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Electrical conductivity of the composites is determined using a resistor network algorithm.
For routine tests a three-dimensional resistor network ('electronic skin') was developed and designed.
This paper presents the random resistor network approach as an alternative method to the effective medium theory based approach.
Therefore, a new method using a subdivided resistor network to assess pitting corrosion is proposed and verified.
A 3D resistor network model that has been developed to determine the effective conductivity of a given SOFC electrode microstructure, the Resistor Network or ResNet model, is introduced in this paper.
The model requires the discretization of a 3D microstructure into voxels, based on which a mixed resistor network is drawn.
Similar(17)
In this study we discuss methods for solving random resistor networks and similar problems.
Resistor networks are typically specified with the same resistance tolerances as discrete resistors: 0.1%, 1%, and 5%.
The discrete random fiber networks representing membranes are converted to resistor networks and solved for current flow and ionic conductivity.
A new class of conductivity models based on the application of the multi-value random resistor networks to the studies of CPE was developed by the authors.
The equation system is solved by successive approximation, as suggested by the Cross method, which is used in engineering practice for resolving resistor networks under steady state conditions.
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