Anais dos Seminários de Redução, Minério de Ferro e Aglomeração


ISSN 2594-357X

Título

APPLICATION OF AUTOMATED PETROGRAPHY TO CHARACTERIZE COKE QUALITY DISTRIBUTION IN SLOTOVEN & NON-RECOVERY OVEN COKE

APPLICATION OF AUTOMATED PETROGRAPHY TO CHARACTERIZE COKE QUALITY DISTRIBUTION IN SLOTOVEN & NON-RECOVERY OVEN COKE

DOI

10.5151/2594-357X-22192

Downloads

Baixar Artigo 280 Downloads

Resumo

An automated method of measuring the bireflectance of metallurgical coke has been used to determine the quality across two different types of coke beds. Maximum reflectance (Rmax), and Bireflectance (maximum - minimum reflectance), (BIR), are the two measurements required to uniquely characterize and classify the varieties of fused and unfused micro-textures, and vapour-deposited coke. A Fingerprint of coke is shown by the frequency distribution of all maximum reflectance values in a coke (>100 million values per Fingerprint), the mean of which correlates with CSR. Thus, coke quality, determined from Fingerprints and related to CSR, can be measured on 20 mm-sized pieces of coke. This paper describes the spatial variation of these measurements, made on sequential, adjacent samples cut from a slab from the wall to tar-seam in slot-oven coke, and along layering in non-recovery oven coke.

 

An automated method of measuring the bireflectance of metallurgical coke has been used to determine the quality across two different types of coke beds. Maximum reflectance (Rmax), and Bireflectance (maximum - minimum reflectance), (BIR), are the two measurements required to uniquely characterize and classify the varieties of fused and unfused micro-textures, and vapour-deposited coke. A Fingerprint of coke is shown by the frequency distribution of all maximum reflectance values in a coke (>100 million values per Fingerprint), the mean of which correlates with CSR. Thus, coke quality, determined from Fingerprints and related to CSR, can be measured on 20 mm-sized pieces of coke. This paper describes the spatial variation of these measurements, made on sequential, adjacent samples cut from a slab from the wall to tar-seam in slot-oven coke, and along layering in non-recovery oven coke.

Palavras-chave

Automated petrography; Coke quality.

Automated petrography; Coke quality.

Como citar

Pearson, David; Pearson, Richard; Mahoney, Merrick; Scholes., Oliver. APPLICATION OF AUTOMATED PETROGRAPHY TO CHARACTERIZE COKE QUALITY DISTRIBUTION IN SLOTOVEN & NON-RECOVERY OVEN COKE , p. 1020-1030. In: 42º Seminário de Redução de Minério de Ferro e Matérias-primas / 13º Seminário Brasileiro de Minério de Ferro / 6th International Congress on the Science and Technology of Ironmaking, Rio de Jabeiro, 2012.
ISSN: 2594-357X , DOI 10.5151/2594-357X-22192