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Conduction mechanisms Percolation

In addition to the amount of filler content, the shape, size and size distribution, surface wettability, interface bonding, and compatibility with the matrix resin of the filler can all influence electrical conductivity, mechanical properties, and other performance characteristics of the composite plates. As mentioned previously, to achieve higher electrical conductivity, the conductive graphite or carbon fillers must form an interconnected or percolated network in the dielectrical matrix like that in GrafTech plates. The interface bonding and compatibility between... [Pg.324]

CMP processes also leave a metallic contamination typically in the 10"-10 at/cm range. These contaminants arise from the outcropping metals, the slurries, and the mechanical environment of the polishers. In front-end applications (STI), these levels are prohibited because they are not compatible with the following hot processes. In the case of back-end steps, these parasitic metals must be removed as well, even if this seems more paradoxical with the use of metallization steps. Indeed a large amount of charges at the interconnection level or the presence of mobile ions such as sodium or potassium can induce disturbances during the electrical information transfer. Furthermore, a superficial conductive metallic contamination can generate shorts between two adjacent lines by percolation conduction mechanism. And last but not least, fast diffusers such as copper can reach... [Pg.185]

The electron mobilities at 296 and 420°K are given for several Cr-doped and -doped samples in Table II. The data for the Cr-doped crystals should be considered less accurate since a mixed-conductivity analysis was necessary in most cases (Look, 1980). However, the temperature dependences are not unlike those of conductive GaAs samples with similar impurity concentrations (1016—1018 cm-3). At least two of the crystals (MA 287/80 and MOR 56/76) appeared to be inhomogeneous, as evidenced by nonlinear Arrhenius plots. However, it is doubtful that the bulk of the data require a percolation-type conduction mechanism to be operative, as has been suggested (Robert et ai,... [Pg.95]

There are two types of conductive adhesives conventional materials that conduct electricity equally in all directions (isotropic conductors) and those materials that conduct in only one direction (anisotropic conductors). Isotropically conductive materials are typically formulated by adding silver particles to an adhesive matrix such that the percolation threshold is exceeded. Electrical currents are conducted throughout the composite via an extensive network of particle-particle contacts. Anisotropically conductive adhesives are prepared by randomly dispersing electrically conductive particles in an adhesive matrix at a concentration far below the percolation threshold. A schematic illustration of an anisotropically conductive adhesive interconnection is shown in Fig. 1. The concentration of particles is controlled such that enough particles are present to assure reliable electrical contacts between the substrate and the device (Z direction), while too few particles are present to achieve conduction in the X-Y plane. The materials become conductive in one direction only after they have been processed under pressure they do not inherently conduct in a preferred direction. Applications, electrical conduction mechanisms, and formulation of both isotropic and anisotropic conductive adhesives are discussed in detail in this chapter. [Pg.841]

Classical percolation theory attempts to interpret the conductive mechanism in parallel and perpendicular directions which gives the following expression for the DC-conductivity... [Pg.453]

Fig. 8.6 Schematic representation of the electrical crarductivily dependence on the site occupation probability when tunnelling is the main conduction mechanism. The dotted lines indicate the local percolation thresholds when all corresponding near neighbours are considered. The overall conductivity behaviour appears to have a staircase dependence of the occupation probability leading to a system of multiple thresholds (refer to the text for more details)... Fig. 8.6 Schematic representation of the electrical crarductivily dependence on the site occupation probability when tunnelling is the main conduction mechanism. The dotted lines indicate the local percolation thresholds when all corresponding near neighbours are considered. The overall conductivity behaviour appears to have a staircase dependence of the occupation probability leading to a system of multiple thresholds (refer to the text for more details)...
Electrically conductive polymer nanocomposites are widely used especially due to their superior properties and competitive prices. It is expected that as the level of control of the overall morphology and associated properties increases we will see an even wider commercialisation on traditional and totally novel applications. In this section we have discussed the basic principles of the percolation theory and the different types of conduction mechanisms, outlined some of the critical parameters of controlling primarily the electrical performance and we have provided some indications on the effect such conductive fillers have on the overall morphology and crystallisation of the nanocomposite. The latter becomes even more critical if we take into consideration that modem nanosized fillers offer unique potential for superior properties at low loadings (low percolation thresholds) but have a more direct impact on the morphology of the system. Furthermore we have indicated that similar systems can have totally different behaviour as the preparation methods, the chain conformation and the surface chemistry of the fillers will have a massive... [Pg.232]

For phosphoric acid-doped polybenzimidazole membranes with an intermediate Ap Ta (3.5), hydrogen bonds are likely formed as shown by infrared spectroscopy [61, 62] and molecular dynamic simulation [63]. The overall proton conductivity of the acid-doped membranes is at least an order of magnitude lower than that of pure phosphoric acid due to the presence of the solid polymer phase. The polymer does not seem to interrupt the extensive hydrogen bond network of the phosphoric acid, though it does decrease the percolation within the liqmd-like part of the phosphoric acid domain. As a result, the proton conducting mechanism remains the same, i.e., primarily via the Grotthuss... [Pg.50]

Here a and cp are the systems conductivity and filler loading in volume%, respectively. The universal value for the critical exponent (t] is 2 for 3D systems. Many conductive filler networks, including CNT networks in polymeric composites, exhibit a non-universal value for t. This has been linked to the fact that the electrical percolation networks in these systems are not geometrical, and tunneling between nearest-neighbors governs the conduction mechanism. [Pg.9]

The metallic temperature dependence of S(T) observed at surprisingly low concentrations of PANI-CSA indicates that the microscopic conduction mechanism is not changed as PANI-CSA is diluted in PMMA. Although ai T) is strongly dependent on the mean free path and the number of connected pathways, S(T) is rather insensitive to the change in the number of pathways once the connected paths are formed above the percolation threshold. [Pg.78]

PANI-CSA PMMA Electrical conductivity percolation occurs at 0.04-0.07 wt% mechanical percolation appears to be at 1 wt% 1104... [Pg.206]

The brief discussion above shows that the structure of a polymer electrolyte and the ion conduction mechanism are complex. Furthermore, the polymer is a weak electrolyte, whose ions form ion pairs, triple ions, and multidentate ions after its ionic dissociation. Currently, there are several important models that attempt to describe the ion conduction mechanisms in polymer electrolytes Arrhenius theory, the Vogel-Tammann-Fulcher (VTF) equation, the Williams-Landel-Ferry (WLF) equation, free volume model, dynamic bond percolation model (DBPM), the Meyer-Neldel (MN) law, effective medium theory (EMT), and the Nernst-Einstein equation [1]. [Pg.361]

In this multiphase system, the term double percolation is defined to describe the conductive mechanism of polymer nanocomposites with a percolated network of nanofiller in one phase, which enables the formation of the conductive network through the whole polymer matrix. It has been proved that addition of conductive nanofillers into an immiscible polymer blend allows for the formation of cocon-tinuous structure and efficiently decreases the percolation threshold of nanofiUers due to the selective localization of the conductive networks. For example, Petra Poitschke et al. [89] introduced CNTs into Polycarbonate/Poly(styrene-acrylonitrile) (PC/SAN) to prepare CPCs. The percolation threshold of CNTs was less than 1 wt %, which is lower than those of CNTs in single PC matrix (1.2 wt%) and in single SAN phase (2.0 wt%).The localization of the conductive fiUer in polymer matrix depends on the interfacial energies of components and can be predicted by following Eq. (2) [86]. [Pg.13]

ERF dielectric response can be appropriately described by the classical Debye circuit model (Section 4-4). The model contains 1 pF/cm bulk base oil capacitance in parallel with Tohm range base oil resistance This combination results in a circuit with a time constant on the order of 10 seconds, typical of the impedance behavior of dielectric materials with very low ionic content. The presence of 10 to 50 percent polarizable particles results in the development of a parallel bulk-solution conduction mechanism through the particles. When compared to the ions that transport current by electrophoretic mobility, the ERF particles have larger sizes and lower mobility and are capable of becoming polarized and reoriented in the external electric field. This percolation type of conduction mechanism can be represented by a series of the particle resistance and the contact impedance between the particles (Figure 12-8). As the ionic content is essentially absent in the... [Pg.291]


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See also in sourсe #XX -- [ Pg.62 , Pg.67 , Pg.114 , Pg.153 , Pg.240 , Pg.256 , Pg.286 , Pg.289 , Pg.291 ]




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Conductance mechanisms

Conducting Mechanisms

Conductivity mechanism

Percolates

Percolating

Percolation

Percolation conductivity

Percolation mechanism

Percolators

Percoll

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