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Shows enhanced lubrication performance in soft-nanocomposites, highlighting dimensional matching for optimization.
Soft-nanocomposites not only preserve the tunable sol-gel phase transition of gel lubricants, but also further enhance their tribological performance. However, the complex micro-nano hierarchical structures of soft-nanocomposites make it difficult to clearly understand their structure-performance relationship. In this paper, soft-nanocomposites composed of fibrous self-assembled urea-based gelators (TO, formed by the reaction of TDI with octadecylamine), oleic acid modified graphene oxide (GO/OA), and carbon nanotubes with different aspect ratios were designed and prepared. The results reveal that the fiber-interpenetrated micro-nano structure, formed by carbon nanotubes and TO, exhibits superior tribological performance, with the synergistic effect further enhanced by higher carbon nanotube aspect ratios. Furthermore, lamellar-stacked soft-nanocomposites (GO/OA-TD) were prepared by integrating GO/OA with lamellar urea-based gelators (TD, formed by the reaction of TDI with dodecylamine). Under a load of 392 N and a rotational speed of 1200 rpm, the GO/OA-TD achieved a 34.5% reduction in the coefficient of friction and a 44.8% decrease in wear scar diameter compared with pristine TD, showing significantly better synergistic lubrication than the dimensionally mismatched lamellar-fiber structure (GO/OA-TO).This demonstrates that dimensional matching between nanomaterials and gelator networks is the key to maximizing synergistic lubrication, providing new insights for the rational design of high-performance soft-nanocomposite lubricants. Keywords: Soft-nanocomposites; Micro-nano hierarchical structures; Synergistic lubrication; Carbon-based nanomaterials; Dimensional matching. .
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Zhang et al. (2026) studied this question.
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