2018
DOI: 10.24874/ti.2018.40.02.10
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Sliding Tribological Behavior of Carbon Nanotube/Natural Rubber Composites

Abstract: A computational study has been made to investigate the tribological properties of carbon nanotube reinforced natural rubber composites as a function of sliding velocity at a normal loading. A three-layer model in which top and bottom layer using Iron atoms and the middle part with natural rubber matrices are constructed. Results obtained from simulations reveal that increase in sliding velocity 0.1 Å /ps to 0.11 Å /ps significantly decrease the coefficient of friction and abrasion rate. The addition of carbon … Show more

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Cited by 7 publications
(4 citation statements)
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“…They would be an effective tool for investigating structure–property relationships in NR-antioxidant model PNCs. Accordingly, the interfacial interactions and dynamics at the NR-antioxidant interface were computed using the COMPASS force field (the interaction potentials are discussed in the Supporting Information) with estimated physical parameters, including diffusion coefficient ( D ), binding energy, MSD, and solubility parameter (δ). The representative amorphous cell (AC) models of different NR- PNCs are depicted in Figure .…”
Section: Resultsmentioning
confidence: 99%
“…They would be an effective tool for investigating structure–property relationships in NR-antioxidant model PNCs. Accordingly, the interfacial interactions and dynamics at the NR-antioxidant interface were computed using the COMPASS force field (the interaction potentials are discussed in the Supporting Information) with estimated physical parameters, including diffusion coefficient ( D ), binding energy, MSD, and solubility parameter (δ). The representative amorphous cell (AC) models of different NR- PNCs are depicted in Figure .…”
Section: Resultsmentioning
confidence: 99%
“…Molecular dynamics (MD) simulations were performed on model NR nanocomposites as described above. The condensed-phase optimized molecular potentials for atomistic simulation studies (COMPASS) force field was employed to study the interfacial interactions and dynamics of model NR nanocomposites, including pristine NR, NR-6PPD, and NR-MLN, respectively (Figure ). The MD simulations were realized with detailed parameters setup as follows to facilitate computational convergence.…”
Section: Computational Methodologymentioning
confidence: 99%
“…Li et al studied the tribological properties of graphene reinforced polymer composites using MD simulations [39,40]. Several research contributions have been made by Chawla et al to predict the effect of CNT reinforcement in natural rubber on its tribological and mechanical properties using MD simulations [41][42][43][44][45]. Song et al [46] carried out MD simulations to predict the mechanical and tribological properties of polytetrafluoroethylene reinforced with SWCNT.…”
Section: Introductionmentioning
confidence: 99%