New strategy towards flame retardancy through design, synthesis, characterization, and fire performance of a chain extender in polyamide 6 composites

Author(s):  
Miao‐Jun Xu ◽  
Hai‐Chao Liu ◽  
Kun Ma ◽  
Bin Li ◽  
Zhi‐Yong Zhang
RSC Advances ◽  
2015 ◽  
Vol 5 (40) ◽  
pp. 31878-31885 ◽  
Author(s):  
Alvianto Wirasaputra ◽  
Jianqing Zhao ◽  
Yaming Zhu ◽  
Shumei Liu ◽  
Yanchao Yuan

Figure melt torque of PA6 mixed with different contents of chain extender BGPPO. The addition of small molecule diepoxide (BGPPO) greatly enhanced the melt torque, rheological and mechanical properties of polyamide-6 through chain extension reaction.


2003 ◽  
Vol 11 (8) ◽  
pp. 691-702 ◽  
Author(s):  
X. Almeras ◽  
M. Le Bras ◽  
S. Bourbigot ◽  
P. Hornsby ◽  
G. Marosi ◽  
...  

One way to improve the fire performance of polymers is by the development of intumescent systems. The addition of ammonium polyphosphate/polyamide-6 is known to provide flame retardancy in many polymers via an intumescent process. The development of appropriate formulations is limited by their mechanical properties. This study shows that polypropylene based intumescent blends are efficient fire retardant systems and that acceptable mechanical properties can be obtained. It is also shown that adding talc improves the mechanical properties of intumescent polypropylene formulations without decreasing their fire retardancy.


Molecules ◽  
2021 ◽  
Vol 26 (4) ◽  
pp. 1022
Author(s):  
Hoang T. Nguyen ◽  
Kate T. Q. Nguyen ◽  
Tu C. Le ◽  
Guomin Zhang

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.


2010 ◽  
Vol 70 (14) ◽  
pp. 2063-2067 ◽  
Author(s):  
Shirley Zhiqi Shen ◽  
Stuart Bateman ◽  
Patrick McMahon ◽  
Mel Dell’Olio ◽  
Januar Gotama ◽  
...  

Author(s):  
Wanan Cai ◽  
Hailin Wen ◽  
Zhicheng Wang ◽  
Huimin Lu ◽  
Huibo Liu ◽  
...  

Author(s):  
Peter Racioppo ◽  
Wael Saab ◽  
Pinhas Ben-Tzvi

This paper presents the design and analysis of an underactuated, cable driven mechanism for use in a modular robotic snake. The proposed mechanism is composed of a chain of rigid links that rotate on parallel revolute joints and are actuated by antagonistic cable pairs and a multi-radius pulley. This design aims to minimize the cross sectional area of cable actuated robotic snakes and eliminate undesirable nonlinearities in cable displacements. A distinctive feature of this underactuated mechanism is that it allows planar serpentine locomotion to be accomplished with only two modular units, improving the snake’s ability to conform to desired curvature profiles and minimizing the control complexity involved in snake locomotion. First, the detailed mechanism and cable routing scheme are presented, after which the kinematics and dynamics of the system are derived and a comparative analysis of cable routing schemes is performed, to assist with design synthesis and control. The moment of inertia of the mechanism is modeled, for future use in the implementation of three-dimensional modes of snake motion. Finally, a planar locomotion strategy for snake robots is devised, demonstrated in simulation, and compared with previous studies.


2014 ◽  
pp. n/a-n/a ◽  
Author(s):  
Weihua Fan ◽  
Yue Zhao ◽  
Aijing Zhang ◽  
Yukun Liu ◽  
Yanxia Cao ◽  
...  

Polimery ◽  
2013 ◽  
Vol 58 (5) ◽  
pp. 350-360 ◽  
Author(s):  
H VAHABI ◽  
R SONNIER ◽  
B OTAZAGHINE ◽  
G LE SAOUT ◽  
J.M LOPEZ-CUESTA

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