Professor (full), Dr. Qiang Zhou

Born in Jining, Shandong, 1982

Recipient of the National Youth Awards (2016)

Selected as "Young Talent support plan" professor of XJTU in June 2015

Professor (full), Dr. Qiang Zhou

Born in Jining, Shandong, 1982

Recipient of the National Youth Awards (2016)

Selected as "Young Talent support plan" professor of XJTU in June 2015

School of Chemical Engineering and Technology, Xi’an Jiaotong University

Email：zhou.590@mail.xjtu.edu.cn

zhouqiangosu@163.com

Address：28 West Xianning Road, Xi’an 710049, Shaanxi, P. R. China

**1. Computational & Experimental Multiphase Flow;2. Granular Flows; Gas-Solid Flows; Fluidizations; Origin and Effects of Meso-scale Structures**

**3. Lattice Boltzmann Method****;** Imersed Boundary Method**; **Particle Resolved-Direct Numerical Simulations;

4. Direct Carbon Fuel Cell Techonology（DCFC）;

**5****.Self-Selected Topics by Students/Post-docs.**

You're welcome to join us if you have interests in exploring the interaction between the solid phase and the fluid phase in gas-solid flows, for more details, see the page of Open Positions.

**Research Platform:**

**State Key Laboratory of Multiphase Flow in Power Engineering**

**Shaanxi Key Laboratory of Energy Chemical Process Intensification**

**Description of the detailed research directions in the area of fundamentals of gas-solids flows:**

Gas-solid flows have been attracting more and more attention due to their widespread use and popularity in various industrial processes, such as coal gasification, food production, pharmaceutical processing, environmental and energy industries, and so on. For accurate simulations of gas-solids flows in real-world reactors, the interaction between the gas phase and the solid phases needs to be formulated and installed as an external model in numerical methods that is capable of handling large-scale flows. Our group focuses on exploring the effects of the factors that could influence the interphase interaction, with drag as the primary forces between the two phases. The factors have been considered are particle rotation, particle fluctuation inhomogeneous structures and the geometries of particles. Out of these factors, it is found that inhomogeneous structures give the most significant changes of the drag force. In most occasions, it produces profound drag reduction compared to the drag forced obtained in homogenous flows. Inhomogeneous structures are composed of clusters of particles and dilute regions. It forms at the meso-scale of flows, a scale larger than the smallest scale of the flow, the particle scale and smaller than the largest scale of the flow, the reactor scale. The inherent cause of the Inhomogeneous structures is mainly related to inelastic collision between particles and the nonlinear drag between the two phases. The meso-scale inhomogeneity of the gas-solid flows, though is a widespread phenomenon in industrial processes and nature, is still poorly understood. Continunous numerical and experimental efforts are required in this area. Our group plans to use theoretical, numerical as well as experimental methods to perform careful analysis on the drag reduction mechanism due to structures in designed flows. The ultimate goal is to develop a structure-based drag model that can give accurate prediction on interaction between the two phases on various meso-scales.

__Other than the fundamental of gas-solid flows, our group also invests efforts to explore the factors preventing the application of direct carbon/coal fuel cell in industrials, with the final goal of replacing coal-fired power plants in coming years.__

**The recent achievements in the area of gas-solid flows are as follows:**

1. Construct a second-order immersed boundary-lattice Boltzmann method (IB-LBM) for accurate simulations of particle-laden flows(Zhou & Fan, Journal of Computational Physics 268 (2014) 269–301). This method serves as a PR-DNS tool in our group for most accurate prediction of gas-solid dynamics in small scale systems.

2. We have investigated the effect of particle rotation on the interphase interaction via PR-DNSs. It is found that it barely affect the drag force, however it give a non-negligible Magnus lift force when particle rotation is strong. Based on the simulation data, correlations for the drag force, the Magnus lift force, and the torque in random arrays of rotating spheres at arbitrary solids volume fractions, rotational Reynolds numbers, and particle Reynolds numbers are formulated.(Zhou & Fan, Journal of Fluid Mechanics 765(2015) 396-423; Zhou & Fan, Physics of Fluids 27(2015), 073306)

3. The effect of particle fluctuation if explored by performing PR-DNSs. particles in flows are assembled in static configurations and they are imposed with different velocities and these velocities obey the isotropic Maxwellian distribution. The free motion of solids is not allowed so that the formation of heterogeneous structures of particles due to the flow instabilities is avoided. And hence a constant solid volume fraction for each simulation case can be easily maintained throughout the simulation. It is found that particle fluctuation increases the drag force and the results are compared with previous studies in the literature.( Huang et al., Powder Technology 321 (2017) 435–443)

4. The effect of particle orientation is important when particles are non-spherical, like ellipsoidal objects. We found that this effect was very significant when the solid volume fraction and the aspect ratio are large. The comparisons with previous correlations show the wildly used drag force correlations under-predict the drag force on random arrays of ellipsoidal particles at low-Reynolds-number. Based on our simulation results, new equations are proposed to calculate the force on random arrays of ellipsoidal particles at arbitrary aspect ratios, Herman’s orientation factors and solid volume fractions. (To be submitted)

5. The effect of anisotropic microstructure in homogenous system is also explored. The anisotropic microstructure makes the particle experience different drag force when flow coming from different equations. The magnitude of the drag force is well correlated with a function of the eigenvalues of the second order structure tensor characterizing the anisotropy of microstructures. (To be submitted)

6. The drift velocity has been found to be a key parameter quantifying the flow inhomogeneity. We tried another approach to predict the drift velocity since it is reported that various algebraic models for the drift velocity failed to give entirely satisfactory prediction of the filtered drag force. Unlike previous works, we theoretically derived the transport equation of the drift velocity from the standard two-fluid model (TFM) equations without any additional assumptions. The new approach, though requires additional closures for the new unresolved terms, is believed to have the potential to improve the precision of the estimation of this sub-grid quantity and hence give better prediction of the filtered drag force for gas-solid fluidization problems.(submitted)

**2004.9-2010.7** PhD in Fluid Mechanics, School of Aerospace Engineering,

Tsinghua University, Beijing, China

Supervisor: Feng He

**2000.9-2004.7** Bachelor in Engineering Mechanics, College of Mechanical and Energy Engineering,

Chu Kechen Honors College,

Zhejiang University, Hangzhou, China

Supervisor: Jianzhong Lin

**10/2016-present**, Professor, Department of Chemical Engineering,

Xi’an Jiaotong University, China

**08/2015-****09/2016**, Research Fellow, Department of Chemical Engineering,

Xi’an Jiaotong University, China

**01/2014-08/2015**, Research Associate, Department of Chemical and Biomolecular Engineering,

The Ohio State University, U.S.

Supervisor: Liang-Shih Fan**10/2010-12/2013**, Post-doctoral Researcher, Department of Chemical and Biomolecular Engineering,

The Ohio State University, U.S.

Supervisor: Liang-Shih Fan

2012, Outstanding Post Doctoral Researcher, Department of Chemical & Biomolecular Engineering, The Ohio State University, USA

* For pdf files of these papers see* https://www.researchgate.net/profile/Qiang_Zhou9

X. Li, M. Jiang, Z. Huang, Q. Zhou*,2020 Effect of particle orientation on the drag force in random arrays of oblate ellipsoids in low-Reynolds-number flows. ** AIChE Journal**, accept.

X. Chen, N. Song, M. Jiang, Q. Zhou*, 2020 Theoretical and numerical analysis of key sub-grid quantities' effect on filtered Eulerian drag force. * Powder Technology*,372,15-31.

Y. Zhang, M. Jiang, X. Chen, Y. Yu, Q. Zhou*, 2020 Modeling of the filtered drag force in gas-solid flows via a deep learning approach. * Chemical Engineering Science*, 115835.

Y. Yu, Y. Li, M. Jiang, Q. Zhou*, 2020 Meso-Scale Drag Model Designed for Coarse-Grid Eulerian-Lagrangian Simulation of Gas-Solid Flows. * Chemical Engineering Science*, 223,115747.

X. Chen, N. Song, M. Jiang, T. Ma, Q. Zhou*, 2020 A microscopic gas-solid drag model considering the effect of interface between dilute and dense phases. ** International Journal of Multiphase Flow**,128, 103266 https://doi.org/10.1016/j.ijmultiphaseflow.2020.103266

T. Ma, Y. Yu, X. Chen, Q. Zhou*, 2020 Effect of anisotropic micro-structures on fluid-particle drag in low-Reynolds-number monodisperse gas-solid suspensions. ** AIChE Journal**, 66(4), e16910.

M. Jiang, X. Chen, Q. Zhou*, 2020 A gas pressure gradient dependent subgrid drift velocity model for drag prediction in fluidized gas-particle flows. ** AIChE Journal**, 66(4), e16884.

Z. Huang, C. Zhang, M. Jiang, Q. Zhou*, 2019 Development of a filtered interphase heat transfer model based on fine-grid simulations of gas-solid flows. ** AIChE Journal**, 66(1), e16755.

X. Li, M. Jiang, Z. Huang, Q. Zhou*,2019 Effect of particle orientation on the drag force in random arrays of prolate ellipsoids in low-Reynolds-number flows. ** AIChE Journal**, 65(8), e16621.

Z. Huang, C. Zhang, M. Jiang, H. Wang, Q. Zhou*, 2019 Effects of particle velocity fluctuations on inter-phase heat transfer in gas-solid flows. * Chemical Engineering Science*, 206, 375-386.

Z. Huang, H. Wang, Q. Zhou*, T. Li, 2017 Effects of granular temperature on inter-phase drag in gas-solid flows, ** Powder Technology** 321, 435-443.

Q. Zhou, L.S. Fan*, 2015 Direct numerical simulation of moderate-Reynolds-number flow past arrays of rotating spheres, ** Physics of Fluids**, 27, 073306.

Q. Zhou, L.S. Fan*, 2015 Direct numerical simulation of low-Reynolds-number flow past arrays of rotating spheres, ** Journal of Fluid Mechanics**, Vol. 765, 396-423.

Q. Zhou, L.S. Fan*, 2014 A second-order accurate immersed boundary-lattice Boltzmann method for particle-laden flows, ** Journal of Computational Physics**, Vol. 268, 269-301.

Q. Zhou, L. Zeng, L.S. Fan*, 2013 Syngas chemical looping process: dynamic modeling of a moving bed reducer. ** AIChE Journal**, 59(9), 3432-3443.

H. Yang, Q. Zhou, L.S. Fan*, 2013 Three-dimensional numerical study on droplet formation and cell encapsulation process in a micro T-junction. ** Chemical Engineering Science**, Vol. 87, 100-110.

Z. Sun, Q. Zhou (co-first authors), L.S. Fan*, 2013 Formation of core-shell structure composite micro-particles via cyclic gas-solid reactions. ** Langmuir**, 29(40), 12520-12529.

Z. Sun, Q. Zhou, L.S. Fan*, 2012 Reactive solid surface morphology variation via ionic diffusion. ** Langmuir**, 28(32), 11827-11833.

Q. Zhou, Feng He*, M.Y. Shen, 2012 Direct numerical simulation of a spatially developing compressible plane mixing layer: flow structures and mean flow properties. ** Journal of Fluid Mechanics**, Vol. 711, 437-468.

Q. Zhou, F. He*, M.Y. Shen, 2012 A family of efficient high-order hybrid finite difference schemes based on WENO schemes. ** International Journal of Computational Fluid Dynamics**, Vol. 26(04), 205-229.

Q. Zhou, Z.H. Yao, F. He*, M.Y. Shen, 2007 A new family of high-order compact upwind difference schemes with good spectral resolution. ** Journal of Computational Physics**, Vol. 227/2, 1306-1339.

Q. Zhou, F. He, M.Y. Shen, 2008 The evolution of three-dimensional temporally evolving plane mixing layers under strong vortex disturbances. The International Workshop on Aerospace Engineering (IWAE2008), ** Tsinghua Science and Technology**, 2009 Vol. 14(S2), 17-21.

**Q. Zhou**, 2010. English to Chinese translation of the book “*Computational fluid dynamics: the basics with applications”* (by J. D. Anderson). Tsinghua University Press.