Research On Triboelectrification-Induced Mechanical Perception Devices And System Integration

Enabling machines to have perceptual capabilities comparable to humans is an important foundation for the realization of general artificial intelligence.Among them,the mechanical perception ability represented by the sense of touch is the premise for the machine to perform all precise movements.However,traditional mechanical sensing devices have high power consumption,weak interaction,and low intelligence,which are far from meeting the needs of general artificial intelligence.The mechanical sensing device induced by triboelectrification can convert mechanical stimuli into electrical and optical signals without relying on an external power source.It has natural low power consumption and is very suitable for the development of a new generation of mechanical sensing devices.However,the stability of force-to-electricity conversion perception is poor,the stress threshold of force-to-light conversion perception is high,the capability of signal processing and recognition is insufficient.Therefore,it is very important to study the triboelectrification-induced mechanical perception devices and system integration.In this paper,guided by the actual application requirements of general artificial intelligence,we focus on the mechanical sensing mechanism induced by triboelectrification.The microporous composite materials and high-brightness triboluminescent materials were synthesized.The charge dynamic behavior of the triboelectric process was studied in situ.The law of different triboelectric charge transfer mechanisms affected by environmental factors and the physical mechanism of triboelectrification-induced electroluminescence were revealed in-depth.The triboelectrification-induced motion,interaction and tactile perception devices were designed and constructed.The perception systems of touch interaction and smart tactile were developed.The anti-interference motion recognition,touch interactive control and precise tactile recognition were realized.Firstly,the dynamic behaviors of charge generation,accumulation,saturation,residence and dissipation during the triboelectrification process was studied in situ.It is proposed that when the triboelectric sensor is used for the first time,cyclic stress must be applied in advance until the triboelectric charge is saturated.It is revealed that due to thermionic emission and water adsorption,the thermal stability of ion transfer is good,and the moisture stability of electron transfer is good;the change law of the surface field strength of the dielectric material during the triboelectricity process is clarified.Secondly,the graphene foam skeleton microporous composite material was synthesized,and the anti-interference motion sensing device induced by triboelectrification was designed and constructed,which solved the problem of insufficient moisture stability due to water adsorption in the ion transfer type friction electrification mechanism.The insulator-insulator friction pair materials avoid the defect of insufficient thermal stability of traditional metal-insulator friction pair materials due to thermionic emission in the electron transfer type triboelectric mechanism,and achieves sensing stability under ambient temperature of 15? to 60? and humidity of 90%RH.The effective recognition of different motions of the robot was realized.Thirdly,ZnS:Cu,Al high-brightness triboluminescent material was synthesized.The interactive perception device that can convert touch stimuli into electrical signals and visible light in real time was designed and constructed.The new phenomenon of fluid-driven light emission was realized.The physical mechanism of triboelectric induced electroluminescence was revealed.The tribo-electric-optical model was established.A touch interactive perception system integrated with a micro control unit was developed.The electrical signal is used to control the machine.The visible light provides instant visual feedback for the pressure input.A threshold of excitation stress as low as 20 kPa was achieved.The interactive control system demonstrates the huge advantages and broad application prospects in the field of interactive human-machine interface.Finally,a fingerprint-inspired bionic structure that accurately responds to high-frequency mechanical stimuli is designed.The tactile perception device induced by triboelectrification was constructed.The realization path of dynamic and static and high and low frequency compatible mechanical sensing was expanded.The intelligent tactile sensing system integrated with an artificial neural network was developed.The system realized the effective recognition of the surface roughness and texture of the object,especially the excellent performance in recognizing the surface texture of the object.In the demonstration of blind mahjong,the accuracy rate of 84.41%greatly surpassed the 44.85%of human control group.