Stretchable, Self-Healable, Carbon-Based Strain Sensor for Soft Robotic Applications
Recent advancements in strain sensor technology are expanding their applications in fields such as soft robotics. A significant advantage would be if these sensors could self-heal completely, especially when damaged in the active area, potentially reducing or completely eliminating maintenance costs. Here, to address this, a self-healable strain sensor was created using silicon tape and a self-healable conductive carbon composite. Initially, the pristine device showed a gauge factor (GF) of 11.3 with a maximum stretch of 50%. It was then intentionally cut and healed at room temperature without external additives to demonstrate its self-healing capability. After healing, the composite material regained its original resistance, but the strain sensor showed an increased resistance of 166.5% (423.55 to <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$1128.85\Omega)$</tex>. The strain sensor also demonstrated a GF of 17.4, indicating its sensitivity to strain, even with a 10% stretch, as confirmed by electromechanical testing. This highlights the potential for self-healable sensors to recover functionality post-damage, offering cost savings, improved durability, and reduced downtime.
Authors
- Rui Chao Xu (ORCID: https://orcid.org/0000-0003-4361-1971)
- Luisa Petti (ORCID: https://orcid.org/0000-0003-0264-7185)
- Denys Makarov (ORCID: https://orcid.org/0000-0002-7177-4308)
- Renato Vidoni (ORCID: https://orcid.org/0000-0002-7429-0974)
- Paolo Lugli (ORCID: https://orcid.org/0000-0002-2511-5643)
- Manuela Ciocca (ORCID: https://orcid.org/0000-0001-8014-9814)
- Ahmed Rasheed
- Arvind Gurusckaran
Institutions
- Free University of Bozen-Bolzano (IT)
- Helmholtz-Zentrum Dresden-Rossendorf (DE)
Publication Details
- Published
- 2024-09-15
- DOI
- https://doi.org/10.1109/ifetc61155.2024.10771874
- Citations
- 1
- Primary Topic
- Advanced Sensor and Energy Harvesting Materials
- Type
- article
- Field-Weighted Citation Impact
- 0.18