objective(s): this study aims to evaluate and predict the thermal conductivity of iron oxide nanofluid at different temperatures and volume fractions by artificial neural network (ann) and correlation using experimental data. methods: two-layer perceptron feedforward artificial neural network and backpropagation levenberg-marquardt (bp-lm) training algorithm are used to predict the thermal cond...

Common heat transfer fluids such as water, ethylene glycol, and engine oil have limited heat transfer capabilities due to their low heat transfer properties. Nanofluids are suspensions of nanoparticles in base fluids, a new challenge for thermal sciences provided by nanotechnology. In this study, we are to optimize and report the effects of various parameters such as the ratio of the thermal co...

experimental study of effective thermal conductivity of zno/eg nanofluid is presented in thisresearch. the nanofluid was prepared by dispersing zno nanoparticles in ethylene glycol using asonicator and adding surfactant. ethylene glycol based nanofluid containing zno nanoparticlewith a nominal diameter of 18 nm at different solid volume fractions (very low to high) atvarious temperatures was ex...

thermal conductivity is an important property of juices in the prediction of heat- and mass-transfer coefficients and in the design of heat- and mass-transfer equipment for the fruit juice industry. an artificial neural network (ann) was developed to predict thermal conductivity of pear juice. temperature and concentration were input variables. thermal conductivity of juices was outputs. the op...

nanofluids are colloidal suspension of nanoparticles in a base fluid and have superior thermal properties in comparison to their base fluids. novel properties of nanofluids are yet to be explored to the highest potential. currently extensive investigation has been done on thermal conductivity of metallic and oxide nanofluids. composites offer the advantage of tailor made properties and fluids w...

The lattice Boltzmann method (LBM) was used to analyze two-dimensional (2D) non-Fourier heat conduction with temperature-dependent thermal conductivity. To this end, the evolution of wave-like temperature distributions in a 2D plate was obtained. The temperature distributions along certain parts of the plate, which was subjected to heat generation and constant thermal conductivity condit...

The aim of this work is to determine the thermal conductivity of mesoporous silicon (PoSi) by fitting the experimental results with simulated ones. The electrothermal response (resistance versus applied current) of differently designed test lines integrated onto PoSi/silicon substrates and the bulk were compared to the simulations. The PoSi thermal conductivity was the single parameter used to ...

Nanofluids are suspensions of nanoparticles in the base fluids, a new challenge for thermal sciences provided by nanotechnology. In this paper, the tested fluids are prepared by dispersing the Al and Cu into water at three different concentrations such as 500, 1000 and 2000 ppm. Thermal conductivities of these fluids are measured experimentally by thermal property analyzer i.e. KD2 Pro by using...