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Note: Optimization of the numerical data analysis for conductivity percolation studies of drying moist porous systems
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10.1063/1.4863321
/content/aip/journal/rsi/85/2/10.1063/1.4863321
http://aip.metastore.ingenta.com/content/aip/journal/rsi/85/2/10.1063/1.4863321
View: Figures

Figures

Image of FIG. 1.
FIG. 1.

The overlay of the genuine dielectric loss spectrum [gray, ɛ″()] and calculated DC contribution, [black, ɛ″()], for Aerosil A150 and Algae, at distinctively different hydration levels each. “c” in the A150 panel corresponds to the close proximity of the percolation threshold.

Image of FIG. 2.
FIG. 2.

Typical changes in the dielectric loss spectrum of a moist granular sample (Aerosil A150) in the course of drying. To emphasize the DC conductivity contribution to the spectrum, × ɛ″() rather than ɛ″() is used for the ordinate axis, cf. Eq. (1) . Blackened part of the surface corresponds to the maximum spectral range of constant μ × ɛ″(); (LSF: 2 > 0.9, slope < 0.001), at each given instance of time, , in the course of drying.

Image of FIG. 3.
FIG. 3.

Comparison of the percolation scaling of ɛ″ with , in drying moist Aerosil A90, (a) measured at four distinctively different frequencies, and (b) for three different Aerosil samples, with ɛ″ measured at the same frequency 1 kHz; for comparison the scaling of is also shown. Asterisks denote values at the percolation threshold.

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/content/aip/journal/rsi/85/2/10.1063/1.4863321
2014-02-03
2014-04-16
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752b84549af89a08dbdd7fdb8b9568b5 journal.articlezxybnytfddd
Scitation: Note: Optimization of the numerical data analysis for conductivity percolation studies of drying moist porous systems
http://aip.metastore.ingenta.com/content/aip/journal/rsi/85/2/10.1063/1.4863321
10.1063/1.4863321
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