Image Recognition Method for Defect on Coke with Low-quality Coal

• Published in: ISIJ International 2014/11/15, Vol.54(11), pp.2512-2518
• Main Authors: Saito, Yasuhiro, Kanai, Tetsuya, Igawa, Daisuke, Miyamoto, Yukinori, Matsuo, Shohei, Matsushita, Yohsuke, Aoki, Hideyuki, Nomura, Seiji, Hayashizaki, Hideyuki, Miyashita, Shigeto
• Format: Article
• Language: English
• Subjects: coke; ironmaking; low-quality coal; non-adhesion grain boundary
• ISSN: 0915-1559; 1347-5460
• DOI: 10.2355/isijinternational.54.2512

The image recognition method was proposed to quantify non-adhesion grain boundaries which were considered as a factor of coke strength besides pores, and the correlation between coke strength and the amount of defects evaluated by the method was investigated in comparison with the one by the marking method. Coke with low-quality coal was fractured by a diametral-compression test, and the fracture cross-sections were observed by a scanning electron microscopy (SEM) and a 3D laser scanning microscope (LSM). The marking method and image recognition method were applied to SEM and LSM images, respectively. As a result, the fracture strength measured by the diametral-compression test was linearly decreased with an increase in blending ratio of low-quality coal. In the marking method, most non-adhesion grain boundaries were not detected up to 50% in the blending ratio, and the boundaries increased sharply from 50 to 100% in the blending ratio. On the other hand, in the recognition method, the defects which were composed of both pores and non-adhesion grain boundaries, increased linearly with the blending ratio, and the amount of defects corresponded to coke strength. Therefore, the image recognition method is expected as the quantification technique of defects decreasing coke strength.