Abstract Graphene based nanotechnology has offered a variety of novel strategies for enabling self-sensing and diagnosing functionalities for next-generation composites. In comparison to traditional methods with complicated procedure and limited scalability, a new process is impending for graphene sensor fabrication with designable shape and controllable performance. Toward this goal, this paper combined multiple computer-aided processes for designing graphene thin film sensors and arrays on composites, including spray-coating, laser-scribing and ink-dispensing. The processing-structure-property relationship was systematically investigated for understanding the piezoresistive performance of the laser scribed graphene (LSG) sensors. It is determined that by increasing the cycle time of laser irradiation, the gauge factor could be tailored up to 3 orders of magnitude from ∼450 to ∼0.6. The accumulated bump-shaped structure originated from intenser reduction of graphene oxide (GO) is believed to disrupt the efficiency of load-transfer and degrade the resulting performance. With the optimized recipe, versatility of LSG sensors and arrays deployed with ink-printed circuits was further explored for monitoring and mapping large-scale deformation and strain distribution of polymeric composites.

中文翻译：

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具有可调压阻率的石墨烯传感器/阵列的混合喷涂、激光划线和油墨分配，用于复合材料的原位监测

摘要 基于石墨烯的纳米技术为实现下一代复合材料的自感和诊断功能提供了多种新策略。与工艺复杂、可扩展性有限的传统方法相比，具有可设计形状和可控性能的石墨烯传感器制造即将出现一种新工艺。为了实现这一目标，本文结合了多种计算机辅助工艺，用于在复合材料上设计石墨烯薄膜传感器和阵列，包括喷涂、激光划线和油墨分配。系统地研究了加工-结构-性能关系，以了解激光刻划石墨烯 (LSG) 传感器的压阻性能。确定通过增加激光照射的周期时间，规范因子可以调整到 3 个数量级，从 ~450 到 ~0.6。源自氧化石墨烯（GO）更强烈还原的累积凸块状结构被认为会破坏负载转移的效率并降低由此产生的性能。通过优化配方，进一步探索了 LSG 传感器和阵列与油墨印刷电路一起部署的多功能性，以监测和绘制聚合物复合材料的大规模变形和应变分布。