Abstract—Heat transfer due to forced convection of copper water based nanofluid has been predicted by Artificial Neural network (ANN). The present nanofluid is formed by mixing copper nanoparticles in water and the volume fractions are considered here are 0% to 15% and the Reynolds number are kept constant at 100. The back propagation algorithm is used to train the network. The present ANN is t...

Geothermal energy resources such as geopressured geothermal brine (GGB) reservoirs and hot saline aquifers (HSA) can be potential clean energy resources provided the heat extraction from the subsurface is done in an economic and environmental friendly manner. In the proposed study, we are simulating the heat transfer processes around a downhole heat exchanger placed in a long lateral wellbore i...

in this work, three-dimensional turbulent forced convection flow through a b-type section pipe, which porous material inserted at the bottom wall, is investigated numerically. the b-type section pipe are used in cooling systems, such as cars’ radiators. the main purpose of this research is to enhance heat transfer and to reduce the scales of such systems. the governing equations are formulated ...

Research in convective heat transfer using suspensions of nanometer-sized solid particles in base liquids started only over the past decade. Recent investigations on nanofluids, as such suspensions are often called, indicate that the suspended nanoparticles markedly change the transport properties and heat transfer characteristics of the suspension. This second part of the review covers fluid f...

Nanofluids, in which nano-sized particles (typically less than 100 nm) are suspended in liquids, have emerged as a possible effective way of improving the heat transfer performance of common fluids. In this paper a numerical study is performed to analyze the wall shear stress and heat transfer coefficient of γAl2O3-water nanofluids under laminar forced convection through a circular pipe. It is ...

the fluid flow and heat transfer in lid-driven enclosures filled with cu-water nanofluid is numerically investigated. the moving vertical walls of the enclosure  are maintained in a constant temperature, while the horizontal walls are insulated. the hybrid scheme is used to discretize the convection terms and simpler algorithm is adopted to couple the velocity field and pressure in the momentum...

The mixed convection heat transfer and fluid flow behaviors in a lid– driven square cavity filled with high Prandtl number fluids at low Reynolds number have been studied using Thermal Lattice Boltzmann Method (TLBM). The LBM has built up on the D2Q9 model called the Lattice-BGK (Bhatnagar–Gross–Krook) model. The Lattice Boltzmann momentum and energy equations are considered simultaneously to s...