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The research results published by Professor Nie Shuangxi's team at Guangxi University in Nature Communications demonstrate a high-temperature environment adaptive tactile sensor based on a friction nanogenerator (TENG). The sensor uses paper-based triboelectric materials to achieve parallel perception of pressure and temperature in a high-temperature environment. This technological breakthrough provides new possibilities for the application of robots in extreme environments, and also provides new ideas for the application of electrospinning technology in the field of smart sensors.
Sensor design: The sensor consists of a friction nanogenerator (P-TENG) that senses pressure and a friction nanogenerator (T-TENG) that senses temperature. It adopts an asymmetric structural design and can output dual signals independently. This design avoids mutual interference between force and thermal stimulation, and achieves high-sensitivity detection of pressure and temperature.
Pressure response: The response time of P-TENG is only 70 ms, and the recovery time is 58 ms, which is much faster than the response time of human touch (139 ms), and the performance has no significant change after 2000 cycles of testing at 200°C.
Temperature response: T-TENG has a temperature sensing range of 25-200°C and a sensitivity linearity of 0.997, showing excellent thermal stability and low cross-sensitivity.
The sensor is integrated into the fingertips of a manipulator for object recognition in high-temperature environments. Combined with neural network technology, the system can accurately identify objects of different temperatures and shapes, with an average recognition accuracy of 94%.
Electrospinning technology can produce nanofibers with high specific surface area, high porosity and excellent flexibility, which have great potential in the field of smart sensors. The combination of the research results of Professor Nie Shuangxi's team and electrospinning technology can be carried out from the following aspects:
Material optimization: Electrospinning technology can be used to prepare high-performance paper-based triboelectric materials. For example, by electrospinning cellulose nanocrystals (CNC) and polymers, the triboelectric properties and mechanical strength of the material can be significantly improved. This material optimization can further improve the performance of the sensor in high-temperature environments.
Structural design: Electrospinning technology can achieve complex fiber structure design, such as core-shell structure, porous structure or aligned fibers. These structures can be used to build more efficient TENG sensors, for example, by designing porous fiber structures to enhance the storage and transfer of triboelectric charges.
Electrospinning technology can be used to prepare sensors that integrate multiple functions. For example, by combining conductive polymers and triboelectric materials, multifunctional sensors with pressure, temperature and humidity sensing capabilities can be developed.
Flexible and wearable applications: Electrospun fibers have good flexibility and air permeability, making them suitable for the development of wearable self-powered sensors. Combined with the high-temperature environment adaptive technology of Professor Nie Shuangxi's team, flexible smart sensors suitable for extreme environments can be developed for use in human-computer interaction, health monitoring and other fields.
The research of Professor Nie Shuangxi's team demonstrates the great potential of paper-based triboelectric materials in high-temperature environments. By combining with electrospinning technology, the material properties can be further optimized, the sensor functions can be expanded, and its application in intelligent robots, wearable devices and extreme environment monitoring can be promoted. This interdisciplinary integration can not only solve the performance bottleneck of current sensors in high-temperature environments, but also provide new ideas and methods for the development of future intelligent technologies.
Electrospinning Nanofibers Article Source:
https://doi.org/10.1038/s41467-024-55771-0