Kinetic Energy Calculation in Granite Particles Comminution Considering Movement Characteristics and Spatial Distribution

Profound knowledge of the movement characteristics and spatial distribution of the particles under compression during the crushing of rocks and ores is essential to further understanding kinetic energy release law. Various experimental methods such as high-speed camera technology, the coordinate method, and the color tracking method were adopted to improve the understanding of particles' movement characteristics and spatial distribution in rock comminution. The average horizontal velocities of the four size particles alpha, beta, gamma, and delta are statistically calculated. The descending order of the particles' average velocity is gamma, beta, alpha, and delta. In comparison, the descending order of the particles' kinetic energy is alpha, beta, gamma, and delta. Moreover, the contribution of alpha particles to the total kinetic energy exceeds 70%. The spatial distribution characteristics of coarse and fine particles show different results. The probability of fine particles appearing in the range closer to the center area is greater, while the position of large particles appears to be more random. The color tracking results show that super-large particles generated by crushing are on the specimen's surface, while small particles are generally produced from inside. The above results indicate a connection between the particle generation mechanism, movement characteristics, and spatial distribution in the comminution process.

Automated summary

Research on the movement characteristics and spatial distribution of particles during compression and crushing of rocks and ores is crucial for understanding the law of kinetic energy release. Experimental methods such as high-speed camera technology and color tracking were used to study the particles' behavior. Results showed differences in average velocities and kinetic energy contributions for particles of different sizes and types, as well as distinct spatial distribution patterns for coarse and fine particles.