Sentence examples for coagulation simulations from inspiring English sources

Difference between the calculated thermal conductivity values of with and without coagulation simulations is 6.13% for 0.02 volume fraction, 7.14% for 0.03 volume fraction and 10.47% for 0.05 volume fraction on Cu(100 nm)/DIW nanofluids.

Fig. 19 Mass loading and effective radius at the end of the temperature-variable coagulation simulation.

In Fig. 23, we show the mixing ratios for the variable coagulation simulation.

Fig. 20 Contour plot of the mass loading and effective radius as functions of time and altitude in the temperature-variable coagulation simulation.

Right: Mass loading and effective radius at 46.5 km and 'pol2' profile in the temperature-dependent coagulation simulation, focusing on the time from 950 to 1050 days, showing the nature of the evolution seen in the simulation.

Fig. 22 Particle size distributions at the end of the temperature-dependent coagulation simulation, shown as contour plots against radius and altitude for each of the five simulated latitude profiles.

The existence of an enhanced number of particles having a large range of sizes in the temperature-dependent coagulation simulation is suggestive that conditions suitable for significant charge exchange among particles that is necessary for the onset of lightning are plausible.

Here, we compare the vertically integrated aerosol mass column abundance for each of the coagulation test simulations.

Fig. 7 Mass loading and effective radius for the coagulation-suppressed simulations Fig. 8 Contour plots of the particle size distributions in the coagulation-suppressed simulations.

Returning to Table 3, we see that the aerosol column abundance of these coagulation-suppressed simulations is almost identical to the nominal case.

We do not show the coagulation-suppressed simulation because the equatorial profiles almost exactly match those seen in the nominal simulation.