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Design approach of a large strain sensor based on nanoparticle technology: A highly-integrable sensor for Morphing applications including SHM shape reconstruction

机译:基于纳米粒子技术的大型应变传感器的设计方法:适用于包括SHM和形状重构在内的变形应用的高度集成传感器

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The work at hand illustrates the design approach adopted for a large strain sensor, based on the carbon nanotube (CNT) technology, devoted to operations of structural health monitoring and shape reconstruction. After a critical discussion on the specifications, the most suited materials and processes were selected, with specific focus on the dispersion and deposition strategies. Then, by means of a FE approach, the topology in terms of CNT volume concentration, morphology (curvature) and orientation, was identified. A feasibility study on the manufacturability was then carried out. Finally, in compliance with the initial specifications, the set of calibration and space qualification tests was illustrated. The above mentioned activities were developed within the Project “Graphene-Polymeric Spray Sensor for Shape Recognition of Super-Deformable Structures”, GRAPSS, sponsored by CIRA within the “Curiosity Driven” initiative.
机译:当前的工作说明了基于碳纳米管(CNT)技术的大型应变传感器采用的设计方法,该方法专门用于结构健康监测和形状重构的操作。在对规格进行严格讨论之后,选择了最适合的材料和工艺,特别侧重于分散和沉积策略。然后,通过有限元方法,确定了碳纳米管体积浓度,形态(曲率)和取向方面的拓扑。然后进行了可制造性的可行性研究。最后,按照最初的规范,对一组校准和空间鉴定测试进行了说明。上述活动是由CIRA在“好奇心驱动”计划中赞助的“用于超变形结构形状识别的石墨烯-聚合物喷雾传感器” GRAPSS项目中开发的。

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