Reprint of “The original concept of description of the coke optical texture”

Piechaczek, M.; Mianowski, A.; Sobolewski, A.

doi:10.1016/j.coal.2014.10.007

Cited by 15 publications

(12 citation statements)

References 24 publications

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“…The petrographic analysis of hard coals, including a maceral group analysis and determination of the mean random vitrinite reflectance, was performed according to ISO 7404:2009. Coke optical anisotropy was evaluated using the fibrosity index W x (according to the method described by Piechaczek et al [40]). For this purpose, determination of the textural components of coke was carried out according to ASTM D5061-07.…”

Section: Methodsmentioning

confidence: 99%

“…Coke optical anisotropy corresponds with coke reactivity (CRI) and strength (CSR). Based on the analysis of optical textures, appropriate indicators can be determined to make the interpretation of results clearer, e.g., OTI (optical texture index) or W x (fibrosity index) [40,[54][55][56]. In this study, the fibrosity index W x was used.…”

Section: Coke Optical Anisotropymentioning

confidence: 99%

“…To the best of the authors' knowledge, there is a lack of information about the possibility of producing blast furnace coke with the use of a certain amount of lignite. In particular, this gap concerns the impact of lignite addition on the most important parameters currently used for coke quality evaluation-NSC (Nippon Steel Corporation), coke reactivity index (CRI) and coke strength after reaction (CSR) [37][38][39][40]. Furthermore, there is a lack of data on the impact of lignite addition on the textural and structural properties of coke, which are crucial for coke quality parameters.…”

Section: Introductionmentioning

confidence: 99%

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Use of Alternative Raw Materials in Coke-Making: New Insights in the Use of Lignites for Blast Furnace Coke Production

2020

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This paper presents the results of studies on the possibility of using lignite to produce blast furnace coke. The aim of the investigation was to evaluate the influence of lignite addition (direct addition or incorporated into briquettes) on the textural, structural and quality parameters (NSC-CRI and CSR) of blast furnace coke. It was found that the introduction of lignite in briquettes (4.5% addition) allows coke to be produced that is characterized by equally high NSC parameters as for coke obtained without lignite addition for standard top-charged operation.

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Section: Methodsmentioning

confidence: 99%

Section: Coke Optical Anisotropymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Use of Alternative Raw Materials in Coke-Making: New Insights in the Use of Lignites for Blast Furnace Coke Production

2020

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“…8 Coke structures can take the form of anisotropic and isotropic structures. 9 Anisotropic cokes are favored over isotropic cokes for several reasons. While isotropic cokes have properties in the same direction, anisotropic cokes properties vary with different orientations.…”

Section: Introductionmentioning

confidence: 99%

Formation of Metallurgical Coke within Minutes through Coal Densification and Microwave Energy

Williams

Ure²,

Stevens

et al. 2019

Energy Fuels

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This paper shows how feedstock densification gives rise to a step change in the time required to create a metallurgical grade coke using microwave energy. Five densified coking and noncoking coals were heated in a multi-mode microwave 2450 MHz cavity for varying treatment times (2-20 minutes) with a fixed power input (6 kW). Proximate analysis, intrinsic reactivity, coke reactivity, dielectric properties, and petrographic analysis of the coals and microwave produced lump cokes were compared to a commercial lump coke. Densifying the sample prior to microwave treatment enabled a dramatic acceleration of the coking process when combined with targeted high microwave energy densities. It was possible to form fused coke lump structures with only 2 minutes of microwave heating compared to 16-24 hours via conventional coking. Anisotropic coke morphologies (lenticular and circular) were formed from non-coking coal that are not possible with conventional coking and increasing treatment time improved overall coke reflectance. Three of the coals produced coke with equivalent coke reactivity index values of 20-30, which are in the acceptable range for blast furnaces. The study demonstrated that via this process, non-coking coals could potentially be used to produce high quality cokes, potentially expanding the raw material options for metallurgical coke production.

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“…Macerals of coking coal closely relate to its characteristics, such as coke ability, caking ability, and thermal crushing performance, which directly influence the optical texture component distribution and quality of the coke [1][2][3]. Automatic classification and identification of different macerals in coal are of great significance for the effective evaluation of coal process properties [4].…”

Section: Introductionmentioning

confidence: 99%

The Classification of Inertinite Macerals in Coal Based on the Multifractal Spectrum Method

et al. 2019

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Considering the heterogeneous nature and non-stationary property of inertinite components, we propose a texture description method with a set of multifractal descriptors to identify different macerals with few but effective features. This method is based on the multifractal spectrum calculated from the method of multifractal detrended fluctuation analysis (MF-DFA). Additionally, microscopic images of inertinite macerals were analyzed, which were verified to possess the property of multifractal. Simultaneously, we made an attempt to assess the influences of noise and blur on multifractal descriptors; the multifractal analysis was proven to be robust and immune to image quality. Finally, a classification model with a support vector machine (SVM) was built to distinguish different inertinite macerals from microscopic images of coal. The performance evaluation proves that the proposed descriptors based on multifractal spectrum can be successfully applied in the classification of inertinite macerals. The average classification precision can reach 95.33%, higher than that of description method with gray level co-occurrence matrix (GLCM; about 7.99%).

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Reprint of “The original concept of description of the coke optical texture”

Cited by 15 publications

References 24 publications

Use of Alternative Raw Materials in Coke-Making: New Insights in the Use of Lignites for Blast Furnace Coke Production

Use of Alternative Raw Materials in Coke-Making: New Insights in the Use of Lignites for Blast Furnace Coke Production

Formation of Metallurgical Coke within Minutes through Coal Densification and Microwave Energy

The Classification of Inertinite Macerals in Coal Based on the Multifractal Spectrum Method

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