Xiaokang Yan

Dr. Xiaokang Yan

orcid

Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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17 December 2018 in Minerals
Verified
Journal Article
Open access
PDF file
LYLu Yang
Lu Yang
ZZZhenna Zhu
Zhenna Zhu
XQXin Qi
Xin Qi
Xiaokang YanXiaokang Yan
Xiaokang Yan
HZHaijun Zhang
Haijun Zhang
Pulp preconditioning using a stirred tank as a pretreatment process is vital to the flotation system, which can be used to improve the flotation efficiency of mineral particles. The kinetic energy that is dissipated in the stirred tank could strengthen the interaction process between mineral particles and flotation reagents to improve the flotation efficiency in the presence of the preconditioning. In this paper, the effect of the conditioning speed on the coal fly ash flotation was investigated using numerical simulations and conditioning-flotation tests. The large eddy simulation coupled with the Smagorinsky-Lilly subgrid model was employed to simulate the turbulence flow field in the stirred tank, which was equipped with a six blade Rushton turbine. The impeller rotation was modelled using the sliding mesh. The simulation results showed that the large eddy simulation (LES) well matched the previous experimental data. The turbulence characteristics, such as the mean velocity, turbulent kinetic energy, power consumption and instantaneous structures of trailing vortices were analysed in detail. The turbulent length scale (η) decreased as the rotation speed increased, and the minimum value of η was almost unchanged when the rotation speed was more than 1200 rpm. The conditioning-flotation tests of coal fly ash were conducted using different conditioning speeds. The results showed that the removal of unburned carbon was greatly improved due to the strengthened turbulence in the stirred tank, and the optimal results were obtained with an LOI of 3.32%, a yield of 78.69% and an RUC of 80.89% when the conditioning speed was 1200 rpm.

24 February 2024 in Minerals Engineering
Verified
Journal Article
Closed access
RWRui Wang
Rui Wang
ZZZiang Zhang
Ziang Zhang
Xiaokang YanXiaokang Yan
Xiaokang Yan
HZHaijun Zhang
Haijun Zhang
LWLijun Wang
Lijun Wang

18 December 2020 in Asia-Pacific Journal of Chemical Engineering
Verified
Journal Article
Closed access
PDF file
XLXiaoheng Li
Xiaoheng Li
WSWenbing Su
Wenbing Su
YLYu Liu
Yu Liu
Xiaokang YanXiaokang Yan
Xiaokang Yan
LWLijun Wang
Lijun Wang
HZHaijun Zhang
Haijun Zhang

25 March 2018 in Asia-Pacific Journal of Chemical Engineering
Verified
Journal Article
Closed access
PDF file
Xiaokang YanXiaokang Yan
Xiaokang Yan
SMShiqi Meng
Shiqi Meng
Ai WangAi Wang
Ai Wang
LWLijun Wang
Lijun Wang
YCYijun Cao
Yijun Cao

30 July 2019 in Minerals
Verified
Journal Article
Open access
PDF file
SMShiqi Meng
Shiqi Meng
XLXiaoheng Li
Xiaoheng Li
Xiaokang YanXiaokang Yan
Xiaokang Yan
LWLijun Wang
Lijun Wang
HZHaijun Zhang
Haijun Zhang
YCYijun Cao
Yijun Cao
Cyclonic fields are important for cyclonic static microbubble flotation columns (FCSMCs), one of the most important developments in column flotation technology, particularly for separation of fine particles, where the internal flow field has enormous influence on flotation performance. PIV (particle image velocimetry) and CFD (computational fluid dynamics) are the most effective methods to study flow fields. However, data is insufficient for FCSMC flow fields and similar cyclonic equipment, with turbulence model simulations producing different views to measured data. This paper employs an endoscope and PIV to measure axial and cross sections for single-phase swirling flow fields in FCSMCs. We then compare various turbulence model simulations (Reynolds stress model (RSM), standard k-ε, realizable k-ε, and RNG (renormalization group) k-ε) to the measured data. The RSM (Reynolds stress model) predicts cyclonic flow field best in flotation columns with 16.22% average relative velocity deviation. Although the realizable k-ε model has less than 30% relative deviation in radial and tangential directions, axial deviations reach 78.11%. Standard k-ε and RNG k-ε models exhibited approximately 40% and 30% radial and tangential deviation, respectively, and cannot be used even for trend predictions for axial velocity. k-ε models are based on isotropic assumptions with semi-empirical formulas summarized from experiments, whereas RSM fundamentally considers laminar flow and Reynolds stress, and hence is more suitable for anisotropic performance. This study will contribute to flotation column and other cyclonic flow field equipment research.

6 May 2019 in Asia-Pacific Journal of Chemical Engineering
Verified
Journal Article
Closed access
PDF file
WSWenbing Su
Wenbing Su
Xiaokang YanXiaokang Yan
Xiaokang Yan
LWLijun Wang
Lijun Wang
HZHaijun Zhang
Haijun Zhang
YCYijun Cao
Yijun Cao