Abstract

The Shear Thickening Fluid (STF) is a non- Newtonian fluid which comes under dilatant material, STF undergoes phase transition from a low to high viscosity when shear stress is applied on it. In this paper modelling and simulation tools are used to study the STF fluid interaction when subjected to applied shear stress. The Eulerian description used for the fluid flow and the model considered the Lagrangian description of the rigid particles. The numerical analysis inspects important guideline such as acceleration of the flow, particle dispersion and the base of Non-Newtonian fluid. The fluid particles interrelation of STF showed that the shape, arrangement, volume concentration, and size of the particles had a vital effect on the behavior of STF. By adding sand particles in non-Newtonian fluids and applying high shear strain rates showed improvement in the shear thickening effects.

Highlights

  • As the world is changing rapidly in many aspects and so humans

  • Shear Thickening Fluid (STF) is the example of dilatant material which comes under non-Newtonian fluid

  • The numerical simulation analysis was led by modeling the separated sand particles and base fluid interaction

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Summary

Introduction

As the world is changing rapidly in many aspects and so humans. If we see the past, maximum battles were due to land and water. This study depicts us the shear thickening effect when we use both Eulerian and Lagrangian models [8]. By using these models, the study shows us the effects of various factors that are linked with rigid body particles on shear thickening. The study shows us the effects of various factors that are linked with rigid body particles on shear thickening Such factors comprise of particle size, shape, volume friction, distributions, and many more the section offers a brief analysis of Shear Thickening Fluid (STF), which is classified by using the description of different things like numerical modeling and analysis.

Review of STF
Modeling of STF
Transient modeling
Materials
Boundary conditions
Multiphase modeling
Rigid body modeling of particles
Results and discussion
Conclusions
Full Text
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