Polymer Combustion and Flame Retardancy

2019 ◽  
pp. 5-9
Author(s):  
Suprakas Sinha Ray ◽  
Malkappa Kuruma
Keyword(s):  
Flame Retardancy ◽  
Polymer Combustion

Flame Retardancy of Nanocomposites - from Research to Reality

2005 ◽  
Vol 13 (5) ◽  
pp. 529-538 ◽  
Author(s):  
Günter Beyer
Keyword(s):  
Flame Retardancy ◽  
Flame Retardants ◽  
Layered Silicate ◽  
Layered Silicates ◽  
Polymer Systems ◽  
New Class ◽  
Silicate Nanocomposites ◽  
Flame Retardant Properties ◽  
Flame Retardancy Mechanism ◽  
Polymer Combustion

Nanocomposites are a new class of polymer systems. Modified layered silicates as fillers are dispersed at a nm-level within a polymer matrix. For nanocomposites new and extraordinary properties are observed. The thermal stability and the flame retardancy of polymers forming nanocomposites are improved. The flame retardancy mechanism of layered silicate nanocomposites is based on the char formation and its structure; the char insulates the polymer from heat and acts as a barrier, reducing the escape of volatile gases from the polymer combustion. The cone calorimeter is a very useful tool to investigate the properties of flame retardancy. The combination of organoclays with traditional flame retardants is a general way to improve the flame retardant properties of polymers.

Synthesis and characterization of flame-retardant-wrapped carbon nanotubes and its flame retardancy in epoxy nanocomposites

2021 ◽  
pp. 096739112110245
Author(s):  
Jiangbo Wang
Keyword(s):  
Carbon Nanotubes ◽  
Heat Release ◽  
Flame Retardant ◽  
Flame Retardancy ◽  
Total Heat Release ◽  
Pristine Cnts ◽  
Peak Heat Release Rate ◽  
Ep Matrix ◽  
Better Than

A novel phosphorus-silicon containing flame-retardant DOPO-V-PA was used to wrap carbon nanotubes (CNTs). The results of FTIR, XPS, TEM and TGA measurements exhibited that DOPO-V-PA has been successfully grafted onto the surfaces of CNTs, and the CNTs-DOPO-V-PA was obtained. The CNTs-DOPO-V-PA was subsequently incorporated into epoxy resin (EP) for improving the flame retardancy and dispersion. Compared with pure EP, the addition of 2 wt% CNTs-DOPO-V-PA into the EP matrix could achieve better flame retardancy of EP nanocomposites, such as a 30.5% reduction in peak heat release rate (PHRR) and 8.1% reduction in total heat release (THR). Furthermore, DMTA results clearly indicated that the dispersion for CNTs-DOPO-V-PA in EP matrix was better than pristine CNTs.

scholarly journals Review on the Use of Artificial Intelligence to Predict Fire Performance of Construction Materials and Their Flame Retardancy

Molecules ◽  
2021 ◽  
Vol 26 (4) ◽  
pp. 1022
Author(s):  
Hoang T. Nguyen ◽  
Kate T. Q. Nguyen ◽  
Tu C. Le ◽  
Guomin Zhang
Keyword(s):  
Artificial Intelligence ◽  
Flame Retardancy ◽  
Material Science ◽  
Construction Materials ◽  
Engineering Problem ◽  
Future Research ◽  
Fire Performance ◽  
Structural Components ◽  
Comprehensive Overview ◽  
Fire Engineering

The evaluation and interpretation of the behavior of construction materials under fire conditions have been complicated. Over the last few years, artificial intelligence (AI) has emerged as a reliable method to tackle this engineering problem. This review summarizes existing studies that applied AI to predict the fire performance of different construction materials (e.g., concrete, steel, timber, and composites). The prediction of the flame retardancy of some structural components such as beams, columns, slabs, and connections by utilizing AI-based models is also discussed. The end of this review offers insights on the advantages, existing challenges, and recommendations for the development of AI techniques used to evaluate the fire performance of construction materials and their flame retardancy. This review offers a comprehensive overview to researchers in the fields of fire engineering and material science, and it encourages them to explore and consider the use of AI in future research projects.

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