Verification of shear-thinning LB simulations in complex geometries

Sullivan, S.P.; Sederman, Andrew J.; Johns, Michael L.; Gladden, Lynn F.

doi:10.1016/j.jnnfm.2006.12.008

Cited by 33 publications

(24 citation statements)

References 20 publications

(23 reference statements)

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“…Good agreement was also produced with respect to propagator measurement and simulation. LB simulations have also been applied to non-Newtonian flow in porous media with excellent agreement with NMR velocimetry [16].…”

Section: Introductionmentioning

confidence: 92%

Quantification of the velocity acceleration factor for colloidal transport in porous media using NMR

Creber

Pintelon

Johns

2009

Journal of Colloid and Interface Science

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Section: Introductionmentioning

confidence: 92%

Quantification of the velocity acceleration factor for colloidal transport in porous media using NMR

Creber

Pintelon

Johns

2009

Journal of Colloid and Interface Science

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“…Particularly, the prediction of the flow of complex fluids, such as solutions of surfactants or polymers, through porous media is of particular interest to various industrial processes: e.g. many oil industry treatment fluids fall in that category [261].…”

Section: Nonconventional Thermo-hydrodynamicsmentioning

confidence: 99%

“…In such cases modelling based on macroscopic approximations tends to fail [261]. A study of the motion of a complex structured fluid in the presence of a forced flow (advective motion) is presented in Ref.…”

Section: Nonconventional Thermo-hydrodynamicsmentioning

confidence: 99%

The role of nonequilibrium thermo-mechanical statistics in modern technologies and industrial processes: an overview

Rodrigues¹,

Silva²,

Silva³

et al. 2010

Braz. J. Phys.

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The nowadays notable development of all the modern technology, fundamental for the progress and well being of world society, imposes a great deal of stress in the realm of basic Physics, more precisely on ThermoStatistics. We do face situations in electronics and optoelectronics involving physical-chemical systems farremoved-from equilibrium, where ultrafast (in pico-and femto-second scale) and non-linear processes are present. Further, we need to be aware of the rapid unfolding of nano-technologies and use of low-dimensional systems (e.g., nanometric quantum wells and quantum dots in semiconductor heterostructures). All together this demands having an access to a Statistical Mechanics being efficient to deal with such requirements. It is worth noticing that the renowned Ryogo Kubo once stated that "statistical mechanics has been considered a theoretical endeavor. However, statistical mechanics exists for the sake of the real world, not for fictions. Further progress can only be hoped by close cooperation with experiment". Moreover, one needs to face the study of soft matter and fluids with complex structures (usually of the average self-affine fractal-like type). This is relevant for technological improvement in industries like, for example, that of polymers, petroleum, cosmetics, food, electronics and photonics (conducting polymers and glasses), in medical engineering, etc. It is then required to introduce a thermo-hydrodynamics going well beyond the classical (Onsagerian) one. Moreover, in the both type of situations above mentioned there often appear difficulties of description and objectivity (existence of so-called "hidden constraints"), which impair the proper application of the conventional ensemble approach used in the general, logically and physically sound, and well established Boltzmann-Gibbs statistics. A tentative to partially overcome such difficulties consists in resorting to non-conventional approaches. Here we briefly describe the construction of a Non-Equilibrium Statistical Ensemble Formalism (NESEF) that can deal, within a certain degree of success, with the situations above described. Several particular instances involving experimental observations and measurements in the area of semiconductor physics and in physics of fluids, which were analyzed in the context of the theory, are summarized. They comprise the cases of ultrafast optical spectroscopy; optical and transport processes in low-dimensional complex semiconductors; nonlinear transport in doped highly-polar semiconductors (of use in "blue diodes") under moderate to high electric fields; nonlinear higher-order thermo-hydrodynamics in fluids under driven flow, in normal solutions and in complex situations as in solutions of polymers, micelles, DNA, and in microbatteries.

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“…Recently, the lattice Boltzmann model has been successfully applied in modeling a range of microfluidic electroosmotic applications [5][6][7][8][9][10][11]. In addition, the extension of the traditional LBM to nonNewtonian fluids has also recently received important attention [12][13][14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%