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The mobile factors of cracked ore in vibrating-ore draw shafts were analyzed. The results show that the mobile coefficient of cracked ores will be mainly influenced by the combination of ore physical factors if the structure dimension and parameters of vibrating ore-draw shafts are sure. It decreases with increasing the cohesion, lump content, lump size and powder content and increases with increasing the porosity. The coefficient decreases with increasing the moisture content, but increases after the moisture content reaches a certain value. Uniform grain leads to better mobility, non-uniform grain leads to worse mobility. The value of the mobile coefficient should be in a range of 0.3-1.1 when designing the vibrating ore-draw shafts. According to correlation degree of grey system (theory,) the effects of factors on the mobility of cracked ore are given in the weight decreasing consequence as follows: moisture content, lump content, distribution of grain size, lump size, porosity, cohesion and powder ore content. It is unreasonable to neglect any one because the values of their weights are not obvious.
The mobile factors of cracked ore in vibrating-ore draw shafts were analyzed. The results show that the mobile coefficient of cracked ores will be primarily influenced by the combination of ore physical factors if the structure dimension and parameters of vibrating ore-draw shafts are sure It decreases with increasing the cohesion, lump content, lump size and powder content and increases with increasing the porosity. The coefficient decreases with increasing the moisture content, but increases after the moisture content reaches a certain value. Uniform grain leads to better mobility, The value of the mobile coefficient should be in a range of 0.3-1.1 when designing the vibrating ore-draw shafts. According to correlation degree of gray system (theory,) the effects of factors on the mobility of cracked ore are given in the weight decreased consequence as follows: moisture content, lump content, distribution of grain size, lump size, porosity, coh esion and powder ore content. It is unreasonable to neglect any one because the values of their weights are not obvious.