Anisotropic Pressure Sensors Fabricated by 3D Printing‐Aligned Carbon Nanotube Composites
Source abstract
Abstract
The flexibility and controllability of 3D printing technologies have made them popular for creating integrated wearable sensors. However, producing sensors with 3D anisotropic response is still difficult with current printing materials and techniques. To address this challenge, digital light process (DLP) printing technology with blading function to fabricate 3D anisotropic pressure and strain sensors is used. By applying blading‐induced shearing force, nanoalignment of carbon nanotubes (CNTs) in each layer is achieved, while the continuous liquid interface production of the DLP printing process facilitates good electrical communication between adjacent microlayers. The constructed 3D sensor displays high tensile and pressure responses up to 40 MPa and the ability to detect pressure changes in all directions. Additionally, the resistance anisotropy ratio range is adjustable. Finite‐element method (FEM) simulation shows that the relative change in resistance has an anisotropic distribution that aligns well with experimental results. The work would offer a new way to create 3D anisotropic pressure/strain sensors for advanced flexible and stretchable sensing applications.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Conducting polymers and applications · Carbon Nanotubes in Composites
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Institute of Materials Research and Engineering (IMRE) Agency for Science, Technology and Research (A*STAR) Singapore 138634 Singapore
Institute of High Performance Computing (IHPC) Agency for Science, Technology and Research (A*STAR) Singapore 138632 Singapore
Institute of Sustainability for Chemicals Energy and Environment Agency for Science, Technology and Research (A*STAR) Singapore 627833 Singapore
Funding
Central Public-interest Scientific Institution Basal Research Fund, Chinese Academy of Fishery Sciences
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