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|Title:||Functional piezoresistive polymer-composites based on polycarbonate and polylactic acid for deformation sensing applications|
|Author(s):||Dios, J. R.|
Tubio, C. R.
Viana, J. C.
|Journal:||Macromolecular Materials and Engineering|
|Citation:||Dios, J. R., Gonzalo, B., Tubio, C. R., Cardoso, J., et. al. (2020). Functional Piezoresistive Polymer‐Composites Based on Polycarbonate and Polylactic Acid for Deformation Sensing Applications. Macromolecular Materials and Engineering, 305(12), 2000379|
|Abstract(s):||Multifunctional composites for deformation sensing applications have been developed by solvent casting based on polycarbonate (PC) and polylactic acid (PLA) reinforced with carbon nanotubes (CNT). Composites shows homogeneous filler dispersion and low percolation threshold at 0.1 and 0.06 wt% CNT content for PLA and PC, respectively. The maximum electrical conductivity obtained for the larger filler contents is two order of magnitude higher for PLA composites than for PC ones, showing that the matrix influences the electrical properties of the composites. With respect to the mechanical characteristics, the samples show a maximum strain near 40% and 2.75% for composites with 0.25 and 1 wt% CNT content for PC and PLA, respectively, decreasing for larger filler contents. Concerning the piezoresistive response, 4‐point‐bending experiments from 0.1 to 5 mm, lead to a Gauge Factor (GF) of ≈1 for PC, showing that the piezoresistive response if determined by the geometrical response. On the other hand, PLA composites show GF of ≈3, revealing also intrinsic contributions, due to the variation of the filler network upon material deformation. The resistance variation upon mechanical bending deformation shows linear response for the composites near the percolation threshold and above, for both composites. A proof‐of‐concept of the functional sensing response for applications is achieved by measuring the bending deformation of an endoscope, showing that the developed sensors can determine the bending orientation and intensity, as predicted by the simulation model applied to the endoscope|
|Access:||Restricted access (UMinho)|
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