Mesoscale Models for Effective Elastic Properties of Carbon-Black/Ultra-High-Molecular-Weight-Polyethylene Nanocomposites.

Autor: Buklovskiy S; University of New Hampshire, Durham, NH 03824, USA., Miroshnichenko K; University of New Hampshire, Durham, NH 03824, USA., Tsukrov I; University of New Hampshire, Durham, NH 03824, USA., Thomson RJ; Dartmouth College, Hanover, NH 03755, USA., Solberg PC; Dartmouth College, Hanover, NH 03755, USA., Van Citters DW; Dartmouth College, Hanover, NH 03755, USA.
Jazyk: angličtina
Zdroj: International journal of engineering science [Int J Eng Sci] 2024 Dec 01; Vol. 205. Date of Electronic Publication: 2024 Oct 08.
DOI: 10.1016/j.ijengsci.2024.104159
Abstrakt: In this paper, we apply mesoscale numerical modeling to predict the effective elastic properties of conductive carbon-black/ultra-high-molecular-weight-polyethylene nanocomposites. The models are based on X-ray microcomputed tomography images. The images show that for the considered range of carbon additive weight fractions, the conductive carbon black (CB) particles are distributed around the ultra-high-molecular-weight-polyethylene (UHMWPE) granules forming a carbon-containing layer of a thickness on the order of 1-2 μm . Finite element models of representative volume elements (RVE), incorporating the CB-containing layer, are developed. The RVEs are generated based on the size and shape statistics extracted from processed microcomputed tomography images with further incorporation of the CB-containing layer by a custom image processing code. The layer is modeled analytically as a 2-phase composite consisting of spherical CB inclusions distributed in the UHMWPE matrix. Elastic moduli predicted in the models are compared to experimental data. Results show that the numerical simulations predict effective elastic moduli within the confidence intervals of the experimental measurements up to 7.5 wt % of CB inclusions.
Competing Interests: Declaration of interests The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Databáze: MEDLINE
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