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3-D least-squares finite element analysis of flows of generalized Newtonian fluids.

Authors :
Kim, Namhee
Reddy, J.N.
Source :
Journal of Non-Newtonian Fluid Mechanics. Apr2019, Vol. 266, p143-159. 17p.
Publication Year :
2019

Abstract

Highlights • Development of the least-squares finite element model to study non-Newtonian fluids in three dimensions. • Use of the spectral approximation functions and associated finite elements in three dimensions. • Parametric study of the Carreau–Yasuda viscosity model for three-dimensional backward-facing step and lid-driven cavity problems. • Both verification (with manufactured solutions) and validation (against available experimental data) results are presented. Abstract A mixed least-squares finite element model with spectral/ hp approximations was developed to analyze three-dimensional, steady, and incompressible flows of generalized Newtonian fluids. The Carreau–Yasuda constitutive model was used for viscosity model. Velocity, pressure, and stress are the field variables of the finite element model (hence, called a mixed model). The least-squares formulation offers a variational setting for the Navier–Stokes equations; hence no compatibility of the approximation spaces used for the velocity, pressure, and stress fields is imposed if the polynomial order is sufficiently high. Also, using high-order spectral/ hp elements in the least-squares formulation for the Navier–Stokes equations alleviates various forms of locking and accurate results can be obtained with exponential convergence. To verify the present formulation and computational module, the method of manufactured solutions and two different benchmark problems (namely, lid-driven cavity flow and backward-facing step flow) are used. Then the effect of different parameters of the Carreau–Yasuda model on the flow behavior is studied. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03770257
Volume :
266
Database :
Academic Search Index
Journal :
Journal of Non-Newtonian Fluid Mechanics
Publication Type :
Academic Journal
Accession number :
135624238
Full Text :
https://doi.org/10.1016/j.jnnfm.2019.03.004