechaczek M, Mianowski A, Sobolewski A International Journal of Coal Geology, 131, 319, 2014 |
10 |
The effect of additives on coking pressure and coke quality Fernandez M, Barriocanal C, Alvarez R Fuel, 95(1), 642, 2012 |