Fabrication and application of mesh flexible strain sensor
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摘要: 鉴于柔性应变传感器在人体运动监测、健康监测等领域的广泛应用，设计出兼具高灵敏度和大应变范围的柔性应变传感器具有重要的意义。本文基于Ecoflex-石墨烯复合材料，通过模板法制备了四边形和六边形网格式柔性应变传感器。通过对比两种不同网格结构传感器的应变范围与拉伸断裂极限，发现六边形网格柔性应变传感器的综合性能更优异，并在80%应变条件下进行拉伸/释放疲劳寿命检测，此传感器表现出良好的可靠性，同时该传感器在手肘关节运动和人体不同呼吸状况监测方面表现良好。将六边形网格柔性应变传感器组合构建多通道检测系统，实现了多种手势识别，这在人工智能和运动识别领域具有广阔的市场应用前景。Abstract: In view of the wide application of strain sensors in human motion monitoring, health monitoring and other fields, it is important to design flexible strain sensors with high sensitivity and large strain range. In this paper, the quadrilateral and hexagonal mesh flexible strain sensors were prepared by template method based on Ecoflex-graphene composites. By comparing the strain range and tensile breaking limit of two different mesh sensors, it is found that the comprehensive performance of hexagonal mesh flexible strain sensor is more excellent, and under the condition of 80% strain, the tensile/releasing fatigue life detection is carried out. The sensor shows good reliability, and the sensor performs well in monitoring the elbow joint movement and different breathing conditions of the human body. A multi-channel detection system was constructed by combining hexagonal mesh flexible strain sensors to realize multiple gesture recognition, which has a broad market application prospect in the field of artificial intelligence and motion recognition.
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Key words:
- flexible strain sensors /
- graphene /
- mesh structure /
- health monitoring /
- gesture recognition
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图 2 (a) 传感器表面SEM图像；((b)~(d)) 传感器EDS元素分布图；(e) Ecoflex与Ecoflex-石墨烯的XRD图谱
Figure 2. (a) SEM images of sensor surface; ((b)-(d)) Sensor EDS element distribution map; (e) XRD patterns of Ecoflex and Ecoflex-graphene
图 3 (a) 四边形网格传感器模型有限元分析；(b) 六边形网格传感器模型有限元分析
E—Total strain
Figure 3. (a) Finite element analysis of quadrilateral mesh sensor model; (b) Finite element analysis of hexagonal mesh sensor model
图 4 (a) 传感器断裂极限载荷与拉伸应变关系曲线；(b) 传感器电阻变化率与拉伸应变关系曲线；((c), (d)) 传感器断裂实物图；(e) 六边形网格柔性应变传感器20000次拉伸/释放曲线；(f) 六边形网格柔性应变传感器在80%应变下响应与恢复时间
Figure 4. (a) Relationship curve between the ultimate breaking load and the tensile strain of the sensor; (b) Relationship curve between sensor resistance changes rate and tensile strain; ((c), (d)) Sensor fracture diagram; (e) Hexagonal mesh flexible strain sensor 20000 stretch/release curve; (f) Response and recovery time of hexagonal mesh flexible strain sensor under 80% strain
图 5 (a) 手肘弯曲图；(b) 手肘弯曲20°、35°、50°、65°、90°信号反馈曲线；(c) 手肘由0°到90°连续弯曲信号反馈曲线
Figure 5. (a) Elbow bend; (b) Elbow bending 20°, 35°, 50°, 65°, 90° signal feedback curve; (c) Elbow from 0° to 90° continuous bending signal feedback curve
图 6 (a) 人体呼吸检测图；(b) 浅呼吸、正常呼吸和深呼吸的信号反馈曲线
Figure 6. (a) Human breath detection; (b) Signal feedback curve of shallow breathing, normal breathing and deep breathing
图 7 (a) 石头、剪刀、布手势与发光二极管(LED)显示结果；(b) 石头、剪刀、布手势识别信号曲线
ADC—Analog-to-digital converter
Figure 7. (a) Rock-scissors-paper gesture and light-emitting diode (LED) display results; (b) Rock-scissors-paper gesture recognition signal curves
表 1 Ecoflex-石墨烯不同含量电阻率与拉伸应变参数对比
Table 1. Comparison of resistivity and tensile strain parameters of different Ecoflex-graphene contents
Sample Mass ratio of
Ecoflex : grapheneElectrical resistivity/(Ω·m) Strain/% a 1∶0.10 10350.00 460 b 1∶0.11 2420.00 320 c 1∶0.12 58.91 245 d 1∶0.13 1.94 160 e 1∶0.14 1.05 114 f 1∶0.15 0.68 95 
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