The
increasing demand for wearable electronics and the intensification
of electromagnetic pollution have boosted the exploration of high-performance
flexible microwave absorption (MA) materials. Herein, the hierarchical
Ti3C2T
x
MXene/Ni
chain/ZnO array hybrid nanostructures are rationally constructed on
cotton fabric for acquiring enhanced MA performance and durable self-cleaning
ability. Based on the high dielectric loss capacity of MXenes and
ZnO arrays, by controlling dip-coating numbers of Ni chains, the magnetic
loss can be manipulated to modulate the impedance matching, reflection
loss (RL), and effective absorption bandwidth (EAB, the bandwidth
of RL < −10 dB). The minimum RL value of the designed fabric
can reach −35.1 dB at 8.3 GHz with a thickness of 2.8 mm, and
its EAB can cover the whole X-band with only a 2.2 mm thickness. In
addition, the designed fabric also exhibits superior liquid repellency
and durable self-cleaning ability due to the combination of the hybrid
nanostructures and a superhydrophobic coating. This work provides
an insight for rational design of textile-based MA materials, showing
potential applications in flexible and wearable functional electronics.
a b s t r a c tThree-dimensional (3D) five-directional braided composites are significant structural materials in the fields of astronauts and aeronautics. On the basis of the 3D five-directional braiding process, three types of microstructural unit cell models are established with respect to the interior, surface and corner regions. The mathematical relationships among the structural parameters, such as fiber orientation, fiber volume fraction, the yarn packing factor, are derived. By using these three unit cell models, a micromechanical prediction procedure is described to simulate the stiffness and strength properties of 3D fivedirectional braided composites. Only the in situ constituent fiber and matrix properties of the composites and the fiber volume proportion are required in the simulation. The stress states generated in the constituent fiber and matrix materials are explicitly correlated with the overall applied load on the composites. The predictive stiffness and strength are in good agreement with available experimental data, which demonstrates the applicability of the present analytical model.
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