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The ongoing fourth industrial revolution, also known as “Industry 4.0” is the driving force behind the digitalization of various manufacturing systems by incorporating smart autonomous systems, the Internet of Things (IoT), robotics, and artificial intelligence. In terms of aerospace composites, comprehensive research has been carried out in the past decade or so to manufacture smart and self‐sensing fiber‐reinforced polymer composites capable of monitoring their own health states. This review focuses on recent developments in smart, self‐sensing fiber‐reinforced composites incorporating nanomaterial‐coated piezoresistive fabric sensors such as carbon nanotubes (CNTs), graphene, and MXene. A comprehensive overview of process monitoring involving the complete resin infusion cycle, such as compaction response, resin flow monitoring, pressure variations within the mold, process‐induced defects monitoring, and cure/post‐cure monitoring, has been provided. The post‐manufacturing structuring health monitoring (SHM) of composites has also been discussed in detail. An overview of the associated challenges of these sensors, such as manufacturability, robustness, conductivity/piezoresistivity calibration, and the effect on structural integrity, is presented. Finally, future insights into the application of these sensors in the physical and cyber domains for smart factories of the future have also been discussed.
The ongoing fourth industrial revolution, also known as “Industry 4.0” is the driving force behind the digitalization of various manufacturing systems by incorporating smart autonomous systems, the Internet of Things (IoT), robotics, and artificial intelligence. In terms of aerospace composites, comprehensive research has been carried out in the past decade or so to manufacture smart and self‐sensing fiber‐reinforced polymer composites capable of monitoring their own health states. This review focuses on recent developments in smart, self‐sensing fiber‐reinforced composites incorporating nanomaterial‐coated piezoresistive fabric sensors such as carbon nanotubes (CNTs), graphene, and MXene. A comprehensive overview of process monitoring involving the complete resin infusion cycle, such as compaction response, resin flow monitoring, pressure variations within the mold, process‐induced defects monitoring, and cure/post‐cure monitoring, has been provided. The post‐manufacturing structuring health monitoring (SHM) of composites has also been discussed in detail. An overview of the associated challenges of these sensors, such as manufacturability, robustness, conductivity/piezoresistivity calibration, and the effect on structural integrity, is presented. Finally, future insights into the application of these sensors in the physical and cyber domains for smart factories of the future have also been discussed.
Two‐phase hybrid modification has been used as an advanced method to improve the strength and toughness of composite. An interfacial modification strategy for simultaneous strengthening, toughening, and damage monitoring of glass fiber (GF)/epoxy composite is proposed by coating rigid multi‐walled carbon nanotubes (MWCNT) and flexible thermoplastic polyurethane (TPU) on the glass fiber surface. The fiber pull‐out and out‐of‐plane experiments were performed to investigate the interfacial modification effect of rigid/flexible hybrid modifier. The results show that the hybrid modifier with a MWCNT/TPU mass ratio of 3:1 (MT@GF‐3/epoxy composite) realizes the most significant enhancement. Specifically, in comparison to GF/epoxy composites, MT@GF‐3/epoxy composite has an increment of 36.52%, 60.96%, 29.56%, and 80.36% in interfacial shear strength (IFSS), transverse fiber bundle test (TFBT) strength, interlaminar shear strength (ILSS) and interlaminar fracture toughness (GIC), respectively, and a significant enhancement in impact resistance. The enhanced interfacial strength and toughness are attributed to the mechanical interlocking, deflection of cracks, and plastic stretching generated by MWCNT and TPU. Results show that the two modifiers interact in a mutually reinforcing way with regard to the strengthening/toughening effects. In addition, multiple mechanical tests confirm the MT@GF/epoxy composites have an excellent damage monitoring ability by recording the resistance change based on the MWCNT's conductive characteristics. This strategy for interfacial modification coating a rigid‐flexible MWCNT/TPU hybrid modifier would offer valuable guidance for improving the strength and toughness of glass fiber/epoxy composites, as well as monitoring and locating the damage.Highlights A rigid/flexible hybrid modifier is proposed for modifying the GF/EP composites. The modifier achieves the greatest enhancement at a 3:1 mass ratio of MWCNT/TPU. The mutual reinforcing mechanism between the rigid/flexible phases is analyzed. Damage monitoring is realized for the modified GF/EP composites.
Biomimetic tactile nervous system (BTNS) inspired by organisms has motivated extensive attention in wearable fields due to its biological similarity, low power consumption, and perception‐memory integration. Though many works about planar‐shape BTNS are developed, few researches could be found in the field of fibrous BTNS (FBTNS) which is superior in terms of strong flexibility, weavability, and high‐density integration. Herein, a FBTNS with multimodal sensibility and memory is proposed, by fusing the fibrous poly lactic acid (PLA)/Ag/MXene/Pt artificial synapse and MXene/EMIMBF4 ionic conductive elastomer. The proposed FBTNS can successfully perceive external stimuli and generate synaptic responses. It also exhibits a short response time (23 ms) and low set power consumption (17 nW). Additionally, the proposed device demonstrates outstanding synaptic plasticity under both mechanical and electrical stimuli, which can simulate the memory function. Simultaneously, the fibrous devices are embedded into textiles to construct tactile arrays, by which biomimetic tactile perception and temporary memory functions are successfully implemented. This work demonstrates the as‐prepared FBTNS can generate biomimetic synaptic signals to serve as artificial feeling signals, it is thought that it could offer a fabric electronic unit integrating with perception and memory for Human‐Computer interaction, and has great potential to build lightweight and comfortable Brain‐Computer interfaces.
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