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Updated: Aug 23, 2025

Strain Sensing Based on Multiscale Composite Materials Reinforced with Graphene Nanoplatelets

Strain Sensing Based on Multiscale Composite Materials Reinforced with Graphene Nanoplatelets

Published on: November 7, 2016

3D Single-Layer-Dominated Graphene Foam for High-Resolution Strain Sensing and Self-Monitoring Shape Memory

Jiasheng Rong¹, Jianxin Zhou¹, Yucheng Zhou¹

¹State Key Laboratory of Mechanics and Control of Mechanical Structures, Key Laboratory for Intelligent Nano Materials and Devices of the MOE, Institute of Nano Science, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, P. R. China.

Small (Weinheim an Der Bergstrasse, Germany)

|November 1, 2022

Summary

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Researchers developed a novel graphene foam for flexible intelligent materials. This material simultaneously senses strain and controls deformation, enabling self-monitoring shape memory composites.

Area of Science:

Materials Science
Nanotechnology
Polymer Science

Background:

Flexible intelligent materials require simultaneous self-deformation regulation and morphology sensing.
Graphene foam offers excellent mechanical, electrical, and thermal properties for strain sensing and performance control.
Graphene-foam-based materials with combined strain sensing and deformation control are scarce.

Purpose of the Study:

To design and fabricate a multiscale graphene foam with a single-layer-graphene-dominated microstructure and 3D network architecture.
To investigate the material's strain sensing performance and its ability to modulate electrical and thermal conductivity in shape memory polymers.
To demonstrate an electro-activated shape-memory composite capable of self-monitoring its shape during morphing.

Main Methods:

Keywords:

graphene foam self-monitoring shape memory polymers strain sensors

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Last Updated: Aug 23, 2025

Strain Sensing Based on Multiscale Composite Materials Reinforced with Graphene Nanoplatelets

Strain Sensing Based on Multiscale Composite Materials Reinforced with Graphene Nanoplatelets

Published on: November 7, 2016

Production of a Strain-Measuring Device with an Improved 3D Printer

Production of a Strain-Measuring Device with an Improved 3D Printer

Published on: January 30, 2020

Fabrication of Three-Dimensional Graphene-Based Polyhedrons via Origami-Like Self-Folding

Fabrication of Three-Dimensional Graphene-Based Polyhedrons via Origami-Like Self-Folding

Published on: September 23, 2018

Multiscale design of graphene foam focusing on microstructure and network architecture.
Integration of graphene foam with shape memory polymers.
Characterization of strain sensing limits, response time, stability, and thermal properties.
Demonstration of electro-activated shape-memory composite functionality.

Main Results:

Exceptional strain sensing performance with a detection limit of 0.033% and rapid 53 ms response.
Long-term stability demonstrated over 10,000 cycles.
Significant thermoacoustic effect and notable heat-generation/diffusion capabilities.
Successful demonstration of an electro-activated shape-memory composite with self-monitoring capabilities.

Conclusions:

The developed graphene foam enables simultaneous strain sensing and deformation control in flexible materials.
This material significantly enhances the capabilities of shape memory polymers for advanced applications.
The self-monitoring electro-activated shape-memory composite represents a breakthrough in intelligent material systems.