压力传感器
可穿戴计算机
灵敏度(控制系统)
软机器人
超弹性材料
计算机科学
材料科学
可穿戴技术
灵活性(工程)
声学
机械工程
执行机构
人工智能
嵌入式系统
电子工程
工程类
非线性系统
物理
统计
数学
量子力学
作者
Chiara Romano,Daniela Lo Presti,Sergio Silvestri,Emiliano Schena,Carlo Massaroni
出处
期刊:Soft science
[OAE Publishing Inc.]
日期:2024-09-07
卷期号:4 (3)
摘要
Recent advances in pressure sensors have garnered significant interest due to their promising applications in healthcare, robotics and wearable technology. In these fields, there is an ever-increasing demand for soft sensors that can conform to complex surfaces, such as the human body. However, current sensors often face limitations in measurable pressure ranges and customization involves complex manufacturing processes. In this study, we introduce an innovative solution for producing soft pressure sensors with varying maximum detection pressures. By utilizing a magnetic transduction mechanism and different hyperelastic materials, we have developed sensors that can adapt to irregular surfaces. These sensors measure a wide range of pressures, from ultra-low to medium, and offer variable stiffness, sensitivity, and measurement ranges. The sensors we manufactured exhibit a detection range from 6.8 to 77.4 kPa, a sensitivity range between -5.1 × 10-2 and -0.4 × 10-2 kPa-1, a short recovery time of 0.4 s, low hysteresis values during repeated loading/unloading cycles, and stable response over thousands of pressure cycle. Proof-of-concept experiments validated the sensors’ suitability for breathing monitoring and finger tap detection, highlighting their potential in medical and robotic applications. The results demonstrate a robust strategy for controlling the performance of soft pressure sensors, positioning them as promising candidates for diverse pressure sensing applications.
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