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Cited by 668

The DOI matches its Crossref record; 108 of the 108 references it cites were found in a registry or an index.

Dispersion of Carbon Nanotubes in Liquids

Hilding, Jenny, Grulke, Eric A., George Zhang, Z., Lockwood, Fran·2003·Journal of Dispersion Science and Technology

Abstract

Production processes for carbon nanotubes often produce mixtures of solid morphologies that are mechanically entangled or that self‐associate into aggregates. Entangled or aggregated nanoparticles often need to be dispersed into fluid suspensions in order to develop materials that have unique mechanical characteristics or transport properties. This paper reviews the effects of milling, ultrasonication, high shear flow, elongational flow, functionalization, and surfactant and dispersant systems on morphology of carbon nanotubes and their interactions in the fluid phase. Multiwalled carbon nanotubes (MWNTs) have been used as an example model system for experimental work because they have been available in engineering‐scale quantities and can be dispersed reproducibly in a variety of solvents and polymers. Their size scales, ∼30–50 nm in average diameter and ∼5–50 microns in length, permit MWNT dispersions to be investigated using transmission electron microscopy, scanning electron microscopy, and in some cases, light microscopy.

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Registry

Crossref · 10.1081/dis-120017941

Cites

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Metadata

Authors
Hilding, J., Grulke, E. A., George Zhang, Z., & Lockwood, F.
Venue
Journal of Dispersion Science and Technology
Published
2003-01-02
Volume
24
Issue
1
Pages
1-41
ISSN
  • 0193-2691 (ISSN-L)
  • 1532-2351
OpenAlex
W2155003936
Cited by
668
References
108
FWCI
8.05
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Dispersion of Carbon Nanotubes in Liquids. https://app.cochat.ai/papers/10.1081/dis-120017941
The paper
Hilding, J., Grulke, E. A., George Zhang, Z., & Lockwood, F. (2003). Dispersion of Carbon Nanotubes in Liquids. Journal of Dispersion Science and Technology. https://doi.org/10.1081/dis-120017941

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.