ACS Applied Materials & Interfaces · 2019 · 90 citations · 26 references
EngineeringMaterials EngineeringMaterials ScienceAdditive ManufacturingFunctional MaterialsSensors3D PrintingFabrication MaterialsGraphene NanomaterialsSmart MaterialsSoft SensorsStrain SensorsActive MaterialsBendingBending PropertiesFabricationGrapheneInterlayer BondingReal-time ProcessingSelf-monitoring
Smart 3D printed structural components with self-monitoring ability show potential applications in some extreme environments, such as deep-water and space. Fused deposition modeling (FDM) provides a feasible solution; however, it is still a big challenge to print structural components with high bending and stretching mechanical properties because of the weak interlayer bonding and the pores. Here, a low-cost and facile fabrication strategy of smart components combining FDM with laser-scribing technology is reported. A thin laser-induced graphene (LIG) layer (∼50 μm) can serve as the active materials of sensors, which can be obtained on the printed polyetheretherketone (PEEK) components. Accordingly, the PEEK-LIG smart components (PEEK-LIG SCs) can self-monitor the working process and the deformations (bidirectional bending and stretching) in real time with high sensitivity. For instance, the gauge factors of PEEK-LIG SCs for bending outward and stretching are up to 155.36 and 212.35 (2-5% strain), respectively. Besides, the PEEK-LIG SCs possess good reliability (>1000 cycles), fast response time (60 ms), and recovery time (247 ms). We further show the excellent performance of the PEEK-LIG smart gear in monitoring the rotation and the abrasion, indicating the wide potential applications of this strategy.
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Laser-induced porous graphene films from commercial polymers
Jian Lin, Zhiwei Peng, Yuanyue Liu et al. · Nature Communications · 2014 · 2.8K citations · Full text
Natural Sciences, Materials Engineering, Materials Science +12
Laser-Induced Graphene by Multiple Lasing: Toward Electronics on Cloth, Paper, and Food
Yieu Chyan, Ruquan Ye, Yilun Li et al. · ACS Nano · 2018 · 1K citations
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