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Volumn 86, Issue 1, 2004, Pages 1-11

Prediction of coke quality at Baosteel

Author keywords

Coal property; Coke quality; Prediction

Indexed keywords

BLAST FURNACES; BLENDING; CATALYSIS; COAL; MATHEMATICAL MODELS; MECHANICAL PERMEABILITY; MINERALS; OPTIMIZATION; PULVERIZED FUEL; QUALITY CONTROL; THERMAL EFFECTS;

EID: 4344682927     PISSN: 03783820     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0378-3820(03)00058-4     Document Type: Article
Times cited : (50)

References (9)
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  • 2
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  • 4
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    • Predicting coke strength after reaction of blend in the sole-heated oven
    • Toronto, Canada
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    • (1998) 57th Ironmaking Conference Proceedings , vol.57 , pp. 1061
    • Angeleri, R.1
  • 5
    • 4344663475 scopus 로고    scopus 로고
    • Study on the quality predication methods for coke for Jiuquan Iron & steel Co.
    • in Chinese, with English abstract
    • Zhou S., Zhou S., Cheng A. Study on the quality predication methods for coke for Jiuquan Iron & steel Co. Fuel & Chemical Processes. 4:1999;3. (in Chinese, with English abstract).
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  • 6
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  • 7
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    • Effect of minerals in coal on solution loss reaction of coke
    • in Chinese, with English abstract
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  • 8
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    • Relation between mineral catalytic index (MCI) and reactivity of coke
    • in Chinese, with English abstract
    • Yang J., Feng A., Du H. Relation between mineral catalytic index (MCI) and reactivity of coke. Iron and Steel. 1:2001;1. (in Chinese, with English abstract).
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  • 9
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    • Application of coal Macerals at Baosteel
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.