Pore Connectivity and Dewatering Mechanism of Tailings Bed in Raking Deep-Cone Thickener Process

Chen, Xinming; Jin, Xigao; Jiao, Huazhe; Yang, Yintang; Liu, Juanhong

doi:10.3390/min10040375

Cited by 22 publications

(10 citation statements)

References 42 publications

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“…e key technology of the filling mining method is the preparation of filling slurry (mainly composed of filling aggregate, cementitious material, and water) [4][5][6]. Due to a wide range of sources and low cost, tailings are often used as the main filling aggregate [7,8]. Tailings are derived from the tailing slurry discharged after the mineral processing, and its concentration is normally only 10%∼25%, which means it cannot be directly used to prepare high-concentration filling slurry.…”

Section: Introductionmentioning

confidence: 99%

Study on the Relation between Tailing Particle Size and Tailing Slurry Underflow Concentration

Zou¹,

Liu

2022

Advances in Civil Engineering

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In order to study the effect of the physical properties of tailings on the concentration of tailing slurry underflow, the median particle size, control particle size, and density of the tailings of 9 typical mines were measured. Besides, static settlement test and dynamic thickening test of the tailing slurry of these 9 mines were separately conducted. The test results show that the underflow concentration of the tailing slurry is unrelated to the tailing density but is related to the tailing particle size. The finer the tailing particle size, the lower the underflow concentration. Through the nondimensional regression analysis, 3 relation equations were obtained: number 1 relation equation between the median particle size of tailings and the underflow concentration in the static settlement test, number 2 relation equation between the control particle size of tailings and the change in concentration in the static settlement test, number 3 relation equation between the underflow concentration in the static settlement test and the underflow concentration in the dynamic thickening test under different overflow water solid content conditions. Comparing the calculation results with the test results, it is found that the relative error between the predicted value and the test value does not exceed 6.1%, which has proved that the relation equations derived are convenient and feasible. The underflow concentration of the deep cone thickener can be predicted by merely measuring the particle size of the tailings, which means that the relation equations are highly recommended for wider use and application.

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Section: Introductionmentioning

confidence: 99%

Study on the Relation between Tailing Particle Size and Tailing Slurry Underflow Concentration

Zou¹,

Liu

2022

Advances in Civil Engineering

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“…Tailings is one of the largest industrial solid wastes generated in the mining industry, which has resulted in serious safety and environmental issues (soil pollution, water pollution, and air pollution) [1][2][3]. Cemented paste backfill (CPB) technology has been one of the best practical approaches for water recycling and tailings management in metal mines [4,5]. Shear-induced polymer-bridging flocculation [6][7][8] is widely used in tailings dewatering, which is one of the key processes in CPB [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

A Population Balance Model for Shear-Induced Polymer-Bridging Flocculation of Total Tailings

Ruan

Bürger

et al. 2021

Minerals

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Shear-induced polymer-bridging flocculation is widely used in the solid–liquid separation process in cemented paste backfill, beneficial to water recycling and tailings management in metal mines. A flocculation kinetics model based on Population Balance Model (PBM) is proposed to model the polymer-bridging flocculation process of total tailings. The PBM leads to a system of ordinary differential equations describing the evolution of the size distribution, and incorporates an aggregation kernel and a breakage kernel. In the aggregation kernel, a collision frequency model describes the particle collision under the combined effects of Brownian motions, shear flow, and differential sedimentation. A semi-empirical collision efficiency model with three fitting parameters is applied. In the breakage kernel, a new breakage rate coefficient model with another three fitting parameters is introduced. Values of the six fitting parameters are determined by minimizing the difference between experimental data obtained from FBRM and modeling result through particle swarm global optimization. All of the six fitting parameters vary with flocculation conditions. The six fitting parameters are regressed with the flocculation factors with six regression models obtained. The validation modeling demonstrates that the proposed PBM quantifies well the dynamic evolution of the floc size during flocculation under the given experimental setup. The investigation will provide significant new insights into the flocculation kinetics of total tailings and lay a foundation for studying the performance of the feedwell of a gravity thickener.

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“…Tailings are one of the largest solid wastes in the world, which are widely distributed all over the world. Iron tailings are waste residue discharged from iron ore after beneficiation process, but there is still a lot of space for these solid wastes to be utilized [1,2]. e comprehensive utilization rate of tailings is not high, which is limited by the development of beneficiation technology, the restriction of production equipment, and other scientific and technological factors, so the comprehensive utilization of tailings has become a worldwide problem [3][4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Research on Carbonation Characteristics and Frost Resistance of Iron Tailings Powder Concrete under Low‐Cement Clinker System

Liu

Zhang

et al. 2020

Advances in Materials Science and Engineering

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The accelerated carbonation, natural carbonation, fast freeze-thaw test, and pore structure analysis of C30 and C50 concrete with different proportions of iron tailings powder and slag powder were tested, respectively. The results show that the accelerated carbonation depth and natural carbonation depth of concrete increase with the increase of iron tailings powder content. The prediction model of carbonation depth of iron tailings powder concrete is established by introducing the iron tailings content coefficient and strength influence coefficient. The error between the calculated value of the model and the test value of 28 d curing concrete natural carbonation depth is small, which proves that the model is completely feasible. When iron tailings powder accounts for 50% of mineral admixture, it is helpful to improve the frost resistance of concrete. According to the pore structure analysis, the introduction of iron tailings powder can optimize the pore structure, improve the porosity of harmless and less harmful pores, and thus improve the frost resistance.

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Pore Connectivity and Dewatering Mechanism of Tailings Bed in Raking Deep-Cone Thickener Process

Cited by 22 publications

References 42 publications

Study on the Relation between Tailing Particle Size and Tailing Slurry Underflow Concentration

Study on the Relation between Tailing Particle Size and Tailing Slurry Underflow Concentration

A Population Balance Model for Shear-Induced Polymer-Bridging Flocculation of Total Tailings

Research on Carbonation Characteristics and Frost Resistance of Iron Tailings Powder Concrete under Low‐Cement Clinker System

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