Self-healing and reprocessable bromo butylrubber based on combined ionic cluster formation and hydrogen bonding

2020 ◽  
Vol 11 (6) ◽  
pp. 1188-1197 ◽  
Author(s):  
Sebastian Stein ◽  
Anton Mordvinkin ◽  
Brigitte Voit ◽  
Hartmut Komber ◽  
Kay Saalwächter ◽  
...  
Keyword(s):  
Hydrogen Bonding ◽  
Network Formation ◽  
Cluster Formation ◽  
Dynamic Network ◽  
Self Healing ◽  
Competing Interactions ◽  
Ionic Cluster ◽  
Dynamic Network Formation

The properties of modified bromobutyl rubber are strongly influenced by competing interactions via hydrogen bridges and ionic cluster formation. Dynamic network formation enables self-healing and reprocessability of the material.

scholarly journals Control of Gelation and Properties of Reversible Diels–Alder Networks: Design of a Self-Healing Network

Polymers ◽  
2019 ◽  
Vol 11 (6) ◽  
pp. 930 ◽  
Author(s):  
Beata Strachota ◽  
Adama Morand ◽  
Jiří Dybal ◽  
Libor Matějka
Keyword(s):  
Network Formation ◽  
Branching Processes ◽  
Dynamic Networks ◽  
Dynamic Network ◽  
Diels Alder ◽  
Structure Theory ◽  
Gel Point ◽  
Self Healing ◽  
Dynamic Network Formation ◽  
Thermoreversible Networks

Reversible Diels–Alder (DA) type networks were prepared from furan and maleimide monomers of different structure and functionality. The factors controlling the dynamic network formation and their properties were discussed. Evolution of structure during both dynamic nonequilibrium and isothermal equilibrium network formation/breaking was followed by monitoring the modulus and conversion of the monomer. The gelation, postgel growth, and properties of the thermoreversible networks from tetrafunctional furan (F4) and different bismaleimides (M2) were controlled by the structure of the maleimide monomer. The substitution of maleimides with alkyl (hexamethylene bismaleimide), aromatic (diphenyl bismaleimide), and polyether substituents affects differently the kinetics and thermodynamics of the thermoreversible DA reaction, and thereby the formation of dynamic networks. The gel-point temperature was tuned in the range Tgel = 97–122 °C in the networks of the same functionality (F4-M2) with different maleimide structure. Theory of branching processes was used to predict the structure development during formation of the dynamic networks and the reasonable agreement with the experiment was achieved. The experimentally inaccessible information on the sol fraction in the reversible network was received by applying the theory. Based on the acquired results, the proper structure of a self-healing network was designed.

scholarly journals Dynamic network formation with incomplete information

2015 ◽  
Vol 59 (2) ◽  
pp. 301-331 ◽  
Author(s):  
Yangbo Song ◽  
Mihaela van der Schaar
Keyword(s):  
Incomplete Information ◽  
Network Formation ◽  
Dynamic Network ◽  
Dynamic Network Formation

scholarly journals A Note on Connectivity and Stability in Dynamic Network Formation

Games ◽  
2020 ◽  
Vol 11 (4) ◽  
pp. 49
Author(s):  
Tackseung Jun ◽  
Jeong-Yoo Kim
Keyword(s):  
Network Formation ◽  
Dynamic Network ◽  
Static Model ◽  
Formation Problem ◽  
Dynamic Network Formation

We consider the dynamic network formation problem under the requirement that the whole network be connected and remain connected after q nodes are destroyed. We propose the concept of dynamic Cq-stability and characterize dynamic Cq-stable networks for any q≥0. Comparison with the outcome in the static model is also discussed.

scholarly journals Task-Related Edge Density (TED)—A New Method for Revealing Dynamic Network Formation in fMRI Data of the Human Brain

PLoS ONE ◽  
2016 ◽  
Vol 11 (6) ◽  
pp. e0158185 ◽  
Author(s):  
Gabriele Lohmann ◽  
Johannes Stelzer ◽  
Verena Zuber ◽  
Tilo Buschmann ◽  
Daniel Margulies ◽  
...  
Keyword(s):  
Human Brain ◽  
Network Formation ◽  
Dynamic Network ◽  
New Method ◽  
Fmri Data ◽  
Edge Density ◽  
Dynamic Network Formation

scholarly journals An Efficient Network Discovery Storage based Resilient Packet-Forwarding Scheme for the Mitigation of Black Hole and Wormhole Attacks in 6lowpan Sensor Networks

2019 ◽  
Vol 8 (2) ◽  
pp. 1543-1547
Keyword(s):  
Black Hole ◽  
Sensor Networks ◽  
Network Formation ◽  
Dynamic Network ◽  
Sensor Nodes ◽  
Packet Forwarding ◽  
Wireless Devices ◽  
Network Layer ◽  
Network Discovery ◽  
Dynamic Network Formation

In wireless networks 6LOWPAN with the low power wireless devices has limited processing capabilities. In this network, the malicious node attacks at the network layer due to its nature of self configuration and dynamic network formation. It increased number of packet dropping attacks in network layer like Black Hole attacks and Worm Hole Attacks may cause the undesired operations in the time of routing the packet transfer. It degrades the performance of the legitimate users in the network. This work proposes an Efficient Network Discovery Storage Based Resilient Packet-Forwarding Scheme for the mitigation of malicious black hole and wormhole attacked nodes in 6Lowpan Sensor Networks. It also cooperates to manage the storage and prevent packet drop of sensor nodes present in the 6lowpan network.

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