Electrospun Spandex Nanofiber Webs with Ionic Liquid for Highly Sensitive, Low Hysteresis Piezocapacitive Sensor

Reza, Mohammad Shamim; Ayag, Kevin Ray; Yoo, Mi Kyong; Kim, Kap Jin; Kim, Hongdoo

doi:10.1007/s12221-019-8778-2

Cited by 11 publications

(5 citation statements)

References 23 publications

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“…As loading frequency increases (Figure 4, the C sensor performance starts to attenuate at a similar rate to the R-H3078 sensor indicating that the mechanical hysteresis phenomenon reduces the tracking performance of both sensors. In contrast, the R-PEU sensor was capable of resolving strain rates up to 126 mm s −1 with an attenuation of 36%-the best of the sensors tested and can be attributed to the highly elastic and resilient PEU-core (Reza et al, 2019). The R-H3078, C, and L3 sensors had 61%, 52%, and 60% attenuation, respectively.…”

Section: Figure 8 |mentioning

confidence: 94%

Understanding the Impact of Machine Learning Models on the Performance of Different Flexible Strain Sensor Modalities

et al. 2021

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Fibre strain sensors commonly use three major modalities to transduce strain—piezoresistance, capacitance, and inductance. The electrical signal in response to strain differs between these sensing technologies, having varying sensitivity, maximum measurable loading rate, and susceptibility to deleterious effects like hysteresis and drift. The wide variety of sensor materials and strain tracking applications makes it difficult to choose the best sensor modality for a wearable device when considering signal quality, cost, and difficulty of manufacture. Fibre strain sensor samples employing the three sensing mechanisms are fabricated and subjected to strain using a tensile tester. Their mechanical and electrical properties are measured in response to strain profiles designed to exhibit particular shortcomings of sensor behaviour. Using these data, the sensors are compared to identify materials and sensing technologies well suited for different textile motion tracking applications. Several regression models are trained and validated on random strain pattern data, providing guidance for pairing each sensor with a model architecture that compensates for non-ideal effects. A thermoplastic elastomer-core piezoresistive sensor had the highest sensitivity (average gauge factor: 12.6) and a piezoresistive sensor of similar construction with a polyether urethane-urea core had the largest bandwidth, capable of resolving strain rates above 300% s−1 with 36% signal amplitude attenuation. However, both piezoresistve sensors suffered from larger hysteresis and drift than a coaxial polymer sensor using the capacitive strain sensing mechanism. Machine learning improved the piezoresistive sensors’ root-mean-squared error when tracking a random strain signal by up to 58% while maintaining their high sensitivity, bandwidth, and ease of interfacing electronically.

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Section: Figure 8 |mentioning

confidence: 94%

Understanding the Impact of Machine Learning Models on the Performance of Different Flexible Strain Sensor Modalities

et al. 2021

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“…Other methods for IL-based gel preparation, namely solvent exchange, click reaction, electrostatic interactions, electro-spinning, 3D printing, H-bonding, mechanical ball milling, and roller pressing, are available in the literature [ 15 , 66 , 67 , 68 , 69 , 70 , 71 , 72 ]. Figure 3 shows different methods of obtaining IL-based gels.…”

Section: Preparation Of Il-based Gelmentioning

confidence: 99%

Ionic Liquid-Based Gels for Applications in Electrochemical Energy Storage and Conversion Devices: A Review of Recent Progress and Future Prospects

Sultana

Ahmed

Jiwanti

et al. 2021

Gels

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Ionic liquids (ILs) are molten salts that are entirely composed of ions and have melting temperatures below 100 °C. When immobilized in polymeric matrices by sol–gel or chemical polymerization, they generate gels known as ion gels, ionogels, ionic gels, and so on, which may be used for a variety of electrochemical applications. One of the most significant research domains for IL-based gels is the energy industry, notably for energy storage and conversion devices, due to rising demand for clean, sustainable, and greener energy. Due to characteristics such as nonvolatility, high thermal stability, and strong ionic conductivity, IL-based gels appear to meet the stringent demands/criteria of these diverse application domains. This article focuses on the synthesis pathways of IL-based gel polymer electrolytes/organic gel electrolytes and their applications in batteries (Li-ion and beyond), fuel cells, and supercapacitors. Furthermore, the limitations and future possibilities of IL-based gels in the aforementioned application domains are discussed to support the speedy evolution of these materials in the appropriate applicable sectors.

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“…These micro-nano texture prepared by spin coating ionogel or conductive elastomer precursor on template with surface texture, such as leaf [65], sandpaper [66] and lithography mold [75]. Ionogel fiber mats inherently have large specific surface area prepared through electrospinning, which is also an effective means to manufacture interfacial iontronic type sensor [67,76]. Ionogel film can also be used as soft electrodes of triboelectric principlebased stress sensors, where the ionogel layer is often stacked with a dielectric layer (Figure 4 (c)) [43,63] or contacted directly with a dielectric layer to generate charges (Figure 4(d)) [48].…”

Section: Manufacturing and Structure Of Ifssmentioning

confidence: 99%

“…Sandwiched electric skin and integrated with circuit; sensor array [69] Pressure Solution cast Sandwiched membrane with chamber and sensor array [71] Tactile and pressure Printing or writhing All-paper based sensor array [73] Pressure Paper-based and packaged with complex shaped shell [72] All-paper based, sandwiched with printing electrodes and has different origami structures [74] Electro-spinning All-fabrics based sensor sandwiched with conductive fabrics [67] Sandwiched with Al foil and insulator shell [76]…”

Section: Resistivementioning

confidence: 99%

Ionogel-based flexible stress and strain sensors

Zhao

Liu

Wang

et al. 2021

International Journal of Smart and Nano Materials

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Ionogels is a kind of hybrid materials composed of ionic liquids (ILs) and solid polymer network matrix, has been extensively investigated in the most recent decade. Due to the excellent mechanical properties and ionic conductivity, their promising applications in flexible stress and strain sensors have been proposed and explosively developed. In this review, we briefly summarize research progresses on ionogel based flexible stress and strain sensors (IFSSs) from five aspects, including material synthesis, device fabrication, working principles, characteristics and performances, and potential applications. Some outlooks and perspectives are also proposed at the end of review. The review is expected to provide reference and new insights into the research of IFSS.

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Electrospun Spandex Nanofiber Webs with Ionic Liquid for Highly Sensitive, Low Hysteresis Piezocapacitive Sensor

Cited by 11 publications

References 23 publications

Understanding the Impact of Machine Learning Models on the Performance of Different Flexible Strain Sensor Modalities

Understanding the Impact of Machine Learning Models on the Performance of Different Flexible Strain Sensor Modalities

Ionic Liquid-Based Gels for Applications in Electrochemical Energy Storage and Conversion Devices: A Review of Recent Progress and Future Prospects

Ionogel-based flexible stress and strain sensors

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