Slip flow and convective heat transfer of nanofluids over a permeable stretching surface

• Published in: Computers & fluids 2012-07, Vol.64, p.34-42
• Main Author: Das, Kalidas
• Format: Article
• Language: English
• Subjects: Al2O3–water nanofluid; Applied sciences; Chemistry; Colloidal state and disperse state; Computer simulation; Condensed matter: structure, mechanical and thermal properties; Convective heat transfer; Cu–water nanofluid; Energy; Energy. Thermal use of fuels; Exact sciences and technology; Fluid dynamics; Fluid flow; Fundamental areas of phenomenology (including applications); General and physical chemistry; Heat transfer; Laminar boundary layers; Laminar flows; Mathematical models; Nanocomposites; Nanofluids; Nanomaterials; Nanostructure; Physical and chemical studies. Granulometry. Electrokinetic phenomena; Physics; Slip; Slip velocity; Suction/injection; Theoretical studies. Data and constants. Metering; Thermal properties of condensed matter; Thermal properties of small particles, nanocrystals, nanotubes
• ISSN: 0045-7930; 1879-0747
• DOI: 10.1016/j.compfluid.2012.04.026

► Effects of slip flow and convective heat transfer of nanofluids over a stretching sheet have been studied. ► Numerical results are presented through graphs and tables. ► The skin friction coefficient Cf decreases with the increase in the slip parameter k. ► The slip parameter decreases the numerical value of wall temperature gradient for nanofluids. ► The results demonstrate that nanofluids reduce heat transfer rate compared to their own base fluid. This article presents a numerical investigation on the convective heat transfer performance of nanofluids over a permeable stretching surface in the presence of partial slip, thermal buoyancy and temperature dependent internal heat generation or absorption. Two different types of nanoparticles, namely Cu and Al2O3 are considered by using water-based fluid with Prandtl number Pr=6.785 for simulating the heat transfer and flow behavior of nanofluids. The proposed model is validated with the available experimental data and correlations. The similarity solutions which depend on nanoparticle volume fraction ϕ (0⩽ϕ⩽0.2), slip parameter, suction/injection parameter, etc. are presented through graphs and tables and discussed in detail.