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The variations of thermal conductivity enhancement at various ultrasonication times are tabulated in Table 3.
Among variations of thermal paths, the fireports are identified as the best potential for lowest cost.
This paper emphasizes on the variations of thermal diffusivity of sandstone after high-temperature heating.
Open image in new window Fig. 5 Variations of thermal diffusivity of Au nanoparticles as a function of concentration and particle size.
However, after running for a period of time, the feed system approaches the thermal balance and reaches the approximation steady state, and the variations of thermal errors ease.
In this paper, the variations of thermal resistance are discussed, and the thermal resistance is almost a linear function of junction temperature.
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Figure 10 Variation of thermal conductivity as function of ultrasonication time at various temperatures.
The variation of thermal conductivity parameter on the temperature profile is shown in Figure 13.
In order to scrutinize variation of thermal radiation effects, a dimensionless Brinkman number is introduced.
Open image in new window Figure 6 Variation of thermal efficiency versus Reynolds number.
Figure 6 Thermal conductivity of nanofluids: (a) Variation of thermal conductivity of nanofluids at 25°C with mass fraction of nanoparticles; (b) variation of thermal conductivity with temperature for Cu/kerosene-based nanofluids.
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