Bibliometric study of multi-scale calculation of carbon nanotubes

Article Mechanics

Stochastic full-range multiscale modeling of thermal conductivity of Polymeric carbon nanotubes composites: A machine learning approach

Bokai Liu et al.

Summary: In this study, a data-driven approach based on a stochastic full-range multiscale model is proposed for predicting the thermal conductivity of CNT reinforced polymeric nano-composites (PNCs). Machine learning techniques are employed to efficiently design new PNCs based on the prediction results.

COMPOSITE STRUCTURES (2022)

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Article Engineering, Manufacturing

Synergistically optimizing interlaminar behavior of CFRP composites by simultaneously applying amino-rich graphene oxide to carbon fiber and epoxy matrix

Xueqin Zhang et al.

Summary: Amino-rich graphene oxide was prepared by grafting trifunctional polyether amine onto in-situ carbonylated graphene oxide, which was used to modify epoxy resin and fabricate multiscale carbon fiber. Simultaneously applying amino-rich graphene oxide to carbon fiber and epoxy matrix effectively optimized the interlaminar properties of the resulting composites. The ILSS value of multiscale carbon fiber reinforced amino-rich graphene oxide modified epoxy composites showed a synergistic behavior, being 32.6% higher than that of single employed amino-rich graphene oxide.

COMPOSITES PART A-APPLIED SCIENCE AND MANUFACTURING (2021)

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Article Polymer Science

Interfacial Improvement of Carbon Fiber/Epoxy Composites by Incorporating Superior and Versatile Multiscale Gradient Modulus Intermediate Layer with Rigid-flexible Hierarchical Structure

Pei-Feng Feng et al.

Summary: The use of a multiscale gradient modulus intermediate layer with rigid-flexible hierarchical structure has significantly enhanced the interfacial adhesion between carbon fiber and polymer matrix, leading to improved performance of the composite materials.

CHINESE JOURNAL OF POLYMER SCIENCE (2021)

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Article Materials Science, Composites