Ferromagnetic effects for peristaltic flow of Cu–water nanofluid for different shapes of nanosize particles

Abstract

In this study, tube flow of Cu-water nanofluid is considered with effect of different shaped nanoparticles. Hamilton-Crosser model is used for the effective thermal conductivity of the nanofluids. In addition, heat transfer through the tube is also studied for this problem. Exact solutions are obtained for governing modified equations with long wavelength and low Reynold number approximation case, and are discussed graphically.

Cattaneo–Christov heat flux model for heat transfer of Marangoni boundary layer flow in a copper–water nanofluid

“…The spherical nanoparticle has lower thermal conductivity than other nanoparticles. This conclusion is also supported by Akbar and colleagues …”

“…This conclusion is also supported by Akbar and colleagues. 55 Figures 3 and 4 present effects of the solid volume fraction on Marangoni boundary layer flow and heat transfer of copper-water nanofluid for the sphere particle (m = 3). Both the dimensionless horizontal velocity component ′ ( ) and the dimensionless temperature decreases to zero as the similarity variable increases from zero to ∞ (i.e., increases from zero to ∞) for all selected solid volume fraction.…”

Particle shape and radiation effects on Marangoni boundary layer flow and heat transfer of copper-water nanofluid driven by an exponential temperature

“…In this paper, the influences of nanoparticle shapes on the thermal conductivity of copper-water nanofluid are considered by Table 1 Thermophysical properties of Copper-water nanofluid. using the Hamilton and Crosser model as [31][32][33][34][35][36][37][38][39] k…”

“…In most studies on nanofluid, it is assumed that the nanoparticle is spherical and the effective thermal conductivity of the nanofluid can be approximated by the Maxwell-Garnetts (MG) model as [31][32][33][34]. Unlike most classical works on the copper-water nanofluid, the sphericity and the empirical shape factor of the nanoparticle are taken into account and the effective thermal conductivity can be approximated by the Hamilton and Crosser model [31][32][33][34][35][36][37][38][39], where m is the empirical shape factor. Five different types of nanoparticle shapes, i.e.…”

Temperature-dependent thermal conductivity and viscosity of synthesized α-alumina nanofluids

“…Especially, Al 2 O 3 nanoparticles have excellent dispersion properties in water as well as in ethylene glycol and make stable suspensions (Eastman et al 1996). In addition, alumina is very well known because of its useful properties such as high stability, high hardness, high insulation as well as transparency (Akbar and Butt 2015). Alumina has different metastable phases depending on annealing & Sanjeev K. Gupta sanjeev.gupta@sxca.edu.in temperature such as g, c, d, h, b, j, v, and a-alumina.…”