Citation: | ZHOU Qiang, WANG Yifan, XIAO Qingfei, LIU Xiangyang, SHAO Yunfeng, HUANG Shouxiang, WANG Qingkai, ZOU Hai. Experimental Study of the Strength Distribution of Irregular Copper−molybdenum Ore Particles[J]. Conservation and Utilization of Mineral Resources, 2023, 43(4): 33-42. doi: 10.13779/j.cnki.issn1001-0076.2023.04.004 |
The fracture of irregular ore particles is a common phenomenon in mineral processing. The strength distribution of particles determines the crushing characteristics of ore. In order to quantitatively analyze the strength distribution of irregular particles, the maximum crushing force and fracture energy in the crushing process were determined by quasi−static uniaxial compression tests on five different sizes of copper−molybdenum ore particles. Three common statistical models were selected to fit the particle strength under different definitions(crushing force, crushing stress, breakage energy and breakage specific energy), and their quantitative relationships with particle size and material properties were studied. The test results show that the Weibull model was more suitable for describing the strength distribution of copper−molybdenum ore particles than the other two models. The dispersion degree D of the strength distribution in the model was related to the material properties and had a weak function relationship with the particle size. F63.20 and E63.20 were proportional to the particle size, while σ63.20 and Em63.20 decreased with the increase of particle size in a power function law. The relationship between particle strength (maximum breaking force−breaking energy and stress−breaking specific energy) under different definitions is only related to material properties, not particle size. The slopes were 1.49 and 0.67 in the double logarithmic coordinate system, respectively.
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Testing device
Two kinds of force−displacement curves of single copper−molybdenum particle crushing
Fracture energy defines the diagram
Strength distribution of particles under different definitions
Comparison of experimental data with three statistical model fits
Weibull model fitting test data of materials with different sizes
Logistic model fitting test data of materials with different sizes
Lognormal model fitting test data of materials with different sizes
Correlation coefficient error analysis plot
Relations between F63.20 and E63.20 of copper−molybdenum ore particles and particle size
Relations between σ63.20 of copper−molybdenum ore particles and particle size
Relations between Em63.20 of copper−molybdenum ore particles and particle size
Relations between breakage energy and maximum crushing force of copper−molybdenum ore particles
Relations between crushing stress and breakage specific energy of Cupromolybdenum ore particles