Network structure, influencing factors

In the case under consideration different physical structures were realized due to the formation of the polymer network in the surface layers the filler surface, as usually happens in filled systems. As is known79, this induces considerable changes in the structure of the material. It is also possible that in these conditions a more defective network structure is formed. These results show that even the purely physical factors influencing the formation of the polymer network in the interface lead to such changes in the relaxation behavior and fractional free-volume that they cannot be described within the framework of the concept of the iso-free-volume state. It is of great importance that such a model has been devised for a polymer system that is heterogeneous yet chemically identical. 

Grillet et al. (1991) studied mechanical properties of epoxy networks with various aromatic hardeners. It is possible to compare experimental results obtained for networks exhibiting similar Tg values (this eliminates the influence of the factor Tg — T). For instance, epoxy networks based on flexible BAPP (2-2 - bis 4,4-aminophenoxy phenyl propane) show similar Tg values ( 170°C) to networks based on 3-3 DDS (diamino diphenyl sulfone). However, fracture energies are nine times larger for the former. These results constitute a clear indication that the network structure does affect the proportionality constant between ay and Tg — T. Although no general conclusions may be obtained, it may be expected that the constant is affected by crosslink density, average functionality of crosslinks and chain... 

Considerable effort has been spent to explain the effect of reinforcement of elastomers by active fillers. Apparently, several factors contribute to the property improvements for filled elastomers such as, e.g., elastomer-filler and filler-filler interactions, aggregation of filler particles, network structure composed of different types of junctions, an increase of the intrinsic chain deformation in the elastomer matrix compared with that of macroscopic strain and some others factors [39-44]. The author does not pretend to provide a comprehensive explanation of the effect of reinforcement. One way of looking at the reinforcement phenomenon is given below. An attempt is made to find qualitative relations between some mechanical properties of filled PDMS on the one hand and properties of the host matrix, i.e., chain dynamics in the adsorption layer and network structure in the elastomer phase outside the adsorption layer, on the other hand. The influence of filler-filler interactions is also of importance for the improvement of mechanical properties of silicon rubbers (especially at low deformation), but is not included in the present paper. 

The sol—gel process can be used to obtain lamellar silica (LS) samples by using neutral amines as template molecules. Its is found that such LS samples are able to act as sequestrating agents toward transition metal cations and that the coordination of such metal cations of the three dimensional network structure of the sffica exerts remarkable effects on its nanostructure and thermal stabffity [4]. Furthermore, such metal sequestrating abffity and the consequent nanostructure modifications are observed even if the metal—sffica reaction is performed in the solid state and room temperature [5]. By performing a solution calorimetric study, it is possible to verify that the total amount of metal cations that the lamellar matrix is able to sequester as well as its affinity by the metal cations, for example, Ni > Cu > Co [6] is a consequence of the influence of main two factors the metal—nitrogen coordination enthalpies and the structural disorder provoked into the lamellar network by the metal—nitrogen coordination. 

ABSTRACT The safety of oil depot is threatened by many factors and the results of safety evaluation are limited by the evaluation method, the accuracy of evaluation results also has been largely affected by personnel subjective factors. To overcome these defects, based on the analysis of influence factors of oil depot safety hierarchical structure safety evaluation model of oil depot is built by BP neural network method in this paper, and the evaluation model of neural network is trained by sample data. Evaluation results proved that BP neural network method is very suitable to evaluate the safety status of oil depot. 

It has been shown that various factors such as prepolymer molecular weight, functionality of prepolymer and of crosslinking agent, chemical conversion of reactive groups, and stoichiometry of reactive groups influence the ultimate properties of the networks. It can be predicted, however, that these factors also affect the morphology and the coherence of the network structure. 

The paper first considers the factors affecting intramolecular reaction, the importance of intramolecular reaction in non-linear random polymerisations, and the effects of intramolecular reaction on the gel point. The correlation of gel points through approximate theories of gelation is discussed, and reference is made to the determination of effective functionalities from gel-point data. Results are then presented showing that a close correlation exists between the amount of pre-gel intramolecular reaction that has occurred and the shear modulus of the network formed at complete reaction. Similarly, the Tg of a network is shown to be related to amount of pre-gel intramolecular reaction. In addition, materials formed from bulk reaction systems are compared to illustrate the inherent influences of molar masses, functionalities and chain structures of reactants on network properties. Finally, the non-Gaussian behaviour of networks in compression is discussed. 

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