Home /Research /3D Printed Embedded Strain Sensor with Enhanced Performance
OTHER

3D Printed Embedded Strain Sensor with Enhanced Performance

Habib Nassar, Ravinder Dahiya

Year
2022
Citations
7

Abstract

This paper presents the use of an optimized conductive thermoplastic filament as a strain sensing material in embedded structures with enhanced sensing performance. The custom filament was produced from low aspect ratio multi-walled carbon nanotubes (MWCNT) dispersed in a thermoplastic polyurethane (TPU) polymer matrix. Multi-material fused deposition modelling (FDM) was used to 3D print the TPU/MWCNT filament and the embedding TPU materials. The design and fabrication of the sensor and its characterization at different bending angles are presented in this paper. The sensor exhibited a change of resistance of ~30% at 90º bending which is far superior to all other similarly fabricated non-functionalized MWCNT-based strain sensors. Gaps were introduced in the printed sensor design by altering the infill percentage to further enhance its performance. The use of 50% infill showed the highest change in resistance values at the same bending angle. By optimizing the filler particle morphology, filler concentration, and sensor design, a high performance and durable strain sensor was developed in this work. 3D printed embedded strain sensors find application in various fields such as prosthetics, robotics, wearables, and medical electronics.

Keywords

Materials scienceThermoplastic polyurethaneComposite materialBendingThermoplasticFabricationElectrical conductorElastomer

Related papers

Browse all OTHER papers