화학공학소재연구정보센터
검색결과 : 18건
No. Article
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