Titre :

Development of a pyrolysis model for an intumescent flame retardant system: Poly(lactic acid) blended with melamine and ammonium polyphosphate

Auteur(s) :

Sun, Qi [Auteur]
Ningbo University [NBU]
Ding, Yan [Auteur]
University of Maryland [Baltimore]
Stoliarov, Stanislav I. [Auteur]
University of Maryland [Baltimore]
Sun, Jinhua [Auteur]
University of Science and Technology of China [Hefei] [USTC]
Fontaine, Gaelle [Auteur]
Unité Matériaux et Transformations - UMR 8207 [UMET]
Bourbigot, Serge [Auteur]
Unité Matériaux et Transformations - UMR 8207 [UMET]

Titre de la revue :

Composites Part B: Engineering

Pagination :

108055

Éditeur :

Elsevier BV

Date de publication :

2020-08

ISSN :

1359-8368

Discipline(s) HAL :

Chimie/Matériaux
Physique [physics]/Matière Condensée [cond-mat]/Science des matériaux [cond-mat.mtrl-sci]
Sciences de l'ingénieur [physics]/Génie des procédés
Chimie/Polymères

Résumé en anglais : [en]

A pyrolysis model capable of predicting materials’ fire behavior as a function of concentration was developed for an intumescent flame retardant system: poly(lactic acid) (PLA) blended with melamine (MEL) and ammonium ...
Lire la suite >A pyrolysis model capable of predicting materials’ fire behavior as a function of concentration was developed for an intumescent flame retardant system: poly(lactic acid) (PLA) blended with melamine (MEL) and ammonium polyphosphate (APP). The model was developed through inverse analysis of data obtained from bench-scale pyrolysis experiments wherein a 0.07-m-diameter disk-shaped sample was exposed to well-defined radiant heating in an anaerobic environment. Sample back surface temperature, sample shape profile and burning rate were measured simultaneously. A numerical pyrolysis modeling framework, ThermaKin2Ds, and a previously developed semi-global thermal decomposition reaction mechanism were employed in the inverse analysis to determine material properties that define the heat and mass transport inside the pyrolyzing solids. The final pyrolysis model was found to predict materials’ fire behavior for a variety of thermal exposures and material compositions. The model construction process revealed that a reduction in gas transfer coefficients helped to reproduce certain features of the burning rates profiles. Idealized cone calorimetry scenarios were simulated to study the influence of additives on materials’ fire behavior, and the results demonstrated that the blend with 5 wt % MEL and 25 wt% APP was found to be the most effective system with a 69% reduction in the average heat release rate comparing to that of PLA. A similar significant reduction has been reported in the literature, supporting the accuracy of this model. This work demonstrates a methodology that enables intelligent design of intumescent flame retardant materials tailored for specific applications, where low flammability is required.Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Établissement(s) :

Université de Lille
CNRS
INRA
ENSCL

Collections :

• Unité Matériaux et Transformations (UMET) - UMR 8207

Équipe(s) de recherche :

Ingénierie des Systèmes Polymères

Date de dépôt :

2020-05-16T13:25:37Z
2020-05-18T12:22:27Z