Different polycarbonate materials have been reinforced with carbon nanotubes to tune electrical conductivity and to induce piezoresistive self-sensing capabilities. Further, the composites were processed by solvent casting and fused deposition modelling (filament for 3D printing) methods. An electrical conductivity percolation threshold of ≈0.3 wt.% has been found for solvent casted films, whereas samples processed by 3D printing show higher thresholds, ≈2 wt.%, presenting all samples a similar maximum electrical conductivity (σ ≈ 1 10⁻³ S m⁻¹), thermal and chemical properties. Overall mechanical properties are larger for the solvent cast films concerning the 3D printed ones, particularly the elongation at break. The piezoresistive sensitivity, obtained after four-point-bending and uniaxial strain experiments, shows gauge factors up to 1.7, independently of the processing method. The functionality of the materials has been demonstrated by the implementation of an airplane wing section model with self-sensing capabilities. Two implemented strategies showed the suitability of the developed materials for real-time monitoring of the wing mechanical deformation.

不同的聚碳酸酯材料已用碳纳米管增强，以调节电导率并诱导压阻自感能力。此外，复合材料通过溶剂浇铸和熔融沉积建模（用于 3D 打印的灯丝）方法进行加工。已经发现溶剂浇铸薄膜的电导率渗透阈值为 ≈0.3 wt.%，而通过 3D 打印处理的样品显示出更高的阈值，≈2 wt.%，显示所有样品具有相似的最大电导率 ( σ ≈ 1 10 ^-3 S·m ^-1)、热学和化学性质。与 3D 打印薄膜相关的溶剂流延薄膜的整体机械性能更大，尤其是断裂伸长率。在四点弯曲和单轴应变实验后获得的压阻灵敏度显示高达 1.7 的应变系数，与处理方法无关。这些材料的功能已经通过具有自感能力的飞机机翼截面模型的实施得到了证明。两种实施的策略表明所开发的材料适用于实时监测机翼机械变形。