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Naji, M. |
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Motta, Antonella |
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Aletan, Dirar |
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Mohamed, Tarek |
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Ertürk, Emre |
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Taccardi, Nicola |
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Kononenko, Denys |
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Petrov, R. H. | Madrid |
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Alshaaer, Mazen | Brussels |
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Bih, L. |
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Casati, R. |
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Muller, Hermance |
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Kočí, Jan | Prague |
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Šuljagić, Marija |
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Kalteremidou, Kalliopi-Artemi | Brussels |
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Azam, Siraj |
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Ospanova, Alyiya |
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Blanpain, Bart |
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Ali, M. A. |
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Popa, V. |
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Rančić, M. |
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Ollier, Nadège |
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Azevedo, Nuno Monteiro |
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Landes, Michael |
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Rignanese, Gian-Marco |
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Lorenz, Christian
King's College London
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (5/5 displayed)
- 2022Conformational Heterogeneity and Interchain Percolation Revealed in an Amorphous Conjugated Polymercitations
- 2020Two Coexisting Membrane Structures are Defined by Lateral and Transbilayer Interactions Between Sphingomyelin and Cholesterolcitations
- 2004Role of network connectivity on the mechanical properties of highly cross-linked polymerscitations
- 2004Fracture behavior of triglyceride-based adhesivescitations
- 2003Fracture behavior of Lennard-Jones glasses
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article
Fracture behavior of triglyceride-based adhesives
Abstract
The use of natural plant oils in the production of adhesives has been the focus of much research because natural oils are a renewable resource which have environmental and economic advantages over the petroleum-derived chemicals used in traditional adhesives. The network formation and the stress-strain behavior of these plant oil-based adhesives is studied using a combination of simulation techniques. An off-lattice Monte Carlo simulation has been developed to model the formation of these networks via the free-radical copolymerization of the triglycerides present in natural oils. Networks of systems representing the triglycerides found in soybean oil, linseed oil, and olive oil are generated, as are networks made from other "theoretical" natural oils. The structure of the networks is characterized by percolation analysis. The stress-strain behavior of these networks is studied using large-scale molecular dynamics simulations. Tensile strains are applied to the networks and it is observed that with increasing n the failure stress increases but the failure strain decreases. Also, for systems with low values of n, large voids form while the system is strained and then the system fails cohesively. However, for large n, no significant voiding is observed and the system fails close to the interface. The simulation results are shown to be consistent with the vector percolation theoretical prediction for how the failure stress relates to n. (C) 2004 Wiley Periodicals, Inc