The O ε4) approximation of J is established for a small inclusion of given location, shape and conductivity embedded in a 2-D region of arbitrary shape and conductivity, and then generalized to several such inclusions.
This paper studies the influence of microfracture orientation, shape and conductivity on the effective electrical properties of carbonate formations.
However, the shape and conductivity of the large heterogeneity are well reconstructed in the 400 600 km depth range.
We have demonstrated the ability to recover the shape and conductivity of a large heterogeneous sctructure positioned in the mid-mantle from a closed-loop simulation of the Swarm satellite mission that includes realistic model of satellite trajectories, instrument noise, and separation of signals of core, lithospheric, ionospheric, magnetospheric, and induced origin.
By using noise-free data, an excellent recovery of the shape and conductivity of an anomalous large-scale structure at mid-mantle depths (400 km–700 km) has been shown to be possible, whereas the resolution of more detailed structures is limited by the available data.
TRPS, which is based on the Coulter principle, has been used recently for size and concentration analysis of particles from the micrometer range to the nanoscale (with a lower detection size limit of ∼40 nm), as well as to infer information about key properties in solution, including their charge, shape, and conductivity.
According to the theories based on effective medium theory of thermal conductivity of composite, the size, shape, and thermal conductivity of filler have a great influence on thermal conductivity enhancement of polymer composites and nanofluids [19,20], but the influence of the shape of CuO particles on thermal conductivity improvement in thermal grease system has been overlooked.
Select both shapes and go to Pathfinder.
Select both shapes and group them.
For nanofluids consisting of in-line arrays of perfectly dispersed two-dimensional circular, square or hollow particles, for example, the heat conduction is diffusion-dominant so that the effective thermal conductivity can be predicted adequately by the mixture rule with the effect of particle shape and particle fluid conductivity ratio incorporated into its empirical parameter [80].
