Rheological study of a simulated polymeric gel shear

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Rheological study of a simulated polymeric gel: shear banding J. Billen, J. Stegen+, M.

Rheological study of a simulated polymeric gel: shear banding J. Billen, J. Stegen+, M. Wilson, A. Rabinovitch°, A. R. C. Baljon + Eindhoven University of Technology (The Netherlands) ° Ben Gurion University of the Negev (Be’er Sheva, Israel) Funded by:

Polymers • Long-chain molecules of high molecular weight polyethylene [Introduction to Physical Polymer Science,

Polymers • Long-chain molecules of high molecular weight polyethylene [Introduction to Physical Polymer Science, L. Sperling (2006)]

Motivation of research Polymer science Polymer chemistry (synthesis) Polymer physics Polymer rheology

Motivation of research Polymer science Polymer chemistry (synthesis) Polymer physics Polymer rheology

Introduction: polymeric gels

Introduction: polymeric gels

Polymeric gels Reversible junctions between endgroups (telechelic polymers) Concentration Sol Temperature Gel

Polymeric gels Reversible junctions between endgroups (telechelic polymers) Concentration Sol Temperature Gel

Polymeric gels • Examples – PEO (polyethylene glycol) chains terminated by hydrophobic moieties –

Polymeric gels • Examples – PEO (polyethylene glycol) chains terminated by hydrophobic moieties – Poly-(N-isopropylacrylamide) (PNIPAM) • Importance: – laxatives, skin creams, tooth paste, paintball fill, preservative for objects salvaged from underwater, eye drops, print heads, spandex, foam cushions, … – cytoskeleton

Viscosity Visco-elastic properties Shear rate [J. Sprakel et al. , Soft Matter (2009)]

Viscosity Visco-elastic properties Shear rate [J. Sprakel et al. , Soft Matter (2009)]

Hybrid MD/MC simulation of a polymeric gel

Hybrid MD/MC simulation of a polymeric gel

Molecular dynamics simulation ITERATE • Give initial positions, choose short time Dt • Get

Molecular dynamics simulation ITERATE • Give initial positions, choose short time Dt • Get forces • Move atoms • Move time t = t + Dt and acceleration a=F/m

Bead-spring model [K. Kremer and G. S. Krest. J. Chem. Phys 1990] Attraction beads

Bead-spring model [K. Kremer and G. S. Krest. J. Chem. Phys 1990] Attraction beads in chain U [e] Repulsion all beads Distance [s] • Temperature control through coupling with heat bath 1 s

[A. Baljon et al. , J. Chem. Phys. , 044907 2007] Associating polymer •

[A. Baljon et al. , J. Chem. Phys. , 044907 2007] Associating polymer • Junctions between end groups : FENE + Association energy U [e] U bo nd • Dynamics … Unobond Distance [s]

Dynamics of associating polymer (I) D U [e] • Monte Carlo: attempt to form

Dynamics of associating polymer (I) D U [e] • Monte Carlo: attempt to form junction P=1 form P<1 possible form Uassoc Distance [s]

Dynamics of associating polymer (II) -D U [e] • Monte Carlo: attempt to break

Dynamics of associating polymer (II) -D U [e] • Monte Carlo: attempt to break junction P<1 possible break P=1 break Uassoc Distance [s]

Simulation details • 1000 polymeric chains, 8 beads/chain • Units: s (length), e (energy&temperature),

Simulation details • 1000 polymeric chains, 8 beads/chain • Units: s (length), e (energy&temperature), m (mass), t=s(m/e)1/2 (time); • Box size: (23. 5 x 20. 5 x 27. 4) s 3 with periodic boundary conditions

Simulated polymeric gel T=1. 0 only endgroups shown

Simulated polymeric gel T=1. 0 only endgroups shown

Shearing the system Some chains grafted to wall; move wall with constant shear rate

Shearing the system Some chains grafted to wall; move wall with constant shear rate moving wall fixed wall

Shear banding in polymeric gel

Shear banding in polymeric gel

Shear-Banding in Associating Polymers • PEO in Taylor-Couette system two shear bands stress velocity

Shear-Banding in Associating Polymers • PEO in Taylor-Couette system two shear bands stress velocity Plateau in stress-shear curve moving wall [J. Sprakel et al. , Phys Rev. E 79, 056306 (2009)] fixed wall shear rate distance

Shear-banding in viscoelastic fluids • Interface instabilities in worm-like micelles time [Lerouge et al.

Shear-banding in viscoelastic fluids • Interface instabilities in worm-like micelles time [Lerouge et al. , PRL 96, 088301 (2006). ]

distance from wall [s] 30 Stress under constant shear 0 All results T=0. 35

distance from wall [s] 30 Stress under constant shear 0 All results T=0. 35 e (< micelle transition T=0. 5 e) stress yield peak plateau

distance from wall [s] 30 Velocity profiles 0 Before yield peak: homogeneous After yield

distance from wall [s] 30 Velocity profiles 0 Before yield peak: homogeneous After yield peak: 2 shear bands

Velocity profile over time • Fluctuations of interface fixed wall velocity [s/t] distance from

Velocity profile over time • Fluctuations of interface fixed wall velocity [s/t] distance from wall [s] moving wall time [t]

Chain Orientation Qxx=1 Qzz=-0. 5 z Shear direction y rij x

Chain Orientation Qxx=1 Qzz=-0. 5 z Shear direction y rij x

Chain orientation • Effects more outspoken in high shear band

Chain orientation • Effects more outspoken in high shear band

Aggregate sizes • Sheared: more smaller and larger aggregates size=4 • High shear band:

Aggregate sizes • Sheared: more smaller and larger aggregates size=4 • High shear band: largest aggregates as likely

Conclusions • MD/MC simulation reproduces experiments – Plateau in shear-stress curve – Shear banding

Conclusions • MD/MC simulation reproduces experiments – Plateau in shear-stress curve – Shear banding observed – Temporal fluctuations in velocity profile • Microscopic differences between sheared/ unsheared system – Chain orientation – Aggregate size distribution • Small differences between shear bands • Current work: local stresses, positional order, secondary flow, network structure

Equation of Motion K. Kremer and G. S. Grest. Dynamics of entangled linear polymer

Equation of Motion K. Kremer and G. S. Grest. Dynamics of entangled linear polymer melts: A molecular-dynamics simulation. Journal of Chemical Physics, 92: 5057, 1990. • Interaction energy • Friction constant; • Heat bath coupling – all complicated interactions • Gaussian white noise • <Wi 2>=6 k. B T (fluctuation dissipation theorem)

Predictor-corrector algorithm 1)Predictor: Taylor: estimate at t+dt 4) Corrector step: 2) From calculate forces

Predictor-corrector algorithm 1)Predictor: Taylor: estimate at t+dt 4) Corrector step: 2) From calculate forces and acceleration at t+dt 3) Estimate size of error in prediction step: Dt=0. 005 t

Polymeric gels Associating: reversible junctions between endgroups Concentration Sol Temperature Gel

Polymeric gels Associating: reversible junctions between endgroups Concentration Sol Temperature Gel

Simulation details • 1000 polymeric chains, 8 beads/chain • Units: s (length), e (energy&temperature),

Simulation details • 1000 polymeric chains, 8 beads/chain • Units: s (length), e (energy&temperature), m (mass), t=s(m/e)1/2 (time); • Box size: (23. 5 x 20. 5 x 27. 4) s 3 with periodic boundary conditions • Concentration = 0. 6/s 3 (in overlap regime) • Radius of gyration: • Bond life time > 1 / shear rate