Sustainable composite from furfuryl alcohol and wood flour with outstanding fire resistance and its prediction using neural networks

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28110%2F25%3A63597158" target="_blank" >RIV/70883521:28110/25:63597158 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/70883521:28610/25:63597158

Výsledek na webu

<a href="https://www.sciencedirect.com/science/article/pii/S2468217925001297?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S2468217925001297?via%3Dihub</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.jsamd.2025.100976" target="_blank" >10.1016/j.jsamd.2025.100976</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Sustainable composite from furfuryl alcohol and wood flour with outstanding fire resistance and its prediction using neural networks

Popis výsledku v původním jazyce

Novel composites were successfully produced using renewable green sources, furfuryl alcohol resin, commonly obtained from biomass, and wood flour. Compared with a conventional melt-blending technique used for the preparation of wood-plastic composites, this unique approach, utilizing low-viscosity thermoset resin with high affinity for wood, enables the avoidance of excessive treatment of wood flour. Four flame retardants possessing different flame-retardant mechanisms (expandable graphite (EG), ammonium dihydrogen phosphate (ADP), Exolit OP560 and dimethyl propane phosphonate) at two loading levels (7.5 and 15 wt%) were used to suppress the flammability of the composites evaluated by a cone calorimeter test, limiting oxygen index and UL 94. All investigated flame retardants significantly reduced maximum value of heat release rate (HRR) (EG and ADP approx. up to 75 %) and, moreover, ADP and EG significantly reduced the total smoke production (EG up to 25 % and ADP up to 96 %) confirming outstanding and unusual flammability suppression considering HRR reduction and a decrease in smoke production rate (SPR) at the same time. Besides that, the neural network prediction models for HRR and SPR from test time and mass loss rate were created and trained, giving the possibility to predict HRR and SPR values from simple and cheap tests, providing only mass loss rate at specific conditions.

Název v anglickém jazyce

Sustainable composite from furfuryl alcohol and wood flour with outstanding fire resistance and its prediction using neural networks

Popis výsledku anglicky

Novel composites were successfully produced using renewable green sources, furfuryl alcohol resin, commonly obtained from biomass, and wood flour. Compared with a conventional melt-blending technique used for the preparation of wood-plastic composites, this unique approach, utilizing low-viscosity thermoset resin with high affinity for wood, enables the avoidance of excessive treatment of wood flour. Four flame retardants possessing different flame-retardant mechanisms (expandable graphite (EG), ammonium dihydrogen phosphate (ADP), Exolit OP560 and dimethyl propane phosphonate) at two loading levels (7.5 and 15 wt%) were used to suppress the flammability of the composites evaluated by a cone calorimeter test, limiting oxygen index and UL 94. All investigated flame retardants significantly reduced maximum value of heat release rate (HRR) (EG and ADP approx. up to 75 %) and, moreover, ADP and EG significantly reduced the total smoke production (EG up to 25 % and ADP up to 96 %) confirming outstanding and unusual flammability suppression considering HRR reduction and a decrease in smoke production rate (SPR) at the same time. Besides that, the neural network prediction models for HRR and SPR from test time and mass loss rate were created and trained, giving the possibility to predict HRR and SPR values from simple and cheap tests, providing only mass loss rate at specific conditions.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20505 - Composites (including laminates, reinforced plastics, cermets, combined natural and synthetic fibre fabrics; filled composites)

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Journal of Science: Advanced Materials and Devices

ISSN

2468-2284

e-ISSN

2468-2179

Svazek periodika

10

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

12

Strana od-do

nestránkováno

Kód UT WoS článku

001574085900001

EID výsledku v databázi Scopus

2-s2.0-105015820182