Improving the flame retardancy of polypropylene foam with piperazine pyrophosphate via multilayering coextrusion of film/foam composites

2019 ◽  
Vol 137 (15) ◽  
pp. 48552 ◽  
Author(s):  
Sangjin Lee ◽  
Alexander B. Morgan ◽  
David A. Schiraldi ◽  
João Maia
Keyword(s):  
Flame Retardancy ◽  
Polypropylene Foam

Conference Report: IX European Meeting on Flame Retardancy and Protection of Materials

Polymer News ◽  
2004 ◽  
Vol 29 (5) ◽  
pp. 164-167
Author(s):  
G. Zaikov ◽  
M. Artsis
Keyword(s):  
Flame Retardancy ◽  
Conference Report ◽  
European Meeting

Flame Retardancy and Thermal Degradation Behavior of Epoxy Resin Treated with a Phosphorus and Silicon containing Compound

2019 ◽  
Vol 35 (3) ◽  
pp. 329-340 ◽  
Author(s):  
YI CHEN ◽  
◽  
WENQIN HE ◽  
SHIQI CHEN ◽  
JIANGBO WANG ◽  
...  
Keyword(s):  
Thermal Degradation ◽  
Epoxy Resin ◽  
Flame Retardancy ◽  
Degradation Behavior ◽  
Thermal Degradation Behavior

Flame retardancy of Scots pine (Pinus sylvestris) by using polyethylene glycol 400 and phosphoric acid

2020 ◽  
Vol 24 (04) ◽  
pp. 507-515
Author(s):  
Fatima Zohra Brahmia ◽  
Tibor Alpár ◽  
Péter Horváth György
Keyword(s):  
Polyethylene Glycol ◽  
Phosphoric Acid ◽  
Pinus Sylvestris ◽  
Scots Pine ◽  
Flame Retardancy ◽  
Polyethylene Glycol 400

Synergistic Effect of Red Phosphorus, Boric Acid on the Flame-Retardancy of a Cotton Fabric

2005 ◽  
Vol 14 (3) ◽  
pp. 215-222 ◽  
Author(s):  
S. Mostashari ◽  
F. Fayyaz
Keyword(s):  
Synergistic Effect ◽  
Boric Acid ◽  
Cotton Fabric ◽  
Flame Retardancy ◽  
Red Phosphorus

Synergetic Improvement in Thermal Conductivity and Flame Retardancy of Epoxy/Silver Nanowires Composites by Incorporating “Branch-Like” Flame-Retardant Functionalized Graphene

2018 ◽  
Vol 10 (25) ◽  
pp. 21628-21641 ◽  
Author(s):  
Yuezhan Feng ◽  
Xiongwei Li ◽  
Xiaoyu Zhao ◽  
Yunsheng Ye ◽  
Xingping Zhou ◽  
...  
Keyword(s):  
Thermal Conductivity ◽  
Flame Retardant ◽  
Flame Retardancy ◽  
Silver Nanowires ◽  
Functionalized Graphene

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.

Ionic liquid modified graphene oxide for enhanced flame retardancy and mechanical properties of epoxy resin

2021 ◽  
pp. 50757
Author(s):  
Mei Wan ◽  
Jiahui Shen ◽  
Chunfeng Sun ◽  
Ming Gao ◽  
Lina Yue ◽  
...  
Keyword(s):  
Mechanical Properties ◽  
Ionic Liquid ◽  
Graphene Oxide ◽  
Epoxy Resin ◽  
Flame Retardancy ◽  
Modified Graphene Oxide ◽  
Modified Graphene

An overview of alginates as flame-retardant materials: Pyrolysis behaviors, flame retardancy, and applications

2021 ◽  
Vol 260 ◽  
pp. 117827
Author(s):  
Ying-Jun Xu ◽  
Lian-Yi Qu ◽  
Yun Liu ◽  
Ping Zhu
Keyword(s):  
Flame Retardant ◽  
Flame Retardancy
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