In order to obtain a uniform and conductive hierarchical network based on PI fiber fabric/CNT structure, four sets of pressure sensors, namely PI/CNT(Stirring), PI/FCNT(Stirring), PI/CNT(EPD), and PI/FCNT(EPD), are designed and fabricated. First, a conventional mechanical stirring method was used to incorporate CNT into the PI fiber fabric (Figure 1e, PI/CNT(Stirring)). As shown in the right session of Figure 1e, only part of the PI fiber fabric turns black while other regions remain unchanged. The underlying reason for this non-uniformity is due to the agglomeration behavior of CNT during the stirring process33, as confirmed in Figure 1f-1h. Furthermore, these agglomerated CNT tend to be gathered in the gaps of the PI fibers rather than the PI surface (Figure 1f-1h, Figure S2a). To improve the uniformity, a highly acidic and thermal oxidation process was used as the initial step to modify the CNT. This process not only was beneficial to the wettability and dispersibility of the CNT, but also made the CNT functionalized with negatively charged carboxyl group34,35. An EPD process36 was then adopted to deposit FCNT on PI fiber fabric (Figure 1i). Under an electric field, these FCNTs migrated to the PI fiber fabric (anode) and were evenly wrapped to the fiber surface (Figure S3a), as evidenced by the optical and SEM images of PI/CNT(EPD) (Figure 1j-1l). It is worth noting that benefiting from the high-porous PI fiber fabric structure, these FCNTs would migrate to each fiber and be uniformly coated onto the fiber surface, even for the fibers adhered to the anode (Figure S3b-d). Figure S2b and Figure S4a represent the doping mechanism and the morphology of PI/FCNT(Stirring) and PI/CNT(EPD), respectively. Compared to PI/CNT(Stirring), FCNT is relatively evenly distributed on the PI fiber surface for PI/FCNT(Stirring), however, the coverage degree is still far below that of PI/FCNT(EPD). The least effective doping method is the EPD process with CNT. It is observed that only a thin layer of CNTs was adhered to one surface (away from the anode) of the PI fiber fabric (Figure S4b). This is well understood because CNT cannot move directionally to the PI fibers under an applied electric field. In general, the optical and SEM morphology images show that the best strategy for obtaining a uniform and conductive network is through adopting the modified CNT with the EPD process. It is also worth noting that a ‘self-assembled’ method can also be adopted to develop the uniform and conductive PI/CNT network, however, the process may be complex and time-comsuming37. Conceivably, compared to the other three kinds of pressure sensors, the abundant contacting points within the conductive hierarchical network will be very beneficial to enhance the sensitivity, sensing range, and reliability of the PI/FCNT(EPD) pressure sensor.
The above results indicate that the modified CNT plays an important role in the proposed PI/FCNT(EPD) pressure sensor. To further probe into the intrinsic reason, we explored the interaction between PI fiber and FCNT, physical properties, and structure difference between FCNT and CNT by transmission electron microscopy (TEM), Raman spectroscopy, Fourier transform infrared (FTIR) spectroscopy, and X-ray photoelectron spectroscopy (XPS). Figure 2a-c and 2d-f are the TEM images of CNT and FCNT, respectively. The tube diameter is decreased from ~16 nm for CNT to ~8 nm for FCNT, which is helpful to improve the dispersion38-39. This partly accounts for the better uniformity for PI/FCNT(Stirring) compared with PI/CNT(Stirring). Raman spectra of CNT and FCNT are shown in Figure 2g. Two characteristic peaks, located at 1321 cm-1 (D band) and 1587 cm-1 (G band), are observed for CNT. After modification, it shows a similar Raman spectrum (D band and G band) but with a more distinguishable D+ band (1607 cm-1). Furthermore, FCNT possesses a narrower full-width at half maximum (FWHM) of 61.7 cm-1 compared with that of as-received CNT (66.2 cm-1). This is because the modification process improves the structural order and purity of the CNT40. Here, the D and D+ bands represent a double-resonance Raman mode due to the amorphous carbon, disorder, defects, or ion intercalation between the graphitic walls. The G band is due to the tangential in-plane stretching vibrations of the carbon-carbon bonds within the graphene sheets.
FTIR spectroscopy analysis of the FCNT provides the direct evidence of the successful modification with CNT (Figure S5 and 2h), showing the characteristic band at 1536, 1573, and 1730 cm-1 which are due to C=O stretching vibration within the carboxyl and carbonyl functional groups41. Note that these characteristic peaks are not observed in CNT. Other notable peaks such as 1386 and 1634 cm-1 observed in both CNT and FCNT are ascribed to the C-O and O-H stretching vibration, respectively.
The existence of strong chemical interactions between FCNT and PI can be deduced from the Raman spectra, XPS, and FTIR analysis, as shown in Figure 2i-k. As for the Raman spectra shown in Figure 2i, two characteristic peaks of PI at 1377 and 1620 cm-1 are observed, corresponding to the stretch vibration of C-N within the imide ring and the aromatic imide ring vibrations of the dianhydride portion (green line). As excepted, PI/FCNT(EPD) Raman spectra (red line) yielded a Raman spectrum containing the D-, G- and D+ bands of FCNT, which moved to a high frequency position compared to that of FCNT. In general, the Raman spectra of PI/FCNT(EPD) overlap and broaden the characteristic peaks of PI and FCNT, which is mainly attributed to the charge transfer between PI and FCNT. The average of the charge density between them causes the peak overlap and broadening31, 41-42. The XPS spectra in Figure S6 show the characteristic peaks of both PI and PI/FCNT(EPD) centered at C1s (285.2 eV), N1s (400 eV), and O1s (532 eV). Compared with PI, the PI/FCNT(EPD) demonstrates an increment of C1s and O1s peak intensity and decrement of N1s peak intensity, which is owing to the existence of FCNT. Figure 2j represents the C1s spectrum, the relative contributions of the C-C, C-N, C-O, C=O are 54.11%, 21.26%, 14.38%, 10.24% for PI, and 59.79%, 16.82%, 12.62%, 10.77% for PI/FCNT (EPD). There is a decreased intensity of the C-N and C-O for PI/FCNT(EPD) compared to that of the PI, which shows the existence of chemical interactions between FCNT and PI34. FTIR analysis of PI and PI/FCNT (EPD) was further performed, as displayed in Figure 2k. Several notable absorption peaks located at 1370, 1499, 1714, and 1776 cm-1 are clearly observed for PI, caused by C-N, C=C stretching vibration, C=O symmetric, and asymmetric stretching, respectively. For PI/FCNT, these absorption peaks shifted to a low wavenumber direction, and the intensity is significantly reduced due to the strong interaction between PI and FCNT. These strong chemical interactions come from the created strong hydrogen bonds between C=O and C=N of imide ring and carboxyl groups of FCNT31, 41-42. In a word, the obtained uniform and conductive PI/FCNT (EPD) film is attributed to the directional migration of FCNT during the EPD process as well as the formed strong hydrogen bonds between PI and FCNT. Figure 2l shows the thermogravimetric analysis curves of PI and PI/FCNT (EPD). At low temperature, the weight loss for PI/FCNT(EPD) is higher than that of PI. This is due to the high conductivity of CNT, which acts as a heat source to induce the decomposition of PI31. It is worth noting that although the thermal stability of the PI/FCNT(EPD) film is decreased, its T5% (the temperature at 5% weight loss, T5%) still exceeds 350 oC, revealing its excellent thermal stability.
Next, we consider the sensing performance of the proposed four sets of pressure sensors. To better understand the sensing mechanism for the PI fiber/CNT architectures and compare their sensing performance, Creo/Engineering software is adopted to build the PI fiber/CNT model and finite element modeling (FEM) to analyze the dynamic working process of the pressure sensors under external pressure. A detailed explanation of the FEM simulation can be found in the Supporting Information (Figure S7-S9). Figure S10a-c shows the established models for PI/CNT(stirring), PI/FCNT(stirring), and PI/FCNT(EPD), respectively. Note that the PI/CNT(EPD) pressure sensor is not taken into consideration, because there is only a thin layer of CNT adhered to one surface of the PI fiber fabric (Figure S4b), and the conductive network is not formed. According to the SEM results shown in Figure 1, Figures S2-S3, the established conductive contact mode for PI/CNT(stirring), PI/FCNT(stirring), and PI/FCNT(EPD) is CNT cluster to CNT cluster, CNT cluster to PI/FCNT fibers, PI/FCNT fibers to PI/FCNT fibers (Figure S10a-c), respectively. Dynamic microscopic deformation processes for these models are displayed in Figures 3a-c and Figures S11-S13. Figure 3d shows the contacting area as a function of time for the four sets of pressure sensors. As the time increases from 0 to 1s, the increment speed of the number contacting for PI/FCNT(EPD) is far above that of the other three types of pressure sensors, indicating that the PI/FCNT(EPD) pressure sensor possesses the highest sensitivity. Besides, the contacting area gradually increases without saturation as the external pressure exceeding 2 MPa, revealing a broad working range for the proposed PI/FCNT(EPD) pressure sensor. The theoretical results presented in Figure 3d and 3e agree well with the experimental results as detailed below.
To experimentally evaluate the performance of the proposed pressure sensors, we set up an intelligent data-acquisition device containing a universal electric signal analyzer Keithley 2400 and a computer-controlled dynamic positioning system. The effects of the CNT morphology and doping technique on the sensitivity of the proposed pressure sensors were studied by measuring the output current change as a function of applied external pressure, as shown in Figure 4a-b. The size of the pressure sensors is 5 mm (length) × 5 mm (width) × 0.33 mm (thickness of the encapsulated sensor). Note that the thickness of the PI fiber fabric is 210 μm, and all the characterization and application shown in the paper are based on this type of PI fiber fabric. As expected, the PI/FCNT(EPD) pressure sensor exhibits higher current change under the same external pressure (namely, higher sensitivity) and broader sensing range than that of other sets of pressure sensors, showing an excellent agreement with the theoretical prediction (Figure 3). PI/FCNT(EPD) pressure sensor exhibits wide linearity and an exceptionally broad sensing range up to 45 MPa. In addition, the fabricated PI/FCNT(EPD) pressure sensors exhibit reliable pressure responses with good uniformity, as shown in Figure S14 (3 PI/FCNT (EPD) pressure sensor). The sensing behavior of the PI/FCNT(EPD) pressure sensors can be divided into two stages (Figure 3b). To explain this, an illustration of the equivalent circuit to show the resistance changes under different pressures is shown in Figure 4c-d. In the low-pressure region (0-3.38 MPa), the PI fiber fabric experienced the densification process, namely, from ‘loose’ PI fiber fabric to ‘compact’ PI fiber fabric. In this region, the point-to-point contact working mechanism played the leading role in the resistance change, and the pressure sensor possessed a relatively high sensitivity because of a large amount of fibers contact, leading to the result that the resistance changed abruptly: from infinite (+∞) to Rc. In the high-pressure region (3.38 MPa-45 MPa), the PI/FCNT(EPD) was almost densified. In this region, the resistance change was mainly dependent on the deformation of the PI/FCNT fibers, namely, the ‘surface-to-surface’ contact played the primary role in the sensitivity.
We attribute this wide linearity and ultra-broad response range to the large yet appropriate compressible region of PI fiber fabric, abundant yet firm contacting sites (high-density FCNT is evenly wrapped and chemically bonded to the PI fibers via EPD process), point-to-point contacting mode within the hierarchical conductive network, and high elastic modulus of both PI and CNT. The result of wide linearity and broad sensing range is, first of all, determined by the compressible region of the PI film. To demonstrate this, two other types of PI fiber fabrics with thicknesses of 50 and 100 μm are designed and fabricated (Figure S15). As shown from the compressive stress-strain curve (Figure S16), the compressible region enlarges with the increase of the PI fiber fabric thickness. We fabricated pressure sensors based on these three types of PI fiber fabrics. The P-I results are shown in Figure S17, demonstrating that the linearity of the pressure sensor is proportional to the compressible region of the PI fiber fabric. In other words, a large compressible region for the PI fiber fabric (210 μm) contributes to the wide linearity. It needs to mention that for the PI/FCNT (EPD) (PI fiber fabric: 210 μm) pressure sensor, there is a very short high sensitivity region (0-6 KPa, corresponding to 0-0.15 N), which may be due to the ‘rapid densification’ of the PI fiber fabric during the initial compressive process (Figure 4e-f). The ‘rapid densification’ region is originated from the relatively low effective modulus of the porous PI fiber fabric. However, for the PI fiber fabrics with the thickness of 50 μm and 100 μm, the ‘rapid densification’ region is not observed. This is due to the following two reasons: (1) the ‘rapid densification’ region of the thin PI fiber fabric is shorter than that of the thicker PI fiber fabric (Figure S16); (2) this short ‘rapid densification’ region is further decreased due to the initial imposed pressure during the packaging process. In order to verify the above analysis, we further fabricated the pressure sensor with thicker PI fiber fabric by stacking two PI fiber fabric (210 μm). As excepted, the ‘rapid densification’ working region of the pressure sensor becomes larger (Figure S18). In other words, the whole linearity is decreased. As a result, PI/FCNT (EPD) pressure sensor based on the PI fiber fabric with the thickness of 210 μm is the optimal selection, which combines the merits of thin, lightweight, flexible, wide linearity, and ultra-broad sensing range. Besides, as mentioned above, PI film with a wide compressible region is an essential prerequisite for realizing high linearity, however, this is not a sufficient condition. Another important factor is the point-to-point contacting mode, which offer large and consistent resistance change during the ‘loose’ PI fiber fabric to ‘compact’ PI fiber fabric region.
Our proposed PI/FCNT(EPD) pressure sensor not only can work at high pressure but also can operate at high temperatures. Figure S19 are the infrared (IR) thermal imaging images of the PI/FCNT(EPD) pressure sensor placed on a heat source, respectively. It can be seen that even if the heating temperature exceeds 300 oC, the morphology and the temperature distribution of the PI/FCNT(EPD) pressure sensor almost remains the same during a heating period of 5 min. The sensing performance of the PI/FCNT(EPD) pressure sensor at 200 oC is also characterized (see Methods), as depicts in Figure S20. Note that before the testing, the PI/FCNT (EPD) film was baked at 200 oC for 48h for the aging process. The proposed sensor device exhibits stable P-I curves (Figures S21), and still possesses a sensitivity of 38.66 and 2.85 MPa-1 in the wide linear ranges of 0-36 KPa and 36 KPa-6.88 MPa. Overall, these high-temperature experimental results demonstrated the flame retardancy and good heat stability of the proposed PI/FCNT pressure sensors, enabling their potential to be used in harsh high-temperature conditions.
Besides the sensitivity and sensing range, another electric characteristic of the PI/FCNT(EPD) pressure sensors was also tested. Figure 4g is the current-voltage (I-V) curves of the PI/FCNT(EPD) under various applied pressures. The I-V curves exhibit high linearity, revealing their excellent ohmic performance independent of the applied voltage. Figure 4h represents the current response of the PI/FCNT(EPD) pressure sensor over five on/off cycles under various external pressures (1.1 MPa, 1.3 MPa, 1.6 MPa, 2 MPa, and 7 MPa). The current experienced fast-changing under the repeated pressure loading and relaxation cycles. Besides, the current remained unchanged during the pressure loading process, indicating the robust repeatability and excellent reliability of the PI/FCNT(EPD) pressure sensors independent of the applied pressures. We further explored the sensors’ durability by repeated loading and unloading pressure of 1.1 MPa for more than 4000 cycles, as shown in Figure 4i. It is found that the sensor maintained its function with minimal output signal degradation. This excellent endurance behavior can be attributed to the strong chemical interaction between PI and FCNT as well as the excellent compressibility of both PI fiber fabric and CNT. To demonstrate this, the compressive mechanical properties of the PI/FCNT(EPD) nanofibrous network under cyclic compressive stress-strain was characterized. Figure S22 shows cyclic compressive stress-strain curves (1000 cycles) for the PI/FCNT(EPD) nanofibrous network at room temperature. Note that the tested PI/FCNT(EPD) nanofibrous network is encapsulated by PI film, and the encapsulation process is the same as that of the PI/FCNT(EPD) pressure sensor (See the methods), which can better reflect the robustness of sensing performance of the PI/FCNT(EPD) pressure sensor. As shown in Figure S22, the PI/FCNT(EPD) nanofibrous network maintains over 91% of its initial maximum stress after 1000 cycles, demonstrating its superior compressive properties, ensuring a reliable and robust performance for long-term applications. In addition, the fabricated sensor exhibits a fast rise time of 100 ms and a relaxation time of 80 ms (Figure 4j), which also indicates that the force unloading process is faster than that of the loading process. The response time is mainly determined by the elastic recovery of the PI fiber fabric. Hysteresis of the PI/FCNT(EPD) pressure sensor (linear region) is characterized as shown in Figure S23, and the sensor exhibits a hysteresis of 5.5%. The residual resistance is about 2.6%. The hysteresis and residual resistance may be due to the viscoelastic behavior of the PI. However, the hysteresis is relatively small, which may be attributed to the following two reasons: (1) large elastic modulus of the PI materials (PI fiber fabric and PI encapsulation layer); (2) the area of the electrode is independent of the sensing area (eliminating the effect of hysteretic behavior of the adhesive which is used to attach the sensing area and the electrode in the conventional vertical-structured pressure sensor). Finally, the electric characteristics including I-V linearity and reliability of the sensor under 100 oC were also tested. As shown in Figure 4k-l, the results demonstrate high linearity and excellent reliability of the PI/FCNT(EPD) pressure sensor, further endowing it with high applicability in high-temperature environments.
These sensing characterizations and analyses demonstrate that the proposed PI/FCNT(EPD) pressure sensor exhibits superior sensing performance including wide linearity, exceptionally broad sensing range, and high-temperature-resistant properties. The wide linearity and relatively high sensitivity reveal that the resulting sensor can act as an ideal candidate to detect the faint pressure (<100 Pa), low-pressure (in the range of KPa, such as human motions), and high pressure (in the range of MPa). To testify the sensing capability, we conducted the following experiments and further explored their applications in real life. First of all, as shown in Figure 5a, a small meter screw (0.161 g, ~63.1 Pa) is put on the sensor. The corresponding current change is displayed in Figure 5b (red line), which shows that such a tiny pressure change can be precisely detected. Moreover, the limit of detection of our sensor device was also measured to be ~8.2 Pa, as depicted in Figure 5b (blue line, an aluminum particle, 0.021 g). Furthermore, a sharp current response for airflow again shows the capability of detecting the faint pressure (Movie S1, Movie S2, Supporting information). Secondly, the sensor’s ability as a skin-mountable human motion detector is explored. For the test, the fabricated PI/FCNT(EPD) pressure sensor was attached to various parts of the human body, as shown in Figure 5c-f. As a result, the fabricated PI/FCNT(EPD) pressure sensor is highly responsive to the repetitive dynamic flexion and straightening motions of the finger joint, wrist, elbow, and ankle. Besides, the cycling tests show that the response and relaxation behaviors are reproducible. The flexible PI/FCNT(EPD) pressure sensor can also be used to make a pulse sensor for the detection of the radial artery pulse (Figure S24). The above results clearly suggest that the human motions can be identified with the PI/FCNT(EPD) pressure sensor, enabling its potential to monitor human physiological information in real-time.
To further improve the practicability of the PI/FCNT(EPD) pressure sensors, a real-time, wireless pressure monitoring system is developed, including data acquisition, wireless data transmission, and display via APP interface on a mobile phone, as displayed in Figure 5g. Here, the function of the processing unit shown in Figure 5g involves the data acquisition collected from the pressure sensor, analog-digital conversion, and wireless data transmission. With the real-time pressure monitoring system, two high-pressure experiments were carried out: (1) the PI/FCNT(EPD) pressure sensors was first compressed to a reference high-pressure of 15.8 MPa, followed by adding a metal with weighing about ~3.8 Kg, which is equivalent to a pressure increment of 1.5 MPa. The real-time pressure monitoring during the metal loading and unloading process is displayed by the APP interface, as shown in the right session of Figure 5g. The results show that the PI/FCNT(EPD) pressure sensor can detect relatively small changes in pressure under extremely high pressures, even though the sensor is in a non-linear state (as shown in Figure 4b). This significantly extends its available pressure sensing range, demonstrating its high potential for precise real-time detection of extremely high pressure. (2) Another experiment is the pressure detection of a vehicle during the running process (Figure 5h). The PI/FCNT(EPD) pressure sensor is repeatedly rolled by the front wheel of a car. The recorded real-time pressure data is collected from APP and displayed in Figure 5i. When the car is driven over the sensor, the pressure increases instantaneously and returns to its original state without any noticeable time lag. Besides, the sensor remained its function after the repeated rolling process. This greatly enables its application in the industry, such as safety monitoring of road, rail, bridge, and tunnel.
An ideal intelligent robot should not only require the basic capability of sensing force and pressure, but also can collect some characteristic data in some harsh high-temperature conditions (for example, firefighting). As a proof of concept, we designed the following experiments. We wrapped the PI/FCNT(EPD) pressure sensor in the fingertips of a mechanical hand while the mechanical hand was mounted on a computer-controlled stepping motor. The mechanic hand with the conformally wrapped sensor moved forward to a high-temperature object (300 oC). When the sensor device touched the surface of the hot object, the output current increased. Here, a threshold current was set for the stepping motor. The stepping motor stopped and moved backward when the output current of the sensor device reached the threshold current. Figure 5j and 5k show the IR images as the mechanic hand moved close to and touched the hot object, respectively. The temperature of the fingertip increased from the room temperature to 81.5 oCand 249 oC, respectively. Figure 5l shows the current responding curve of the PI/CNT(EPD) pressure sensor during the ‘close, touch, feel, and response’ process. It is observed that the current rises steeply to the threshold value and recovers quickly, demonstrating its great potential to serve as a wearable and high sensitivity pressure sensor that is able to withstand harsh environment where high temperature is present.
Ploy (ether-ether-ketone) (PEEK) is a special engingeering plastics and usually adopted as the protecting sheath of the motor rotor benefiting from its superior properties such as good resistant properties to chemical corrosion, et al. During the winding process (Figure 6), the PEEKs will stick together under the high power laser heating process (380 oC), forming a huge tension imposed on the motor rotor. During the actual operation process, it is vital to detect the pre-stresses within the composite sheath of the motor rotor for the high-speed permanent magnet motor rotor to ensure the safety of the whole system. For the pre-stresses monitoring sensor, several points should be addressed: (1) the sensor should be flexible, thin and can be integrated into the motor rotor; (2) the sensor should be high-temperature resistant because there is a (laser) heating process; (3) the sensor can work at high-pressure environment due to the large tension. Herein, we show that the fabricated PI/FCNT(EPD) pressure sensor can act as a promising candidate for the real-time detection of the pre-stresses. Figure 6a-b shows the final PI/FCNT (EPD) pressure sensor with PEEK encapsulation, the whole structure is PEEK-Cu electrode-PI/FCNT(EPD) film-Cu electrode-PEEK. Note that before the encapsulation process, the PI/FCNT (EPD) film was aged at 400 oC for 48h. Figure 6c-d is the experimental setup for the PEEK winding process. The applied pressure on the PI/FCNT (EPD) pressure sensor come from two parts, the roller and the PEEK. Figure 6e shows the corresponding P-I properties of the PI/FCNT(EPD) pressure sensor. It is observed that the repeatability is robust up to 22.5 MPa during the cycling test, demonstrating its potential use in both harsh high temperature and high pressure environment.