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Silicone networks behavior

Equilibrium Tensile Behavior of Model Silicone Networks of High Junction Functionality... [Pg.329]

Model reduction aims at simplifying without losing the essence of the dynamic behavior of a model. Reduction of silicon cells should thereby facilitate the understanding of real cells. Strategies for model reduction, pinpointing molecular organizational properties that are essential for network behavior, are essential to make silicon cell models understandable. [Pg.405]

From the simple example in Figure 13.9 it can be shown that the degradation behavior of a silicone can be directly related to its structure. In the RTV condensation-cured system, the onset degradation temperature could be related to the levels of free silanol chain ends present in a complex silicone network. [Pg.196]

Figure 13.10 The 1st derivative TGA thermograms of a series of addition-cured model silicone network elastomers. Left the degradation profiles of a series of monomodal networks from 8-133 KDa intercrosslink molar mass. Right the comparative degradation behavior of an 8 and 133 KDa bimodal system at 0-100 mol % 133 KDa. Figure 13.10 The 1st derivative TGA thermograms of a series of addition-cured model silicone network elastomers. Left the degradation profiles of a series of monomodal networks from 8-133 KDa intercrosslink molar mass. Right the comparative degradation behavior of an 8 and 133 KDa bimodal system at 0-100 mol % 133 KDa.
Figure 23.9 illustrates the different cellular behavior of human dermal fibroblasts (FIDFs) grown on the collagen-coated silicone substrates as a function of substrate stiffness. The control silicone network formulation represented a soft substrate with relatively low elastic modulus and resulted in a round, non -stretched with few irregular protrusions morphology of HDF cells. As the stiffness increased, the substrate induced the stretching... [Pg.365]

In sharp contrast to molecular solids, network solids have very high melting points. Compare the behavior of phosphorus and silicon, third-row neighbors in the periodic table. As listed in Table 11-2. phosphorus melts at 317 K, but silicon melts at 1683 K. Phosphorus is a molecular solid that contains individual P4 molecules, but silicon is a network solid in which covalent bonds among Si atoms connect all the atoms. The vast array of covalent bonds In a network solid makes the entire stmcture behave as one giant molecule. ... [Pg.777]

Nonnegative least squares (NNLS), 6 63 Non-Newtonian behavior of filled networks, 22 572 of silicone fluids, 22 575 versus Newtonian behavior,... [Pg.632]

Deuterium NMR is very sensitive to orientational behavior and order there are a number of papers dealing with constrained polymeric networks. For example, 2H NMR (in both, solid state and solution) is used in the study of the orientational order generated in uniaxially strained rubbers as a function of the crosslink density. Two sets of rubbers (model end-linked silicone rubbers and randomly crosslinked diene networks) were investigated directly (on perdeuterated silicone labelled chains) and indirectly, via C6D6 as an NMR probe for diene rubbers 45). [Pg.18]

Figure 2 shows the predicted, normalized cumulative mass losses based on the behaviors of silicon and sodium for three different values of the leachant renewal frequency. The physical parameters used refer to the leaching of PNL 76 68 borosilicate glass in deionized water at 90°C, (4) and reference is made to the geometric surface area, SA, of the sample. In particular, the curves corresponding to silicon and sodium tend to have the same, constant slope with increasing flow rate. In particular, the curves corresponding to = 1 day 1 practically coincide, indicative of network dissolution control. [Pg.342]

This paper is devoted to the study of a part of the complex phenomena of reinforcement, namely the behavior of the host elastomer in the presence of filler particles. The results of solid state NMR experiments and some other methods for filled PDMS are reviewed. The short-range dynamic phenomena that occur near the filler surface are discussed for PDMS samples filled with hydrophilic and hydrophobic Aerosils. This information is used for the characterization of adsorption interactions between siloxane chains and the Aerosil surface. Possible relations between mechanical properties of filled silicon rubbers on the one hand and the network structure and molecular motions at flie PDMS-Aerosil interface on the other hand are discussed as well. [Pg.782]

Fisher M. L. and Lange F. F., Rheological behavior of slurries and consolidated bodies containing mixed silicon nitride networks. J. Am. Ceram. Soc. 83 (2000) pp.1861-1867. [Pg.539]


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Silicone behavior

Silicone networks

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