Jiaxin
Liu
a,
Yang
Zhou
a,
Chengxu
Lin
a,
Zhe
Wang
a,
Yixuan
Li
a,
Yi
Zhang
b,
Guanglan
Liao
a,
Zirong
Tang
a,
Tielin
Shi
a and
Hu
Long
*a
aState key Laboratory of Intelligent Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, P. R. China. E-mail: longgan88@hust.edu.cn
bSchool of Artificial Intelligence, Jianghan University, Wuhan 430056, P. R. China
First published on 14th April 2025
A new generation of artificial intelligence devices is being developed that require miniaturization and higher working power which result in higher heat flux densities, thus presenting a potential fire hazard. Current fire alarm sensors normally utilize electrically conductive materials that are not compatible with the surface insulation required to work in short circuit-triggered fire disasters. Here, we propose a novel concept and fabrication methods to manufacture durable and fast-response fire alarms with an electrically insulative surface layer. We initially separate the sensing and fireproof function of the fire alarm by creating a multilayer structure, where the conductive, thermally sensitive layer is sandwiched by two fireproof layers. The sensor is fabricated via a unique LEGO®-inspired assembly strategy that creates a nanobridge to coat the fireproof layer on the thermally sensitive layer. The sensor exhibits ultrafast response and recovery times of only 113.54 ms and 111.96 ms, respectively, along with great stability and durability over several cycles. Moreover, the surface BN-ANF layer provides protection for the internal thermally sensitive layer, which insulates it from oxygen and suppress the decomposition of the carbon nanotubes, thus enabling the sensor to be applied as a fire alarm. Upon exposure to fire, the sensor exhibits a fast response speed of 3 s and a long duration of over 1200 s. The fireproofing mechanism is also applied to improve the fire safety of a Joule heating film exposed to simulated short-circuit conditions. This new design concept and fabrication strategy improve the fire safety of a composite film and offer new inspiration for developing high-performance flexible sensors.
Monitoring the occurrence of abnormal temperature status is the most popular and direct approach to provide early warning of fire hazard, as temperature sensors respond faster than other types of sensors that detect smoke and gas.12 Researchers initially used graphene and carbon nanotubes as thermally sensitive materials. Graphene have been proved to be thermally sensitive and is widely adopted in temperature sensitive materials. Researchers have developed different types of temperature sensors for different applications based on graphene, such as field-effect transistors and textile-based and paper-based sensors. A. Harzheim et al.13 combined wide and narrow-legged strip-shaped graphene to form single-material field effect transistors, which can be used as self-powered temperature sensors with extremely high sensitivity. Wang et al.14 used dip-coating of a non-woven fabric into a graphene-based dispersion to fabricate a temperature-sensitive textile with improved thermal stability and mechanical properties. Gong et al.15 utilized direct writing or mask spraying of graphene ink onto a paper substrate. The graphene exhibits low defect density, enabling the sensor to preserve good conductivity to work directly with high performance without the need for a subsequent reduction process. Carbon nanotubes (CNT) are another kind of thermally sensitive material. CNTs can transfer into carbon layers under high temperature, resulting in rapid changes in impedance. Strategies for improving the high temperature sensing behavior of a material mainly include the functionalization of CNT and their combination with inorganic compounds.16 Wang et al.17 used functionalized CNT with amino groups and fabricated a fast response temperature-triggered fire alarm. Ma et al.18 combine CNT with inorganic nanofillers (TiO2) to fabricate a fast response long duration fire alarm. However, these two materials are flammable and easily ignite under exposure to fire.
Therefore, to improve the intrinsic flame-retardant properties of a temperature sensor to enable its application in harsh environments, several attempts have been made in previously reported works and they have made great advances in improving the fire retardant properties of flexible sensors. In 2014, researchers discovered the thermally sensitive properties of MXene, which can be utilized as thermally sensitive materials in fire alarm applications.19 Researchers initially adopted pristine MXene to improve the flame retardancy of composites. Yu et al.20 directly introduced MXene to chitosan layers, effectively suppressing smoke generation and decreasing the fire hazard. Also, modified MXene was applied to further enhance the flame retardant properties. Xue et al.21 intercalated PPDA into a MXene interlayer, where only 1.0 wt% MXene–PPDA enabled a huge decrease in the peak heat release rate of polylactide. Moreover, some researchers have worked on modifying the morphology of MXene. Mao et al.22 produced polymer-decorated MXene networks with a nacre-like aligned structure, where a fish scale–like C/N-doped titania network is formed to provide a barrier to fire expansion. In 2016, a new material based on graphene oxide (GO) was reported for temperature sensing and fire alarms.23 However, GO was found to be thermally unstable and require a high triggering temperature, resulting in a short alarm time and long response time at low temperatures.24,25 Researchers have spared no efforts on working on these problems. To improve the thermal stability, Qu et al.26 adopted an intumescence-assisted strategy where black phosphorene, GO and amino groups serve as an intumescent system that produces a porous carbon layer to protect the substrate. Researchers have also tried molecular modification and an effective thermal transfer strategy to lower the triggering temperature of GO. Huang et al.27 adopted the sulfhydryl groups of 3-mercaptopropyltri-methoxysilan to promote the thermal reduction behavior of the GO network at a high temperature. Meanwhile, Ma et al.28 stated that BN with high thermal conductivity could promote the thermal reduction of GO, creating a faster resistance change and thus a highly sensitive response. Both of these strategies work well to optimize the triggering temperature of GO-based sensors. However, in a fire disaster triggered by an electrical current overload and short circuit, these thermally sensitive materials would cease to be conductive as the heat accumulates. A large external current would trigger a large amount of heat and destroy the sensor immediately. Therefore, optimizing the surface electrical insulation properties of the fire alarm is crucial and necessary. Boron nitride (BN), a fireproof nanofiller, has been applied as an electrical insulation material under various circumstances. Xu et al.29 utilized BN as an insulator in electronic devices to optimize the breakdown voltage and reverse leakage current. Meanwhile, Abiodun et al.30 fabricated BN-polytetrafluoroethylene composite and the dielectric constant optimized to be 16% at most. Therefore, BN is a great candidate for both fireproofing and as an electrical insulation nanofiller for composites materials.
However, offering electrical insulation protection to the fire alarm without harming the fire sensing performance is quite difficult due to its working principles. A fire alarm normally detects temperature variation by generating a certain amount of heat-activated electrons, and so it requires the sensing material to be conductive to offer an electron transport pathway.31 However, the insert of insulation materials into the conductive network would be a barrier to the movement of electrons activated by the heat input, and thus the temperature sensing and fire alarm performance will be weakened as a result. Therefore, the use of electrical insulation is in conflict with the intrinsic working principles of a fire alarm and is hard to utilize in a working fire alarm. New approaches need to be discovered to provide electrical insulation protection to enable the fire alarm to work in an electrically conductive environment.
Herein, we propose a novel concept and fabrication methods to manufacture a durable and fast response fire alarm with an electrically insulative surface. We initially separate the sensing and protective function of the fire alarm, which is composed of a Kevlar nanofiber network hybridized with carbon nanotubes (CNT) and boron nitride (BN). Further, we develop a novel assembly strategy to connect the sensing and protective functional layer. Inspired by the assembly process of LEGO® toys, where different parts are connected by the embossed nodes of the LEGO® components, we mimic this mechanism and create connection nodes in the interlayer space by coating substrates with an aramid nanofibers-dimethyl sulfoxide (ANF-DMSO) dispersion and removing the solvent. In the process, the dispersion diffuses into the micropores between the fibers and transforms into LEGO®-inspired fiber-shaped nanobridges that connect the different layers. In this method opposite functions such as insulation and conduction can be integrated into a single composite film, and a fire alarm with a sensing layer encapsulated by a fire and electrical protective layer is fabricated in this way. The composite film demonstrates extraordinary temperature sensing performance with great stability, ultrafast response, and recovery times when compared to other reported temperature sensors. An improved fitting model enhances the reliability for further standardization and prediction. Additionally, the BN-based encapsulation layer offers fire protection to the internal sensing layer and the enhanced fire safety properties provided by the BN-ANF layer are tested and verified. Compared to bare CNT composite films, the nanobridge-assisted, encapsulated multilayer composite film shows an improved heat release rate (HRR) and total heat release (THR) performance. Additionally, even when exposed to fire, the surface insulation properties can still be maintained. Moreover, the film with a protective layer can withstand persistent burning and be reused multiple times. A fire alarm circuit designed to provide early fire warnings maintains an ultrafast response to flames, allowing repeated use of the composite film. Inspired by a fireproofing mechanism, the composite film exhibits excellent self-Joule heating performance with great stability and durability and can be operated within human-safe voltage ranges. An overcurrent test simulates short-circuit conditions, where the surface BN-ANF layer provides enhanced fire safety, allowing the film to work at higher voltages. In addition, the surface electrical insulation properties are evaluated. In summary, we propose the innovative concept of a novel LEGO®-inspired fabrication method based on the separation and re-assembly of the sensing and protection functions of the fire alarm to produce a fire alarm with superior alarm performance. This work will have find wide application in fire safety and provide guidance for further research.
In the assembly process of LEGO® toys, embossed nodes are grown on the surface of the connection interface and different parts are connected via the unique LEGO® nodes. Therefore, we mimic this process by creating a nanobridge connection from nodes at the interface. The thermally sensitive layers and fireproof layers function as building blocks and are dipped into ANF-DMSO for surface coating, with a thin layer of dispersion attached to the surface. Notably, a lower concentration of ANF-DMSO dispersion was chosen for the preparation process as it exhibits lower viscosity and is more likely to flow across the interface. The functional layers are then stacked in the following sequence: BN-ANF protective layer, temperature-sensitive layer, and BN-ANF protective layer, as a sandwiched structure. Pressure is applied to maintain the stacking process, which helps remove residual dispersion and ensures good contact between the cement and each functional layer. In the previous solvent exchange and freeze-drying procedures, both a gradient protonation process or the random growth of ice crystals can lead to irregular wrinkles in the final ANF composite films. Therefore, applying pressure is necessary for the fabrication process. The stacked sample is heated under pressure, as higher temperatures reduce the viscosity of the dispersion for better permeation into the nanopores. We conducted a series experiments to clarify the most suitable temperature and pressure parameters (Fig. S2–S4, ESI†). The sample was then immersed in water again for another solvent exchange process. The surface-coated ANF-DMSO dispersion layer is then solidified, forming the LEGO®-inspired nanobridges that act as cement to connect each layer. The film is dried in an oven instead of freeze-drying, as the crystal growth of ice in the freeze-drying process can break the interlayer connection, resulting in insufficient connection between each layer.
The schematic illustration of the structure is shown in Fig. 2a. As depicted in the image, two BN-ANF layers cover the internal temperature-sensitive layer, which consists of CNTs deposited on a base ANF layer. Scanning electron microscopy (SEM) was utilized to observe the morphology of each layer. Fig. S5 (ESI†) shows the surface morphology of the BN-ANF protective layer, where the BN flakes are uniformly distributed on the surface of the ANF film, with sizes ranging from 5–10 μm, corresponding to the standard size given in the information of the purchased chemical. The boron nitride nanoflakes distribute uniformly on the surface of the ANF film, which is proved by TEM and EDS mapping of the SEM images (Fig. S6 and S7, ESI†). Fig. S8 (ESI†) shows the skeleton of the ANF film. The discrete nanofibers in the DMSO capture protons in the water solution and combine to assemble a fiber network with numerous pores. Fig. S9 (ESI†) shows the morphology of CNTs, which form a continuous electrically conductive network used to sense temperature changes and transfer current into heat. Fig. 2b–e show the cross-sectional morphology between each layer. Fig. 2b provides an overall view of the BN-ANF layer, the ANF layer, and the CNT layer. The interfaces of each layer are observed in Fig. 2c–e. Energy dispersive spectroscopy (EDS) mapping was used to confirm the composition of each layer, as shown in Fig. S10–S14 (ESI†). Fig. 2c shows the interface between the BN-ANF protective layer and the base ANF base layer, which is initially filled with ANF dispersion. As the dispersion permeates the pore structure between the neighboring ANF and BN-ANF layers, it solidifies upon encountering water. With the removal of DMSO, the discrete nanofibers converge to form LEGO®-like nanobridges that connect the two layers. Fig. 2d shows the cross-sectional surface of the top BN-ANF protective layer and the CNT-assembled temperature-sensitive layer. Compared with Fig. 2c and e, it is evident that the ANF layer and the CNT layer exhibit similar structural characteristics, with wire-like building blocks cross-linked to form the layer. Thus, the same fabrication mechanism was applied between the CNT-sensitive layer and the BN-ANF functional layer. The previously filled dispersion solidifies and transforms into nanobridges connecting the two functional layers. Fig. 2e shows the nanobridge between the CNT-sensitive layer and the ANF base layer, that fabrication of which was different from the previously mentioned mechanism. As COOH@MWCNTs are used for electrical functionalization, the carboxyl groups that branch from the CNTs form a chemical link with the amide groups on the PPTA molecular chain. Therefore, at the interface of the two layers, the carbon nanotubes link with the ANFs on the upper surface to form a hybrid nanobridge for a tight connection between the two layers. The fabricated sample exhibited an ultralow thickness of only 431 μm (Fig. S15, ESI†). The Raman spectra of each layer are shown in Fig. 2f. From top to bottom, the Raman spectra of the CNT, BN-ANF, and ANF are listed in order. The peaks at 1320 cm−1 and 1560 cm−1 correspond to the D band and the G band of the carbon nanotube.33 The spectra of BN-ANF and ANF show similar characteristic peaks, where peaks for the CC stretching (1182, 1275, and 1325 cm−1), amide I (1570 cm−1), and amide II radial vibrational modes (1651 cm−1) are observed.34 A sharp peak at 1367 cm−1 corresponds to the E2g vibration peak of hexagonal BN,35 confirming the co-existence of ANF and BN in the material. In summary, with the assistance of SEM and Raman spectroscopy, we observed the morphology of the cross-sectional surface, confirming the composition of each layer, and clarifying the mechanism of the hetero-interface binding strategy.
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Fig. 3 Temperature sensing performance of the sandwiched composite film. (a) The temperature of thermally sensitive layer corresponding to the temperature of the surface protective layer. (b) Dynamic test of the temperature sensor by exposure to a surface temperature increased stepwise. (c) Cyclical durability test of sensor via repeated cold-plate and hot-plate exposure. (d) Experimental and linear fitting of the relationship between surface temperatures and electrical response. (e) and (f) Response and recovery time evaluation at the beginning and the end of the cyclical durability test. (g) The response time and corresponding temperature variation compared with other reported works.40–47 |
To quantitatively evaluate the sensing performance of the composite film, tests were conducted under various working conditions. A dynamic temperature test was performed to monitor real-time resistance changes with varying source temperatures. Starting from room temperature, the temperature was raised in increments of 20 °C every 120 s and maintained for 120 s before the next increment, up to 200 °C. The real-time response curve is shown in Fig. 3b, where the response is defined as (R − R0)/R0, with R0 representing the initial resistance under room temperature conditions. When compared with the temperature curve, the response curve exhibited a consistent trend. The resistance showed distinguishable and stable plateaus throughout the temperature variations, demonstrating high thermal sensitivity and stability. Fig. 3d analyzes the relationship between the response and temperature. According to previous research, for a self-assembled film containing CNTs, the mathematical model should consider the contact electrical resistance between the CNTs prior to the intrinsic resistance of the CNTs themselves, which should be ignored in the calculation.48 Therefore, an exponential model was applied to fit the temperature-response model for higher accuracy, although both fitting strategies showed excellent reliability. The exponential model achieved an excellent R2 value of 0.9995, ideal for standardization and prediction in practical applications. Furthermore, the durability and stability, crucial for evaluating sensor properties, were assessed by repeatedly subjecting the sensor to hot-plate and cold-plate cycles, as depicted in Fig. 3c and e and f. The sensor exhibited repeatable responses over 10 cycles without significant degradation, indicating excellent stability and durability under harsh thermal cycling conditions. Throughout the cycling process, ultrafast response and recovery times of 113.54 ms and 111.96 ms, respectively, were observed initially. Even after 10 cycles, the response and recovery times remained at 130.91 ms and 90.5 ms, respectively, confirming sustained sensor stability. Compared to previously reported temperature sensors, this sensor demonstrated superior performance (Fig. 3g).
The exceptional properties of the temperature sensor and its improved fire retardant properties indicate its potential for use as a fire alarm. We monitored the resistance change of the middle conductive layer during the combustion process compared with a sample without a protective layer. As shown in Fig. 4f, the sample without protection immediately exhibits increased resistance leading to an open circuit, due to the violent combustion-induced separation of the conductive and base layers. Conversely, the protected sample responds to the fire and, upon removal of the fire, shows resistance recovery to initial levels, indicating the potential for repeated fire exposure. Leveraging the exceptional temperature sensing and flame retardant properties of our material, we designed a simple fire alarm device (Fig. S17, ESI†), connecting sensors to a circuit comprising alarm lights, fire alarm sensors, switchable resistances, and an optical coupler. The sensor's triggering threshold was set to a 50% response to abnormal temperatures. At this threshold setting, the triggering temperature is calculated as 400 °C according to Fig. 4a and d, where the presence of this abnormal temperature can be confirmed to be an occurrence of a fire emergency. Fig. 4g–i and Movie S1 (ESI†) illustrate tests where exposure to fire triggers slow burning, activating the circuit to illuminate the alarm lights within 3 s. The sensors’ robust flame retardancy ensures persistent alarm performance, capable of maintaining alerts for up to 1200 s after fire exposure. We have compared the performance of our fire alarm sensor with other previously reported works and it demonstrates a better performance than other previously reported works49–54 (Table S6, ESI†).
In daily use, the exposure of the CNT heating surface to the ambient environment can lead to dust accumulation and other contamination, resulting in degradation of the heating performance. Therefore, the surface BN-ANF layer, assembled by nanobridges, serves as a protective layer to extend the lifespan and maintain the properties of the heaters. As shown in the IR images in Fig. 5e and Fig. S19 (ESI†), two heaters with identical resistance were compared, one with a BN surface protective layer and one without. The results demonstrate that the generation of the nanobridge does not cause surface damage to the conductive network. When the same driving voltage is applied to both heaters simultaneously via a parallel circuit, no significant temperature difference is observed, indicating that the surface protective layer does not affect the heaters’ performance. In addition, power source faults are common and must be considered for safety to protect the heaters from dangerous accidents. Among these faults, short circuits are the most hazardous, causing devices to experience localized voltages several times higher than the regulated safe value.55 We simulated a short circuit situation by applying voltages double the regulated safe value and compared the performance of heaters with and without the BN-ANF protective layer. As shown in Fig. 5f, the two samples were connected in parallel to ensure the same voltages were applied. When powered on, the sample with the protective layer continued to function at the extremely high voltage of 10 V, which is double the safe working voltage. Meanwhile, the sample without a protective layer immediately caught fire and burned out. Therefore, introducing the protective layer significantly improves the fire safety of the composite material in Joule heating applications.
Footnote |
† Electronic supplementary information (ESI) available: Fig. S1. Preparation and functionalization process of LEGO® building blocks. Fig. S2. The sample fabricated with small pressure. Fig. S3. The sample fabricated with low temperature. Fig. S4. The sample fabricated with high temperature. Fig. S5. SEM image of the BN-ANF protective layer. Fig. S6. TEM image of BN-ANF. Fig. S7. The SEM of BN-ANF and the Boron element mapping. Fig. S8. SEM image of the ANF base layer. Fig. S9. SEM image of the CNT conductive layer. Fig. S10–S14. EDS analysis of different layer. Fig. S15. Photograph and graphic illustration of the ultrathin sample. Fig. S16. Burning residuals of the samples with or without protection layer. Fig. S17. The schematic diagram of the fire alarm circuit. Fig. S18. Electrical insulation properties of the samples with protection layer. Fig. S19. Surface Temperature Distribution with or without protection layer. Table S1. EDS analysis of the upper layer in Fig. 2e. Table S2. EDS analysis of the middle layer in Fig. 2e. Table S3. EDS analysis of the bottom layer in Fig. 2e. Table S4. EDS analysis of the upper layer in Fig. 2g. Table S5. EDS analysis of the bottom layer in Fig. 2g. Table S6. Fire alarm performance comparison with other reported works. See DOI: https://doi.org/10.1039/d5tc00815h |
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