A preliminary structure-flammability study of some polymers

Flame retardants are added to plastic materials to inhibit or suppress the combustion process and to improve the ignition or burning performance. One of the most well known parameter of polymer flammability is the limiting oxygen index (LOI). It expresses the minimum percentage of oxygen required to sustain ignition and combustion. Flammability of commercial polymers became important in the last decades [1].
Aromatic polyesters have been found in the last years to be technically interesting as engineering plastics, especially the phosphoric polyesters (polyphosphonates and polyphosphates) because of their excellent mechanical, electrical and flame resistance properties and also because of their analogy with the nucleic acids [2, 3]. The phosphorous, halogen and nitrogen-containing polymers are the most widely used as commercial fire-retardant polymers [3]. The importance of structure of polymers deciding the flammability has been recognized in the literature. Knowledge in structure-flammability relationships is useful for developing the mechanism of flame retardancy and predicting the flammability of polymers. This paper presents a structure-property study for a series of polyphosphonates, modeled by their monomers.
In this paper two types of data mining approaches, MLR and ANN methods, were applied to model polymer flammability and results were compared.

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