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This critical size is used to calculate the relative contribution of particles in a distribution based on their size being cut or looped by mobile dislocations.
We can readily see that in the indoor samples (Plate and China, First Floor) the contribution of particles to the overall degradation is not statistically significant (x is close to 1).
However, the specific size distribution of cometary dust together with an enhanced efficiency of particles comparable to wavelength discussed in Section 2, may make the contribution of particles larger than 3 µm relatively insignificant.
By neglecting two-way temperature coupling (q2w), we forbid the contribution of particles to the heat transfer enhancement in nanofluids and only calculate the contribution of enhancement due to the dispersion of particle in the fluid medium.
Numerical simulation of light scattering by irregularly shaped particles shows that if the target particles obey a power-law size distribution similar to what has been observed for cometary dust, then the relative contribution of particles withx> 15 is generally weak and, therefore, in various realistic circumstances, it can be inconsequential.
Histogram at top shows the fractional contribution of particles from each dataset to each Group.
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The strong contribution of particle rearrangement in the materials with fumed silica continued throughout the whole compression profile, which prohibited an in-depth material characterization.
This Reynolds dependency is attributed to that of the radial distribution function at contact, which measures the contribution of particle clustering to the collision kernel.
Although the direct contribution of particle Brownian motion to the nanofluid conductivity is negligible, its indirect effect could be significant because it plays an important role in processes of particle aggregating and coupled transport.
Thus, the overall thermal conductivity of suspension start decreasing below sphericity of 0.6 but it is increasing in case of Hamilton and Crosser model [28] due to the only contribution of particle shape parameter n.
We used principal-component analysis in conjunction with multiple linear regression analysis to determine the contribution of particle components to changes in these end points.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com