Dr  Ai Wang

Dr Ai Wang

Research Associate

School of Engineering

Career Summary

Biography

I am currently working as a research associate at the University of Newcastle. I obtained my doctor degree of Chemical Engineering with the thesis title "The effect of turbulence on bubble-particle collision in flotation" in March 2022. I completed my Bachelor Degree of Mineral Processing Engineering at China University of Mining and Technology (CUMT) in 2013, China. Between 2013 and 2016, I have the three years research experience working in the project - Optimization of a cyclonic-static micro-bubble flotation column using CFD - in the National Engineering Research Centre of Coal Preparation and Purification in Xuzhou China. I was then inspired to come to Australia to commence  my PhD.

Over the years I have developed my expertise in the Computational fluid dynamics (CFD) modelling of multiphase flow with focus on the second development mode User Defined Function/Scalar in ANSYS Fluent platform. I also used Particle Image Velocimetry (PIV) to validate my simulation results. Additionally, I theoretically modelled the bubble-particle collision efficiency as a way to optimize the turbulence level. My research field also involved experimental investigation of dynamics of rising particle-laden bubbles. I modelled correction factor to drag coefficient in order to account for the effect of laden particles on the bubble. Finally,  I can fluently use Matlab for modelling and image processing. I developed algorithm of identifying the bubble surface loading based on the high-speed images and algorithm of identifying the inert particles from the vitrinite in coke. 


Qualifications

  • Doctor of Philosophy in Chemical Engineering, University of Newcastle
  • Bachelor Mineral Processing Engineering, China University of MIning and Technology - China

Keywords

  • CFD modelling
  • Flotation
  • Hydrodynamics
  • Inert identification
  • Multi-phase interaction

Languages

  • Mandarin (Mother)
  • English (Fluent)

Fields of Research

Code Description Percentage
460207 Modelling and simulation 70
401209 Hydrodynamics and hydraulic engineering 30

Professional Experience

UON Appointment

Title Organisation / Department
Research Associate University of Newcastle
School of Engineering
Australia
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Publications

For publications that are currently unpublished or in-press, details are shown in italics.


Journal article (13 outputs)

Year Citation Altmetrics Link
2024 Wang A, Banks E, Evans G, Mitra S, 'Effect of surfactant concentration and surface loading on the dynamics of a rising particle-laden bubble', Chemical Engineering Science, 288 (2024) [C1]
DOI 10.1016/j.ces.2024.119812
Co-authors Subhasish Mitra, Geoffrey Evans
2023 Wang A, Evans G, Mitra S, 'A review of bubble surface loading and its effect on bubble dynamics', MINERALS ENGINEERING, 199 (2023) [C1]
DOI 10.1016/j.mineng.2023.108105
Citations Scopus - 3
Co-authors Subhasish Mitra, Geoffrey Evans
2023 Sun Z, Yan X, Wang L, Li X, Wang A, Zhang H, 'Numerical prediction of particle slip velocity in turbulence by CFD-DEM simulation', Particuology, 80 170-179 (2023) [C1]

Turbulent environment improves the flotation recovery of fine particles by promoting the particle¿bubble collision rate, which directly depends on the particle slip velocity. Howe... [more]

Turbulent environment improves the flotation recovery of fine particles by promoting the particle¿bubble collision rate, which directly depends on the particle slip velocity. However, the existing slip velocity models are not applicable to fine particles in turbulence. The mechanism of turbulence characteristics and particle properties on the slip velocity of fine particles in turbulence was unclear. In this study, a coupled ANSYS FLUENT and EDEM based on computational fluid dynamics (CFD) and discrete element method (DEM) were used to simulate the slip velocity of fine particles in the approximately homogenous isotropic turbulence, which was excited by the grid. The reliability of the used CFD-DEM simulation method was validated against the slip velocity measured by the particle image velocimetry (PIV) experiments. In particular, the effects of the particle shapes, particle densities, and turbulence intensities on the slip velocity have been investigated with this numerical method. Numerical results show that particle shapes have no significant effect on fine particles between 37 and 225 µm. The slip velocity of the spherical particles increases with the turbulence intensity and particle density. Based on the simulated data, a model which has a correlation coefficient of 0.95 is built by using nonlinear fitting.

DOI 10.1016/j.partic.2022.11.021
Citations Scopus - 5
2023 Li C, Kang H, Wang A, Zhang B, Cao Y, 'Fluidized-bed flotation of coarse molybdenite particles: Matching mechanism for bubble and particle sizes', Separation and Purification Technology, 324 (2023) [C1]

Fluidized-bed flotation is a novel process with combined features of flotation and density separation. The application of fluidized-bed flotation in grinding circuit to reject coa... [more]

Fluidized-bed flotation is a novel process with combined features of flotation and density separation. The application of fluidized-bed flotation in grinding circuit to reject coarse gangues for sulfide ores has been increasingly attracting attentions. Previous studies have focused on the effect of mineral liberation on coarse particle separation. Little work has yet been conducted to simultaneously investigate the effect of mineral liberation, particle and bubble sizes on the fluidized-bed flotation efficiency. The lack of this work has hindered the process optimization to some extent. In this study, three sizes of bubbles (498 µm, 1200 µm, 1952 µm) were generated to separate molybdenite ores under three particle size fractions (150¿450 µm, 450¿700 µm and 700¿1000 µm) in a fluidized-bed flotation column (80 mm in diameter). For the 150¿450 µm and 450¿700 µm particles, small bubbles of 498 µm could achieve separation by effectively reducing the particle density. For the 700¿1000 µm particles with greater mass, intermediate bubble of 1200 µm was required to reduce the particle density for separation. No separation was observed for the three particle size classes with the oversized bubbles of 1952 µm due to high bubble detachment probability. It was concluded that fluidized-bed flotation is a consequence of matched bubble and particle sizes affected by the exposure rate of hydrophobic mineral and its distributing discreteness, the underlying mechanism for which was discussed. It is believed that the outcomes of this work could facilitate the optimization of fluidized-bed flotation in coarse gangue rejecting for sulfide ores.

DOI 10.1016/j.seppur.2023.124592
Citations Scopus - 4
2022 Wang A, Hoque MM, Evans G, Mitra S, 'Effect of turbulence dispersion on bubble-particle collision efficiency', Minerals Engineering, 177 107374-107374 (2022) [C1]
DOI 10.1016/j.mineng.2021.107374
Citations Scopus - 9Web of Science - 2
Co-authors Subhasish Mitra, Geoffrey Evans
2022 Wang A, Hoque MM, Evans G, Mitra S, 'Determining collision efficiency in multi-bubble-particle systems in presence of turbulence', Minerals Engineering, 189 107889-107889 (2022) [C1]
DOI 10.1016/j.mineng.2022.107889
Citations Scopus - 2
Co-authors Subhasish Mitra, Geoffrey Evans
2021 Wang A, Hoque MM, Moreno-Atanasio R, Doroodchi E, Evans G, Mitra S, 'Effect of bubble surface loading on bubble rise velocity', Minerals Engineering, 174 (2021) [C1]

In this study, we report the rising behaviour of the millimetric size ellipsoidal shaped particle-laden bubbles (particle diameter dP ~ 114 µm, bubble diameter dB ~ 2.76 and 3.34 ... [more]

In this study, we report the rising behaviour of the millimetric size ellipsoidal shaped particle-laden bubbles (particle diameter dP ~ 114 µm, bubble diameter dB ~ 2.76 and 3.34 mm) in the range of bubble surface loading (BSL) from 0 to 0.6 both in absence and presence of a surfactant (Sodium Dodecyl Sulphate, 20% CMC). High-speed imaging was used to capture the trajectory of the particle-laden bubble and an image processing methodology was developed to quantify the bubble surface loading. Three different regimes were observed - bubble shape transition (nearly spherical to ellipsoidal), particle detachment (at bubble rear end), and steady (for high BSL) or expansion (for low BSL) of the particle surface covered zone. A threshold for bubble surface loading (BSL ~ 0.40) was determined which had reasonable agreement with the experimental observations. Bubble rise velocity was observed to decrease with bubble surface loading but this trend was less steep in presence of surfactant. It was noted that loss of bubble surface mobility was higher in presence of surfactant, however in absence of surfactant, bubble surface loading contributed significantly to surface immobility. Finally, a correction factor to Schiller-Naumann drag coefficient model was proposed accounting for the bubble surface loading both in presence and absence of surfactant.

DOI 10.1016/j.mineng.2021.107252
Citations Scopus - 5Web of Science - 2
Co-authors Geoffrey Evans, Subhasish Mitra, Elham Doroodchi
2020 Wang A, Hoque MM, Moreno-Atanasio R, Evans G, Mitra S, 'Development of a flotation recovery model with CFD predicted collision efficiency', Minerals Engineering, 159 (2020) [C1]
DOI 10.1016/j.mineng.2020.106615
Citations Scopus - 14Web of Science - 10
Co-authors Subhasish Mitra, Geoffrey Evans
2018 Li Y, Qi X, Li N, Wang A, Zhang W, Zhu R, Peng Z, 'Motion characteristics of binary solids in a liquid fluidised bed with inclined plates', Particuology, 39 48-54 (2018) [C1]
DOI 10.1016/j.partic.2017.09.005
Citations Scopus - 7Web of Science - 6
2018 Yan X, Meng S, Wang A, Wang L, Cao Y, 'Hydrodynamics and separation regimes in a cyclonic-static microbubble flotation column', ASIA-PACIFIC JOURNAL OF CHEMICAL ENGINEERING, 13 (2018)
DOI 10.1002/apj.2185
Citations Scopus - 9Web of Science - 6
2017 Wang L, Wang Y, Yan X, Wang A, Cao Y, 'A numerical study on efficient recovery of fine-grained minerals with vortex generators in pipe flow unit of a cyclonic-static micro bubble flotation column', CHEMICAL ENGINEERING SCIENCE, 158 304-313 (2017)
DOI 10.1016/j.ces.2016.10.037
Citations Scopus - 40Web of Science - 28
2016 Yan X, Shi R, Xu Y, Wang A, Liu Y, Wang L, Cao Y, 'Bubble behaviors in a lab-scale cyclonic-static micro-bubble flotation column', ASIA-PACIFIC JOURNAL OF CHEMICAL ENGINEERING, 11 939-948 (2016)
DOI 10.1002/apj.2028
Citations Scopus - 18Web of Science - 12
2015 Wang A, Yan X, Wang L, Cao Y, Liu J, 'Effect of cone angles on single-phase flow of a laboratory cyclonic-static micro-bubble flotation column: Ply measurement and CFD simulations', SEPARATION AND PURIFICATION TECHNOLOGY, 149 308-314 (2015)
DOI 10.1016/j.seppur.2015.06.004
Citations Scopus - 52Web of Science - 38
Show 10 more journal articles

Conference (2 outputs)

Year Citation Altmetrics Link
2019 Wang A, Hoque M, Evans G, Mitra S, 'A novel flotation recovery model that includes CFD-computed turbulence intensity on particle-bubble collision efficiency', Cape Town, South Africa (2019)
Co-authors Geoffrey Evans, Subhasish Mitra
2019 Wang A, Hoque MM, Ge L, Evans G, Mitra S, 'Effects of turbulence on bubble-particle collision in flotation: A LeS-Lagrange approach', IMPC 2018 - 29th International Mineral Processing Congress, Moscow; Russian Federation (2019) [E1]
Citations Scopus - 3
Co-authors Geoffrey Evans, Subhasish Mitra
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Grants and Funding

Summary

Number of grants 5
Total funding $498,170

Click on a grant title below to expand the full details for that specific grant.


20244 grants / $338,754

Impact of Biomass on Coke Microstructure Evolution and Gas Diffusion During CO2 Gasification$169,000

Funding body: Australian Coal Research Limited

Funding body Australian Coal Research Limited
Project Team Doctor Arash Tahmasebi, Associate Professor David Jenkins, Doctor Salman Khoshk Rish, Doctor Ai Wang
Scheme Australian Coal Association Research Program (ACARP)
Role Investigator
Funding Start 2024
Funding Finish 2026
GNo G2400507
Type Of Funding C1700 - Aust Competitive - Other
Category 1700
UON Y

Structural Optimisation and Reactivity Evaluation of Ferro Coke Produced using Australian Coals$167,000

Funding body: Australian Coal Research Limited

Funding body Australian Coal Research Limited
Project Team Doctor Arash Tahmasebi, Doctor Salman Khoshk Rish, Associate Professor Merrick Mahoney, Doctor Ai Wang
Scheme Australian Coal Association Research Program (ACARP)
Role Investigator
Funding Start 2024
Funding Finish 2025
GNo G2400631
Type Of Funding C1700 - Aust Competitive - Other
Category 1700
UON Y

Impact of Oxygen Enrichment on Coke Microstructure in Low-carbon Ironmaking$1,445

Funding body: ANSTO (Australian Nuclear Science and Technology Organisation)

Funding body ANSTO (Australian Nuclear Science and Technology Organisation)
Project Team Doctor Apsara Jayasekara, Doctor Arash Tahmasebi, Doctor Salman Khoshk Rish, Doctor Ai Wang, Associate Professor David Jenkins, Associate Professor Merrick Mahoney, Doctor Soonho Lee
Scheme Access to Major Research Facilities Program
Role Investigator
Funding Start 2024
Funding Finish 2024
GNo G2400582
Type Of Funding C2200 - Aust Commonwealth – Other
Category 2200
UON Y

Bio-char Particle Interaction with Reactive Maceral Concentrate in Bio-coke$1,309

Funding body: ANSTO (Australian Nuclear Science and Technology Organisation)

Funding body ANSTO (Australian Nuclear Science and Technology Organisation)
Project Team Doctor Arash Tahmasebi, Doctor Salman Khoshk Rish, Doctor Soonho Lee, Doctor Ai Wang
Scheme Access to Major Research Facilities Program
Role Investigator
Funding Start 2024
Funding Finish 2024
GNo G2400022
Type Of Funding C2200 - Aust Commonwealth – Other
Category 2200
UON Y

20231 grants / $159,416

Abrasion Resistance of Coke Under Hydrogen Reduction Blast Furnace Conditions$159,416

Funding body: Australian Coal Research Limited

Funding body Australian Coal Research Limited
Project Team Doctor Hannah Lomas, Doctor Apsara Jayasekara, Zhengyi Jiang, Doctor Salman Khoshk Rish, Doctor Arash Tahmasebi, Doctor Ai Wang, Hui Wu
Scheme Australian Coal Association Research Program (ACARP)
Role Investigator
Funding Start 2023
Funding Finish 2024
GNo G2300737
Type Of Funding C1700 - Aust Competitive - Other
Category 1700
UON Y
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Dr Ai Wang

Position

Research Associate
Laser Flow Diagnostic Laboratory Team
School of Engineering
College of Engineering, Science and Environment

Contact Details

Email ai.wang@newcastle.edu.au
Mobile 0405854290

Office

Room A309, NIER A block
Building Newcastle Institute for Energy and Resources
Location Callaghan
University Drive
Callaghan, NSW 2308
Australia
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