TY - JOUR
T1 - Finite element computational procedure for convective flow of nanofluids in an annulus
AU - Uddin, M. J.
AU - Rahman, M. M.
N1 - Funding Information:
We would like to thank the anonymous referees for their constructive comments for the further improvement of the paper. M. M. Rahman is thankful to The Research Council (TRC) of Oman for funding under the Open Research Grant Program: ORG/SQU/CBS/14/007 and College of Science, Sultan Qaboos University for the Grant IG/SCI/DOMS/16/15. M. J. Uddin is grateful to TRC for funding through a Doctoral Fellowship.
Publisher Copyright:
© 2018 Elsevier Ltd
PY - 2018/6
Y1 - 2018/6
N2 - In the present study, the detailed procedures of Galerkin weighted residual technique of finite element method (FEM) for solving two-dimensional incompressible natural convective flow of nanofluids using nonhomogeneous dynamic model are discussed for the first time. The physical domain is discretized by using unstructured triangular elements. The governing partial differential equations of nanofluids are made dimensionless using the suitable transformation of variables for weak formulations. The method of weighted residuals is used for obtaining the approximate solutions. This approach typically leads to a sparse and indefinite matrix that is difficult to solve efficiently. The formation of an indefinite matrix is avoided in the present work by introducing an artificial compressibility term in the continuity equation. Unequal order interpolation functions are used for pressure, velocity, temperature and concentration variables. The coefficient matrices are calculated using interpolation functions. Assembling of triangular elements in the discretized domain is discussed elaborately. The process of calculating boundary integrals is also discussed. The Newton-Raphson iteration technique along with Euler-backward scheme is used to solve the global matrix. The sample results are obtained for the convective flow of nanofluids in a concentric annulus. It shows that the annulus of having higher thickness is the best performer enhancing convective heat transfer rates.
AB - In the present study, the detailed procedures of Galerkin weighted residual technique of finite element method (FEM) for solving two-dimensional incompressible natural convective flow of nanofluids using nonhomogeneous dynamic model are discussed for the first time. The physical domain is discretized by using unstructured triangular elements. The governing partial differential equations of nanofluids are made dimensionless using the suitable transformation of variables for weak formulations. The method of weighted residuals is used for obtaining the approximate solutions. This approach typically leads to a sparse and indefinite matrix that is difficult to solve efficiently. The formation of an indefinite matrix is avoided in the present work by introducing an artificial compressibility term in the continuity equation. Unequal order interpolation functions are used for pressure, velocity, temperature and concentration variables. The coefficient matrices are calculated using interpolation functions. Assembling of triangular elements in the discretized domain is discussed elaborately. The process of calculating boundary integrals is also discussed. The Newton-Raphson iteration technique along with Euler-backward scheme is used to solve the global matrix. The sample results are obtained for the convective flow of nanofluids in a concentric annulus. It shows that the annulus of having higher thickness is the best performer enhancing convective heat transfer rates.
KW - Annulus
KW - Artificial compressibility
KW - Dynamic nanofluid model
KW - Finite element method
KW - Shape function
UR - http://www.scopus.com/inward/record.url?scp=85046087477&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85046087477&partnerID=8YFLogxK
U2 - 10.1016/j.tsep.2018.04.011
DO - 10.1016/j.tsep.2018.04.011
M3 - Article
AN - SCOPUS:85046087477
SN - 2451-9049
VL - 6
SP - 251
EP - 267
JO - Thermal Science and Engineering Progress
JF - Thermal Science and Engineering Progress
ER -