Hassan Gul, Khan Muhammad Umair, Bae Jinho, Shuja Ahmed
Department of Ocean System Engineering, Jeju National University, 102 Jejudaehakro, Jeju, 63243, South Korea.
Centre for Advanced Electronics and Photovoltaic Engineering (CAEPE), International Islamic University, H-10, Islamabad, 44000, Pakistan.
Sci Rep. 2020 Oct 26;10(1):18234. doi: 10.1038/s41598-020-75175-6.
In recent years, self-healing property has getting tremendous attention in the future wearable electronic. This paper proposes a novel cut-able and highly stretchable strain sensor utilizing a self-healing function from magnetic force of magnetic iron oxide and graphene nano-composite on an engineered self-healable polyurethane substrate through commercialized inkjet printer DMP-3000. Inducing the magnetic property, magnetic iron oxide is applied to connect between graphene flacks in the nano-composite. To find the best nano-composite, the optimum graphene and magnetic iron oxide blending ratio is 1:1. The proposed sensor shows a high mechanical fracture recovery, sensitivity towards strain, and excellent self-healing property. The proposed devices maintain their performance over 10,000 times bending/relaxing cycles, and 94% of their function are recovered even after cutting them. The device also demonstrates stretchability up to 54.5% and a stretching factor is decreased down to 32.5% after cutting them. The gauge factor of the device is 271.4 at 35%, which means its sensitivity is good. Hence, these results may open a new opportunity towards the design and fabrication of future self-healing wearable strain sensors and their applied electronic devices.
近年来，自修复特性在未来可穿戴电子设备中受到了极大关注。本文提出了一种新型的可切割且高度可拉伸的应变传感器，该传感器利用氧化铁和石墨烯纳米复合材料的磁力在工程化的可自修复聚氨酯基板上实现自修复功能，并通过商业化的喷墨打印机DMP - 3000进行制备。为引入磁性，将氧化铁应用于纳米复合材料中连接石墨烯薄片。为找到最佳的纳米复合材料，石墨烯与氧化铁的最佳混合比例为1:1。所提出的传感器具有高机械断裂恢复能力、对应变的敏感性以及优异的自修复特性。所提出的器件在10000次弯曲/松弛循环后仍能保持其性能，甚至在切割后仍能恢复94%的功能。该器件还展示出高达54.5%的拉伸性，切割后拉伸因子降至32.5%。该器件在35%应变下的应变系数为271.4，这意味着其灵敏度良好。因此，这些结果可能为未来自修复可穿戴应变传感器及其应用电子设备的设计和制造开辟新的机遇。
