The DOI matches its Crossref record; 56 of the 56 references it cites were found in a registry or an index.
Combined Newton–Raphson and Streamlines-Upwind Petrov–Galerkin iterations for nanoparticles transport in buoyancy-driven flow
Open accessAbstract
The present study deals with the finite element discretization of nanofluid convective transport in an enclosure with variable properties. We study the Buongiorno model, which couples the Navier–Stokes equations for the base fluid, an advective-diffusion equation for the heat transfer, and an advection-dominated nanoparticle fraction concentration subject to thermophoresis and Brownian motion forces. We develop an iterative numerical scheme that combines Newton’s method (dedicated to the resolution of the momentum and energy equations) with the transport equation that governs the nanoparticles concentration in the enclosure. We show that the Stream-Upwind Petrov–Galerkin regularization approach is required to solve properly the transport equation in Buongiorno’s model, in the Finite Element framework. Indeed, we formulate this ill-posed equation as a variational problem under mean value constraint. Numerical analysis and computations are reported to show the effectiveness of our proposed numerical approach in its ability to provide reasonably good agreement with the experimental results available in the literature.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“On the other hand, a more advanced two-phase model taking into account the Brownian diffusion and thermophoresis diffusion slip mechanisms as originally proposed by Buongiorno45, then further improved for numerical stability by Riahi et al.48, and upgraded by Amidu et al.47 to also include nanoparticles sedimentation effects, would be more suitable for such multi-cycle simulations.”
From A critical assessment of nanoparticles enhanced phase change materials (NePCMs) for latent heat energy storage applications (2023) · cites this paper as [48]
Citations
Cites
Convective Transport in Nanofluids
Buongiorno, J. (2006) · Journal of Heat Transfer · doi:10.1115/1.2150834 · Cited by 7,013
The Finite Element Method for Elliptic Problems
Ciarlet, P. G., & Oden, J. T. (1978) · Society for Industrial and Applied Mathematics eBooks · doi:10.1115/1.3424474 · Cited by 6,380
Brooks, A., & Hughes, T. J. R. (1982) · Computer Methods in Applied Mechanics and Engineering · doi:10.1016/0045-7825(82)90071-8 · Cited by 5,430
Finite Element Methods for Navier-Stokes Equations: Theory and Algorithms
Girault, V., & Raviart, P.-A. (1986) · CERN Document Server (European Organization for Nuclear Research) · doi:10.1007/978-3-642-61623-5 · Cited by 4,331
Theory and practice of finite elements
Ern, A., & Guermond, J. (2004) · Applied mathematical sciences · doi:10.1007/978-1-4757-4355-5 · Cited by 2,484
Review of convective heat transfer enhancement with nanofluids
Kakaç, S., & Pramuanjaroenkij, A. (2009) · International Journal of Heat and Mass Transfer · doi:10.1016/j.ijheatmasstransfer.2009.02.006 · Cited by 1,950
Wen, D., & Ding, Y. (2004) · International Journal of Heat and Mass Transfer · doi:10.1016/j.ijheatmasstransfer.2004.07.012 · Cited by 1,625
A numerical solution of the Navier-Stokes equations using the finite element technique
Taylor, C., & Hood, P. (1973) · Computers & Fluids · doi:10.1016/0045-7930(73)90027-3 · Cited by 1,347
A review of the applications of nanofluids in solar energy
Mahian, O., Kianifar, A., Kalogirou, S. A., Pop, I., & Wongwises, S. (2013) · International Journal of Heat and Mass Transfer · doi:10.1016/j.ijheatmasstransfer.2012.10.037 · Cited by 1,288
Chon, C. H., Kihm, K. D., Lee, S. P., & Choi, S. U. S. (2005) · Applied Physics Letters · doi:10.1063/1.2093936 · Cited by 1,278
Research works printed but not linked: 3
- Shekar BC, Kishan N (2015) Finite element analysis of natural convective heat transfer in a porous square cavity filled with nanofluids in the presence of thermal radiation. J Phys 662:012017
- Balla CS, Naikoti K (2016) Finite element analysis of magnetohydrodynamic transient free convection flow of nanofluid over a vertical cone with thermal radiation. Proc Inst Mech Eng N 230(3):161–173
- Burman E (2010) Consistent supg-method for transient transport problems: stability and convergence. Comput Methods Appl Mech Eng 199(17–20):1114–1123 · DOI
Cited by
Amidu, M. A., Ali, M., Alkaabi, A. K., & Addad, Y. (2023) · Scientific Reports · doi:10.1038/s41598-023-34907-0 · Cited by 101
Self-citation
Metadata
- Authors
- Riahi, M. K., Ali, M., Addad, Y., & Abu-Nada, E.
- Affiliations
- Khalifa University of Science and Technology (AE)
- Corresponding author
- Riahi, M. K.
- Venue
- Journal of Engineering Mathematics
- Published
- 2022-01-19
- Volume
- 132
- Issue
- 1
- ISSN
- 0022-0833 (ISSN-L)
- 1573-2703
- OpenAlex
- W4226161547
- Cited by
- 20
- References
- 56
- Citations by year
- 2026: 2 · 2024: 4 · 2023: 8 · 2022: 6
- FWCI
- 1.31
- Type
- journal article
- Language
- en
- Open access
- green
- arxiv.org
- Licence
- www.springer.com/tdm (tdm)
- www.springer.com/tdm (vor)
- Locations
- Journal of Engineering Mathematics (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University) (cc-by)
- Topics
- Physical Sciences › Chemical Engineering › Fluid Flow and Transfer Processes › Nanofluid Flow and Heat Transfer
- Physical Sciences › Engineering › Computational Mechanics › Advanced Numerical Methods in Computational Mathematics
- Physical Sciences › Engineering › Computational Mechanics › Heat Transfer and Numerical Methods
- Keywords
- nanofluids, Buongiorno model, natural convection, enclosure, variable material properties, Newton's method, SUPG, advection-dominated transport, nanoparticle concentration, thermophoresis, Brownian motion, finite element discretization, variational formulation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.