Application of feed pellets in animal and aquatic farming industries has grown because of both the physical and the nutritional benefits it provides. Development of feed pellets manufacturing industry is also considerable. Steam conditioning process, which plays an important role in pelleting production, includes heating feed particles, adding moisture, and mixing the mash. Pellets cooling and drying processes are also involved in heat transfer phenomena. In this study, thermal CONDUCTIVITY of feed pellets was determined at different temperatures ranging from 25 to 85oC and moisture contents of 11.8 to 18.2% wb. It was measured by the transient technique using the line heat source method assembled in a thermal CONDUCTIVITY probe. It turned out that decreasing moisture contents from 18.2 to 11.8% (wb) produced non-linear reduction in thermal CONDUCTIVITY.The average values of thermal CONDUCTIVITY changed from 0.1509 to 0.2143 W m-1 oC-1 at different moisture contents. Tests conducted on two pellet size categories (based on nominal diameter) revealed a significant difference in thermal CONDUCTIVITY between these categories. The thermal conductivities of the first category (minor than nominal dia.) appeared to be 8.5% higher than those of the second category (superior to nominal dia.).Average values of thermal CONDUCTIVITY changed from 0.1538 to 0.2333 W m-1 oC-1 for the first category and from 0.1235 to 0.2456 W m-1 oC-1 for the second category (in 25oC). In addition, some empirical models were developed to express thermal properties as a function of moisture content and temperature.

An empirical electrical CONDUCTIVITY assessment of nanofluids comprising CuO nanoparticles water-based in different concentrations, particles size and various temperatures of nanofluids has been carried out in this paper. These experimentations have been done in deionized water with nanoparticles sizes such as 89, 95, 100 and 112 nm and concentrations of 0.12 g/l, 0.14 g/l, 0.16 g/l and 0.18 g/l so nanofluids obtain in temperatures such as 25oC, 35oC, 45oC and 50oC for investigation of their electrical CONDUCTIVITY. It is observed that, in water-based nanofluids, the electrical CONDUCTIVITY increases with increasing in both nanofluids temperatures and concentration respectively in the range 25-50oC and 0.12-0.18g/l. But in nanoparticles size rising in nanofluids we observe that electrical CONDUCTIVITY has a few increase when nanoparticles have 95nm diameters, so decrease for biggest nanoparticles such as 100 and 112nm. It seems that there is an optimum in electrical CONDUCTIVITY with resize of nanoparticles.

Liquid paraffin as a coolant fluid can be applied in electronic devices as a result to its suitable capabilities such as electrical insulating, high heat capacity, chemical and thermal stability, and high boiling point. However, the poor thermal CONDUCTIVITY of paraffin has been confined its thermal cooling application. Addition of high conductor nanoparticles to paraffin can fix this drawback properly. In this article, the influence of the nanoparticles on the thermal CONDUCTIVITY of base material was assessed. Temperature (20-50° C) and volume fractions (0-3%) effect on the thermal CONDUCTIVITY of paraffin/alumina nanofluids have been considered. Nanofluid samples were prepared applying the two-step method. The thermal CONDUCTIVITY was measured by a KD2 pro instrument. The results indicated the thermal CONDUCTIVITY augments smoothly with an increase in volume fraction of nanoparticles as well as temperature. Moreover, it observed that for nanofluids with more volume-fraction the temperature affection is more remarkable. Thermal CONDUCTIVITY enhancement (TCE) and effective thermal CONDUCTIVITY (ETC) of the nanofluid was calculated and new correlations were reported to predict the values of them based on the volume fraction of nanoparticles and temperature of nanofluid accurately.

In the present work, the integral equations method is used to calculate transport properties of polar fluids. For this goal, we use the Stockmayer potential and examine theoretically the thermal CONDUCTIVITY of several refrigerant mixtures such as R125+R134a, R125+R32, R125+R152a, R134a+R32, R152a+R32, R134a+R143a, and R125+R143a. We solve numerically the Ornstein-Zernike (OZ) equation using the Hypernetted Chain (HNC) approximation for binary fluid mixtures and obtain the pair correlation functions. Finally, the temperature dependence of thermal CONDUCTIVITY is studied using Vesovic-Wakeham method and compared with available results.