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Simulation of the rheological properties of suspensions of oblate spheroidal particles in a Newtonian fluid

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Abstract

A simulation algorithm was developed to predict the rheological properties of oblate spheroidal suspensions. The motion of each particle is described by Jeffery’s solution, which is then modified by the interactions between the particles. The interactions are considered to be short range and are described by results from lubrication theory and by approximating locally the spheroid surface by an equivalent spherical surface. The simulation is first tested on a sphere suspension, results are compared with known experimental and numerical data, and good agreement is found. Results are then presented for suspensions of oblate spheroids of two mean aspect ratios of 0.3 and 0.2. Results for the relative viscosity η r, normal stress differences N 1 and N 2 are reported and compared with the few available results on oblate particle suspensions in a hydrodynamic regime. Evolution of the orientation of the particles is also observed, and a clear alignment with the flow is found to occur after a transient period. A change of sign of N 1 from negative to positive as the particle concentration is increased is observed. This phenomenon is more significant as the particle aspect ratio increases. It is believed to arise from a change in the suspension microstructure as the particle alignment increases.

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References

  • Anczurowski E, Mason SG (1967) The kinetics of flowing dispersions III. Equilibrium orientation of rods and discs (experimental). J Colloid Interface Sci 23:533–546

    Article  Google Scholar 

  • Ausias G, Fan XJ, Tanner RI (2006) Direct simulation for concentrated fiber suspensions in transient and steady state shear flows. J Non-Newton Fluid Mech 135:46–57

    Article  CAS  Google Scholar 

  • Ball RC, Melrose JR (1997) A simulation technique for many spheres in quasi-static motion under frame-invariant pair drag and Brownian forces. Physica A 247:444–472

    Article  CAS  ADS  Google Scholar 

  • Bartok W, Mason SG (1957) Particle motions in sheared suspensions, part 5: rigid rods and collision doublets of spheres. J Colloid Sci 12:243–262

    Article  CAS  Google Scholar 

  • Batchelor GK (1970) The stress system I na suspension of force-free particles. J Fluid Mech 41(3):545–570

    Article  MATH  ADS  Google Scholar 

  • Boek ES, Coverney PV, Lekkerkerker HNW, Van der Schoot P (1997) Simulating the rheology of dense colloidal suspension using dissipative particle dynamics. Phys Rev E 55(3):3124–3133

    Article  CAS  ADS  Google Scholar 

  • Bossis G, Brady JF (1984) Dynamic simulation of sheared suspensions. I. General method. J Chem Phys 80:5141–5154

    Article  CAS  ADS  Google Scholar 

  • Brady JF, Bossis G (1988) Stokesian dynamics. Ann Rev Fluid Mech 20:111–157

    Article  ADS  Google Scholar 

  • Brown ABD, Rennie AR (2000) Monodisperse colloidal plates under shear. Phys Rev E 62(1):851–862

    Article  CAS  ADS  Google Scholar 

  • Claeys IL, Brady JF (1993) Suspensions of prolate spheroids in Stokes flow. J Fluid Mech 251:411–500

    Article  MATH  CAS  ADS  Google Scholar 

  • Cox RG (1973) The motion of suspended particles almost in contact. Int J Multiphase Flow 1:343–371

    Article  Google Scholar 

  • Einstein A (1906) Eine neue bestimmung der molekuldimension. Ann Phys 19:289–306

    Article  CAS  Google Scholar 

  • Einstein A (1911) Berichtigung zu meiner arbeit: eine neue bestimmung der molekuldimension. Ann Phys 34:591–592

    Article  CAS  Google Scholar 

  • Elliot JA, Windle AH (2000) A dissipative particle dynamics method for modeling the geometrical packing of filler particles in polymer composites. J Chem Phys 113:10367–10376

    Article  ADS  Google Scholar 

  • Fan XJ (2006) Numerical study on some rheological problems of fiber suspensions. PhD thesis, The University of Sydney

  • Fan XJ, Phan-Thien N (1997) Completed double layer boundary element method for periodic suspension. ZAMP 48:1–12

    Article  Google Scholar 

  • Folgar FP, Tucker CL (1984) Orientation behavior of fibers in concentrated suspensions. J Reinf Plast Compos 3:98–119

    Article  CAS  Google Scholar 

  • Foss DR, Brady JF (2000) Structure, diffusion and rheology of Brownian suspensions by Stokesian dynamics simulation. J Fluid Mech 407:167–200

    Article  MATH  CAS  ADS  Google Scholar 

  • Gauthier F, Goldsmith HL, Mason SG (1971) Particle motions in non-Newtonian media I. Couette flow. Rheol Acta 10:344–364

    Article  CAS  Google Scholar 

  • Goldsmith HL, Mason SG (1962) The flow of suspensions through tubes I. Single spheres, rods and discs. J Colloid Sci 17:448–476

    Article  Google Scholar 

  • Grmela M, Ottinger HC (1997) Dynamics and thermodynamics of complex fluids. I. Development of a general formalism. Phys Rev E 55:6620–6632

    Article  MathSciNet  ADS  Google Scholar 

  • Hinch EJ, Leal LG (1972) The effect of Brownian motion on the rheological properties of a suspension of non-spherical particles. J Fluid Mech 52:683–712

    Article  MATH  ADS  Google Scholar 

  • Hoogerbrugge PJ, Koelman JMVA (1992) Simulating microscopic hydrodynamic phenomena with dissipative particle dynamics. Europhys Lett 19:155–160

    Article  ADS  Google Scholar 

  • Huilgol RR, Phan-Thien N (1997) Fluid mechanics of viscoelasticity. Elsevier, Amsterdam

    Google Scholar 

  • Iso Y, Cohen C, Koch DL (1996) Orientation in simple shear flow of semi-dilute fiber suspensions: 2. highly elastic fluids. J Non-Newton Fluid Mech 62:135–153

    Article  CAS  Google Scholar 

  • Jeffery GB (1922) The motion of ellipsoidal particles immersed in a viscous fluid. Proc Roy Soc A102:161–179

    Article  ADS  Google Scholar 

  • Jongschaap RJJ (1987) On the derivation of some fundamental expressions for the average stress tensor in systems of interaction particles. Rheol Acta 26:328–337

    Article  MATH  CAS  Google Scholar 

  • Karnis A, Goldsmith H, Mason SG (1966a) The kinetics of flowing dispersions. Part 1. Concentrated suspensions of rigid particles. J Colloid Interface Sci 22:531–553

    Article  CAS  Google Scholar 

  • Karnis A, Goldsmith H, Mason SG (1966b) Particle motions in sheared suspension. Part 5. Inertial effects. Can J Chem Eng 44:181–193

    Article  CAS  Google Scholar 

  • Kim S, Karrila SJ (1991) Microhydrodynamics: principles and selected applications. Butterworth-Heinemann, Boston

    Google Scholar 

  • Ladd AJC (1990) Hydrodynamic transport coefficients of random dispersions of hard spheres. J Chem Phys 93(5):3484–3494

    Article  CAS  ADS  Google Scholar 

  • Lees AW, Edwards SF (1972) The computer study of transport processes under extreme conditions. J Phys C 5:1921–1929

    Article  ADS  Google Scholar 

  • Letwimolnun W, Vergnes B, Ausias G, Carreau PJ (2007) Stress overshoots of organoclay nanocomposites in transient shear flow. J Non-Newton Fluid Mech 141:167–179

    Article  CAS  Google Scholar 

  • Meng Q, Higdon J (2008a) Large scale dynamic simulation of plate-like particle suspensions. Part II: Brownian simulation. J Rheol 52(1):1–36

    Article  CAS  ADS  Google Scholar 

  • Meng Q, Higdon J (2008b) Large scale dynamic simulation of plate-like particle suspensions. Part I: non-Brownian simulation. J Rheol 52(1):37–65

    Article  CAS  ADS  Google Scholar 

  • Moan M, Aubry T, Bossard F (2003) Nonlinear behavior of very concentrated suspensions of plate-like kaolin particles in shear flow. J Rheol 47(6):1493–1504

    Article  CAS  ADS  Google Scholar 

  • Mody N, King MR (2005) Three-dimensional simulations of a platelet-shaped spheroid near a wall in shear flow. Phys Fluids 17(113302):1–12

    Google Scholar 

  • Nasseri S, Phan-Thien N, Fan XJ (2000) Lubrication approximation in completed double layer boundary element method. Comput Mech 26:388–397

    Article  MATH  Google Scholar 

  • Pozrikidis C (2006) Interception of two spheroidal particles in shear flow. J Non-Newton Fluid Mech 136(1):50–63

    Article  CAS  MathSciNet  Google Scholar 

  • Qi F (2000) Effective properties of particulate solids and suspensions. PhD thesis, The University of Sydney

  • Qi D, Luo L (2002) Transitions in rotations of a non-spherical particle in a three-dimensional moderate Reynolds number Couette flow. Phys Fluids 14(12):4440–4443

    Article  CAS  ADS  Google Scholar 

  • Rajabian M, Beheshty MH (2008) Rheology and flow behavior of suspensions of nanosized plate-like particles in polyester resins at the startup of shear flows; experimental and modelling. Polym Compos 1–9. doi:10.1002/pc

    Google Scholar 

  • Rimon E, Boyd SP (1997) Obstacle collision detection using best ellipsoid fit. J Intell Robot Syst 18:105–126

    Article  MATH  Google Scholar 

  • Sierou A, Brady JF (2002) Rheology and microstructure in concentrated noncolloidal suspensions. J Rheol 46(5):1031–1056

    Article  CAS  ADS  Google Scholar 

  • Shenoy AV (1999) Rheology of filled polymer systems. Kluwer, Dordrecht, ISBN 0-412-83100-7

    Google Scholar 

  • Silbert LE, Melrose JR, Ball RC (1997) Colloidal microdynamics: pair-drag simulations of model-concentrated aggregated systems. Phys Rev E 56(6):7067–7077

    Article  CAS  ADS  Google Scholar 

  • Singh AP, Rey AD (1998) Microstructure constitutive equation for discotic nematics liquid nematics crystalline materials—part II. Microstructure-rheology relations. Rheol Acta 37:374–386

    Article  CAS  Google Scholar 

  • Singh A, Nott PR (2000) Normal stresses and microstructure in bounded sheared suspensions via Stokesian dynamics simulations. J Fluid Mech 412:279–301

    Article  MATH  CAS  ADS  Google Scholar 

  • Singh A, Nott PR (2003) Experimental measurements of the normal stresses in sheared Stokesian suspension. J Fluid Mech 490:293–320

    Article  MATH  CAS  ADS  Google Scholar 

  • Sundararajakumar RR, Koch DL (1997) Structure and properties of sheared fiber suspensions with mechanical contacts. J Non-Newton Fluid Mech 73:205–239

    Article  CAS  Google Scholar 

  • Tanner RI (2000) Engineering rheology. Oxford University Press, Oxford

    Google Scholar 

  • Taylor GI (1923) The motion of ellipsoidal particles in a viscous fluid. Proc Roy Soc A103:58–61

    Article  ADS  Google Scholar 

  • Thomas DG (1965) Transport characteristics of suspension: VIII a note on the viscosity of Newtonian suspensions of uniform spherical particles. J Colloid Sci 20:267–277

    Article  CAS  Google Scholar 

  • Yamamoto S, Matsuoka T (1997) Dynamic simulation of a platelike particle dispersed system. J Chem Phys 107(8):3300–3308

    Article  CAS  ADS  Google Scholar 

  • Yamamoto T, Suga T, Mori N (2005) Brownian dynamics simulation of orientational behavior, flow-induced structure, and rheological properties of a suspension of oblate spheroid particles under simple shear. Phys Rev E 72(021509):1–11

    Google Scholar 

  • Yamane Y, Kaneda Y, Dio M (1994) Numerical simulation of semi-dilute suspensions of rod-like particles in shear flow. J Non-Newton Fluid Mech 54:405–421

    Article  CAS  Google Scholar 

  • Yu Z, Phan-Thien N, Tanner RI (2007) Rotation of a spheroid in a Couette flow at moderate Reynolds numbers. Phys Rev E 76(026310):1–11

    Google Scholar 

  • Yziquel F, Carreau PJ, Moan M, Tanguy P (1999) Rheological modelling of concentrated colloidal suspension. J Non-Newton Fluid Mech 86:133–155

    Article  MATH  CAS  Google Scholar 

  • Zarraga IE, Hill DA, Leighton DT Jr (2001) Normal stresses and free surface deformation in concentrated suspensions of noncolloidal spheres in a viscoelastic fluid. J Rheol 45(5):1065–1084

    Article  CAS  ADS  Google Scholar 

Download references

Acknowledgements

This work is supported by the Cooperative Research Center for Polymers. We also thank Dr Gilles Ausias for our useful discussions on the topic of particle suspensions.

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Correspondence to Erwan Bertevas.

Appendix 1: Comparison between the local sphere approximation and Cox’s results

Appendix 1: Comparison between the local sphere approximation and Cox’s results

We have estimated the difference between the values of the short-range hydrodynamic interactions obtained by our approximate method with results given by Cox (1973) who derived solutions for the resistance functions between two surfaces separated by a viscous fluid at small distance. In Cox’s work, similar to our assumption, the local curvature is characterized by two principal radii of curvature on each surface which can be given by r m and r t, the meridional and transverse radii. The angular orientation θ (Fig. 13) between each surface principal direction about the surface normal is also specified and Cox’s results are given depending on θ. This orientation is not the relative orientation between the particles defined below but simply the relative orientation between the principal radii of each surface. Since our approximation does not account for that relative orientation, results for different relative orientation are calculated with Cox’s method for comparison.

Fig. 13
figure 13

The two interacting surfaces i and j defined respectively by two radii r r and r t. θ is the relative orientation between the principal radii of each particle

To obtain an estimate of the error introduced by approximating the surfaces by equivalent sphere, the characteristics of the interacting surfaces were sampled during a simulation for a 20% suspension of oblate spheroids of aspect ratio a r = 0.2. Information such as particle orientations, local surface curvatures, and interparticle distances and velocities were recorded and grouped depending on the particle relative orientations. Indeed, for similar relative orientations, pairs of particles should show similar interacting surfaces characteristics and this facilitates the estimation of the error introduced by the local-sphere approximation. The particle relative orientation is given by α = cos − 1 (pp), where pp is the inner product of p the spheroidal particle orientation vector and eighteen groups were created covering a range of relative orientation from 0° to 90° with intervals of 5°.

As observed in the results presented in “Orientation tensor,” a suspension of oblate spheroidal particles shows a strong particle alignment when subject to a shear flow. It is possible to observe the distribution g(α) of the relative orientation α of particle pairs as shown on Fig. 14, where a large fraction of the particles shows alignment.

Fig. 14
figure 14

Evolution of the distribution function for different particle relative orientation

For each particle-relative orientation group, we use the average interacting surface characteristics to compute the lubrication forces and torques given by the approximate sphere method and those given by Cox. Since Cox’s results depend on the principal radii relative orientation θ, lubrication interactions are calculated for angles θ = 0°, 45°, and 90°. The values found at θ = 45° are found to always be between those found at θ = 0° and 90° which are angles where the minimum and maximum errors given in the total error (Table 5) are found. Once the error for a particle relative orientation group is estimated, it is weighted by the corresponding value of the distribution function g(α) to account for the probability of this particle relative orientation to be found. For a representative estimation of the error on the global behavior of the suspension, the errors are also scaled by the maximum force found in the suspension. It was observed that as the particle relative orientation angle α increases, so does the error, but since the probability to find such orientation decreases as well as the lubrication forces between such surfaces (decrease of the surface radii of curvature), the relative error decreases.

Table 5 Results for the error estimations

Using the comparison method detailed above, the errors found for the normal and tangential lubrication forces and torques on the particles are estimated to be respectively 4.866%, 0.394%, and 2.098%.

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Bertevas, E., Fan, X. & Tanner, R.I. Simulation of the rheological properties of suspensions of oblate spheroidal particles in a Newtonian fluid. Rheol Acta 49, 53–73 (2010). https://doi.org/10.1007/s00397-009-0390-8

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