Analysis of hydrodynamic forces on non-spherical particles (Spherocylinder)

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1 Coimbra, 6-8 March International workshop Fibre Suspension Flow Modelling French program ANR PLAYER Analysis of hydrodynamic forces on non-spherical particles (Spherocylinder) Rafik OUCHENE (LEMTA, CNRS) Anne TANIERE (LEMTA, CNRS) Mohammed KHALIJ (LEMTA, CNRS) Boris ARCEN (LRGP, CNRS)

2 1. Introduction 2. Literature overview 3. Numerical simulation overview 4. Results 5. Conclusions 6. Future Plans 7. References 2

3 Applications Dispersion of Pollutants Coal Combustion Separation Process (cyclone) 3

4 Context and Objectives This work is a part of program research about non-spherical particle dispersion. We are interested in simulating a dispersed two-phase flow using Direct Numerical Simulation under point force approximation. Before, we want to examine the force acting on each particle in order to choose or develop a model that will later be introduced in the DNS. To verify the ability of the CFD code to give the accurate results of hydrodynamic forces acting on non-spherical particles 4

5 Literature overview 5

Variation of the drag coefficient as a function

regime (3):Newton regime (4):Trans-critical

6 Variation of the drag coefficient as a function of the Reynolds number for a spherical particle (Pr Ahmadi, Clarkson University) Spherical particle (1):Stokes regime (2):Intermediate regime (3):Newton regime (4):Trans-critical regime ud Re p = ν p What s about non-spherical particles?

7 P D D A u F C ρ = p L L d u F C π ρ = p P T d u T C π ρ = Drag coefficient Lift coefficient Torque coefficient F D : Drag force F L : Lift force T P : Torque force A p : Projected area u : Fluid velocity d p : Particle diameter ρ : Fluid density Eulerian-Lagrangian methods for Two-Phase Flows ( ) ( ) ( ) z y x y x z z y x z x z y y x z y z y x x LIFT DRAG p p T I I dt d I T I I dt d I T I I dt d I F F dt dv m = = = + = ω ω ω ω ω ω ω ω ω 7

8 Literature review (Drag coefficient) Before After Correlation for arbitrary shaped particles 1.Ganser [1993] 2.Haider and Levenspiel [1989] 3.Hartman [1994] 4.Chien [1994] ( 5.Swamme and Ojha [1991] Performance Correlation for specific shaped particles Brenner [1963] Bowen and Masliyah [1973] Tripathi et al [1994] Spheroid Militzer et al [1989] Huner and Hussey [1977] Cylinder Ui et al [1984] Michael [1966] Shail and Norton [1969] Disc Davis [1990] C H A B R A Correlation for arbitrary shaped particles 1.Holzer and Sommerfeld[2008] 2.Tran-Cong et al. [2004] Correlation for specific shaped particles Zastawny et al.[2012] Loth [2008] Yow [1994] Vakil and Green[2011] Mando and Rosendahl [2010] The correlations must take into account: Particle shape. Particle orientation. Particle rotation. 8

9 Relevant parameters Particle Reynolds number is calculated using the diameter of the equivalent sphere (d eq ) Re p = ud ν eq Sphericity (φ ) is the ratio between the surface of sphere with the same volume as the particle and the surface area of the actual particle (S): 2 πd eq φ = S Aspect ratio (w) is the ratio between the length (a) of the particle and its width(b): w = a b 9

10 Formula commonly admitted: Arbitrary shaped particles: C D = ( logφ ) *10 3 φ Re φ φ Re 4 Re Recent correlations a b C D = + + c Re Re Holzer and Sommerfeld[2008] φ Specific shaped particles: Rosendahl et al.[2010] C D Where : C C = C D, θ = 0 D, θ = 90 D, θ = 90 + ( C C ) D, θ = 90 D, θ = 0 sin 3 are determined from experimental or correlations results θ C D Where : C C C D, θ = 0 D, θ = 90 L = C = Zastawny et al.[2012] a + ( C C ) sin D, θ = 90 D, θ = 90 a1 a3 = a2 a4 Re Re a5 a7 = a6 a8 Re Re b1 b3 sin a2 a 4 Re Re D, θ = 0 b b b6 Re ( θ ) cos( θ ) 0 θ b + b 8 9 Re b10 10

11 Numerical simulation overview 11

12 Governing equations and solutions parameters on ANSYS FLUENT u = 0 u + t 1 ρ ( u ) u = p + ν u Second-order solver for the three-dimensional Navier-Stokes equations. Laminar viscous model. Steady simulation. The SIMPLE algorithm (Semi Implicid Method for Pressure-Linked Equations) is used. 12

13 Characteristics and parameters of the simulation Particle: Spherocylinder particle 0 θ 90 Axis ratio (b/a)=5 Fixed and rigid particle Flow: Uniform flow 0.1 Rep 300 θ u 13

14 The domain and boundary conditions Moving no-slip wall boundary condition Pressure outlet FD FL Velocity-Inlet Case : Uniform flow 14

15 Results of numerical simulation ANSYS-FLUENT Uniform flow at Re p =10 and Re p =300 15

16 Drag coefficient Comparison with Correlations: Zastawny et al[2012]; Holzer and Sommerfeld[2008]; Rosendahl [2010]. DNS (immersed boundary method): Zastawny et al[2012]. 16

17 Comparison at Re p =10 Spherocylinder w=5/1 φ =0.69 Inflexion point A similar tendency is noted for our results and those given by Zastawny et al. (CD max / CD min 1.75), a deviation of 30% is observed. 17

Results of DNS of Zastawny et al.[2012] Ellipsoid 1 w=5/2 φ =0.88 Ellipsoid 2 w=5/4 φ =0.99 Under-prediction of the CD at low Reynolds number by DNS Zastawny compared to theorical results.

18 Results of DNS of Zastawny et al.[2012] Ellipsoid 1 w=5/2 φ =0.88 Ellipsoid 2 w=5/4 φ =0.99 Under-prediction of the CD at low Reynolds number by DNS Zastawny compared to theorical results. Deviation 14% Comparison of the drag and lift coefficients obtained from Brenner (1963) with the results issued from DNS of Zastawny for two ellipsoids at Re<0.1 At low Reynolds DNS of Zastawny under-predict CD compared to the theorical results of Brenner. 18

19 Comparison at Re p =300 Spherocylinder w=5/1 φ =0.69 Inflexion point A similar trend is noted for our results and those given by Zastawny et al. (CD max / CD min 4.2). The difference is lower than 10%. 19

20 Lift coefficient Comparison with Correlations: Zastawny et al[2012]; Hoener[1963]. DNS (immersed boundary method): Zastawny et al[2012]. 20

21 Comparison at Re p =10 w=5/1 A similar tendency is noted for our results and those given by Zastawny et al. The deviation is the same to those of the drag coefficient 30%. Spherocylinder φ =0.69 Hoener correlation: C C L D = sin 2 θ cosθ 21

22 Comparison at Re p =300 Spherocylinder w=5/1 φ =0.69 A similar trend is noted for our results and those given by Zastawny et al. The difference is less than 2%. 22

23 Torque coefficient Comparison with Correlation: Zastawny et al[2012]. 23

24 Comparison at Re p =10 The torque in the Z direction given by Zastawny et al. is significantly lower than the one extracted from our simulations. Deviation 179% Spherocylinder w=5/1 φ =

25 Comparison at Re p =300 The torque in the Z direction given by Zastawny et al. is significantly lower than the one extracted from our simulations. Deviation 174%. Spherocylinder w=5/1 φ =

26 Flow visualization at Re p =10 ANSYS FLUENT θ=0 θ=30 No recirculation zone θ=60 θ=90 26

27 Flow visualization at Re p =300 ANSYS FLUENT recirculation zone θ=0 θ=30 recirculation zone Symmetry is not broken θ=60 θ=90 27

Comparison between ellipsoid and spherocylinder at Re p =300 The same aspect ratio does not give the same behavior of the flow. The symmetry of the streamlines is not broken.

28 Comparison between ellipsoid and spherocylinder at Re p =300 The same aspect ratio does not give the same behavior of the flow. The symmetry of the streamlines is not broken. The critical Reynolds number is not the same for both particles even if it has the same aspect ratio. Spherocylinder Symmetry Ellipsoid Beginning of the dissymmetry w=5/1 w=5/1 28

29 Conclusion The present results show some significant differences at low Reynolds number for CD and CL with DNS of Zastawny. The present torque coefficients are not in good accordance with the results of Zastawny. Not enough results in order to conclude about the pertinence of the existing estimations of the hydrodynamic forces (spherocylinder and ellipsoid). The difficulty remains again in the choice of the correlation for spherocylinder particles in order to model the motion of non spherical particles. 29

30 Future plans We will determine which is the critical Reynolds number for a spherocylinder. Simulation with an other type of the particles. 30

31 References [1] Hölzer, A and Sommerfeld, M New simple correlation formula for the drag coefficient of non-spherical particles. Powder Technol, 184, [2] Zastawny, M., Mallouppas, G., Zhao, F., van Wachem, B Derivation of drag and lift force and torque coefficients for non-spherical particles in flows. International Journal of Multiphase Flow. 39, [3] Mando, M and Rosendahl, L On the motion of non-spherical particles at high Reynolds number. Powder Technology, 202,

33 ANNEXE

34 Comparison between DNS of Zasatwny and the ANSYS FLUENT simulation Re p =10 Re p =300 Spherocylinder w=5/1 φ =0.69 Better accordance at Re=300 34

35 Comparison between existing correlations and the ANSYS FLUENT simulation Spherocylinder w=5/1 φ =0.69 There is an important difference between our results and those by Zastawny. We think that is due to under-prediction of the forces on theirs simulations and this allowed for the three coefficients CD, CL and CM. Other studies must be done, using other code CFD code for this type of the particle. 35

36 Comparison between existing correlations and the ANSYS FLUENT simulation Spherocylinder w=5/1 φ =0.69 Re p =10 Inflexion point Re p =300 We have the same tendency between our results and those of Zastawny at the both Reynolds number. But at Re=10 the results of Zastawny tend to under-precdict CD than us, as we seen for the ellipsoid at Re=0,1. 36

37 Comparison between existing correlations and the ANSYS FLUENT simulation Spherocylinder w=5/1 φ =0.69 Re p =10 Re p =300 We have the same tendency between our results and those of Zastawny at the both Reynolds number. But at Re p =10 the results of Zastawny tend to under-precdict CD than us, as we seen for the ellipsoid at Re p =0,1. 37

FOUR-WAY COUPLED SIMULATIONS OF TURBULENT

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