Drag Reduction in Homogeneous Turbulence by Scale-Dependent Effective Viscosity
Roberto Benzi, Emily S. C. Ching, Itamar Procaccia
Abstract
The phenomenon of drag reduction by polymer additives had been studied in simulations on the basis of non-Newtonian fluid mechanical models that take into account the field of polymer extension (conformation tensor) and its interaction with the velocity field. Drag reduction was found in both homogeneous and wall bounded turbulent flows. In the latter case it was shown recently that the notion of scale-dependent effective viscosity allows quantitative predictions of the characteristics of drag reduction in close correspondence with experiments. In this paper we demonstrate that also drag reduction in homogeneous turbulence is usefully discussed in terms of a scale-dependent viscosity. In other words, the essence of the phenomena under study can be recaptured by an "equivalent" equation of motion for the velocity field alone, with a judiciously chosen scale-dependent effective viscosity that succinctly summarizes the important aspects of the interaction between the polymer conformation tensor field and the velocity field. We will also clarify here the differences between drag reduction in homogeneous and wall bounded flows.
Create a lesson
Related papers
Solutions of the Navier-Stokes Equation Through Affine Transformations: The Triad Triplet
Ö. D. Gürcan, L. Manfredini, P. Morel
Mean flow scaling in stably stratified temporally developing turbulent boundary layers
Hardy Baptiste, Costa Pedro
Mixed-precision GPU algorithms for efficient turbulent flow simulations with Raviart-Thomas finite elements
Ivan Prusak, Enes Mustafa Soydan, Ivan Pribec et al.
Experimental study of the impact dynamics of polymeric hollow droplets
Mohammad Mahdi Nasiri, Mohammad Reza Daneshvar Garmroodi, Damian Vadillo et al.
Well-posedness of neural turbulence closures and tangent dissipation
Zhen Zhang, George Em Karniadakis
IB-Flows: an open-source multi-GPU immersed boundary code for fluid-structure interaction
Giovanni Vagnoli, Martino Andrea Scarpolini, Fabio Guglietta et al.