- Title
- Models of coke quality prediction and the relationships to input variables: a review
- Creator
- North, Lauren; Blackmore, Karen; Nesbitt, Keith; Mahoney, Merrick R.
- Relation
- Fuel Vol. 219, Issue 1 May 2018, p. 446-466
- Publisher Link
- http://dx.doi.org/10.1016/j.fuel.2018.01.062
- Publisher
- Elsevier
- Resource Type
- journal article
- Date
- 2018
- Description
- Within the coke making industry, the ability to accurately predict the quality of the coke produced from a variety of global coal basins is critical in both coal selection and blast furnace control. However, due to the complexity of the coke making process, the prediction of the resulting coke properties is a difficult task. This review analysed published models for the prediction of various measures of coke quality, with a particular emphasis on coke strength after reaction (CSR) and the related coke reactivity index (CRI). Focus was placed on the coal parameters selected as model inputs, and their reported behaviour with respect to the predicted coke quality. This review draws similar conclusions to previous analysis, namely there is a limited range of model applicability beyond the specific range of coals for which each model was derived. This conclusion is extended to suggest that the inconsistent utilisation of key attributes contributes to these limitations.
- Subject
- coking coal; cokemaking; quality; prediction; strength; reactivity
- Identifier
- http://hdl.handle.net/1959.13/1462778
- Identifier
- uon:46549
- Identifier
- ISSN:0016-2361
- Language
- eng
- Reviewed
- Hits: 407
- Visitors: 407
- Downloads: 0
| Thumbnail | File | Description | Size | Format |
|---|