Relationship between the tensile strength of irregularly shaped coal particles and various fuel properties. (15th January 2019)

• Record Type: Journal Article
• Authors: Zhong, Shan; Baitalow, Felix; Reinmöller, Markus; Meyer, Bernd
• Is Part Of: Fuel. Volume 236(2019)
• Page Start: 92
• Page End: 99
• Publication Date: 2019-01-15
• Subjects: Coal particle -- Tensile strength -- Particle size -- Fuel properties -- Ultimate and proximate analysis -- Ash content -- Carbon content; Fuel -- Periodicals; Coal -- Periodicals; Coal; Fuel; Periodicals; 662.6
• DOI: 10.1016/j.fuel.2018.08.140
• Languages: English
• ISSNs: 0016-2361

Abstract

Highlights: The tensile strength of small and irregularly shaped coal particles is measured. The size effect on the tensile strength of different coals is approved. Correlations between the tensile strength and various coal properties are analyzed. A suitable prediction method of the tensile strength of coal particles is proposed. Abstract: To gain a better understanding of inner-stress-induced coal particle fragmentation during coal utilization processes, the tensile strength of small and irregularly shaped coal particles was investigated, using eleven kinds of coals in the size range of 0.8–6.3 mm. It was found that the tensile strength significantly depends on particle size. As the particle size increases, the tensile strength asymptotically decreases, and the correlation between them could be described by a power function, requiring only different parameters for different coals. In addition, the effects of various fuel properties on the tensile strength are discussed. Coals with medium volatile matter content show the highest tensile strength, and the tensile strength generally increases with rising ash content and decreasing porosity. Based on the obtained results, a simplified model for the approximation of the tensile strength is developed involving the particle size and different fuel properties. A correlation analysis has exhibited that the number of required fuel parameters can be reduced to only two independent ones. This makes the tensile strength of coal particles directly predictable from the proximate and ultimate analysis of coals. With the aid of this prediction model, a better description of conversion processes may be achieved.