Abstract

In order to study the fractal dynamic properties of uranium leach mining and discuss the influence of ore crushing on the dynamics of leach mining, uranium mine ore rocks in southern China were selected as the research object and an acid leaching experiment was performed on the ore samples with different fractal dimensions of 1.1, 1.4, 1.7, 2.0, 2.3 and 2.6. In the column leaching experiment, a PVC pipe with an inner diameter of 112 mm and a height of 1500 mm was used. The uranium content was determined by using titanium trioxide that was placed into a 0.1 mg ml−1 standard uranium solution, and a sampling rate of once daily with a 5 ml volume of leaching solution was adopted after 8 h drenching time. The results show that the flow rate of the leaching solution depends on the distribution of the ore's particle size, that is, a larger fractal dimension results in a smaller flow rate. The concentration of the uranium leaching solution reaches a maximum value which subsequently decreases with time on the third day of the experiment, and it seems that the changes in the uranium concentration tend to be stable at around 15 days. Moreover, the concentration seems to increase with the increasing fractal dimension, and the fractal dimension of the ore particle size has a significant impact on the leaching kinetics. When the fractal dimension is between 1.1 and 2.6, the uranium dissolution rate, K, increases with the increasing fractal dimension. The kinetic reaction of the uranium leaching is a liquid–solid one, which is controlled by chemical reactions in the earlier phase. While the middle reaction phase is mainly chemical-diffusion reaction coupling, and the latter part of the reaction is controlled by diffusion. As the fractal dimension increases, the liquid–solid reaction controlled by diffusion appears at earlier phases. When the fractal dimension is greater than 2.0, the time of entering the diffusion control phase only changed little with the increasing of the fractal dimension. At last, a fractal dimension of 2.0 is suggested for the acid leaching of uranium ore crushing.

Highlights

  • At present, leach mining is a new type of deposit mining technology that includes a solid –liquid transfer process transmitting useful elements from the ore to the leaching solution

  • Based on the distribution of the fractal dimension of Mellado et al [20], Song Jian-bin et al [20] improved their dynamic model of ore heap leaching and established a uranium ore heap leaching fractal dynamic model that was verified by column leaching experiments, and their results were better than those of the aforementioned study

  • The influence of fractal distribution on uranium leaching was studied by Zeng Sheng et al [22,23], who showed that the shape and size of different rock particles had their own specific fractal characteristics, and the fractal dimension had a strong relationship with the leaching rate

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Summary

Introduction

Leach mining is a new type of deposit mining technology that includes a solid –liquid transfer process transmitting useful elements from the ore to the leaching solution. Understanding seepage related to the leaching solution requires an understanding of fluid mechanics, where kinetic conditions greatly influence the leach mining process. The influence of fractal distribution on uranium leaching was studied by Zeng Sheng et al [22,23], who showed that the shape and size of different rock particles had their own specific fractal characteristics, and the fractal dimension had a strong relationship with the leaching rate. A sandstone uranium deposit in the Yili basin was studied by Tan Kai-xuan et al [24,25], and the results showed that the geological geochemical characteristics of ore had a significant influence on uranium leaching dynamics, and the effects of the uranium leaching reaction rate were mainly controlled by diffusion, while the influence of surface chemical reactions was relatively small. Under the conditions of different fractal dimensions, Zhao He-Yong et al [27] performed a dynamic experiment, and they found that the dissolution rate increased with the increasing fractal dimension, they fitted the corresponding fractal dynamic equation to experimental results for further analysis

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