A flexible intelligent skin, metamorphic structure and its application for multi-physics measurement

Abstract

The invention belongs to the field of flexible electronic skin, and discloses a flexible intelligent skin for multi-physical-field measurement, a metamorphic structure and application thereof. The flexible intelligent skin sequentially comprises a first electrode, a dielectric layer, a second electrode, a piezoelectric layer and a third electrode from top to bottom, wherein the first electrode, the dielectric layer and the second electrode form a capacitive sensor, and the second electrode, the piezoelectric layer and the third electrode form a piezoelectric sensor. The second electrode comprises two resistors, namely a first resistor and a second resistor, the first resistor forms a resistance sensor, and the first resistor and the second resistor jointly form a capacitance sensor; the third electrode comprises two resistors with different thermoelectric coefficients, namely a third resistor and a fourth resistor, the third resistor forms a resistance sensor, and the third resistor and the fourth resistor jointly form a thermocouple sensor. Measurement of physical quantities such as pressure, temperature, strain, vibration, humidity, flow velocity, health state and the like is realized, functions are highly integrated, and the structure is simplified.

Description

technical field [0001] The invention belongs to the field of flexible electronic skin, and more specifically relates to a flexible intelligent skin for multi-physical field measurement, a metamorphic structure and applications thereof. Background technique [0002] The wind tunnel test of the aircraft in the design stage and the attitude adjustment during the flight all need to obtain flight parameters such as flight speed adjustment, attitude adjustment, maneuverability operation, and environmental perception. It depends on the real-time acquisition of flight aerodynamic parameters on its surface. Under the airflow environment, the aircraft surface flow field, wind pressure and wind resistance, temperature and humidity, vibration characteristics and other parameters are obtained. At present, the more mature drilling methods and intelligent coating methods in wind tunnel tests are not only costly and complicated to measure, but also have a relatively single measurement volum...

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Problems solved by technology

[0003] Some related schemes have been proposed in the prior art. For example, Yuan Weizheng’s team at Northwestern Polytechnical University proposed a flexible and lightweight skin, using optical methods, hot film methods, etc. to measure environmental parameters such as pressure and flow velocity (Chen Shuang, Li Xiaoying, Ma Binghe, et al. MEMS miniature pressure sensor for air flow measurement on skin outer surface[J]. Machinery Science and Technology, 2005(3): 312-314. Liu Kui, Yuan Weizheng, Zhong Junwei, et al. al. Research on the application of miniature flexible thermal sensor arrays [J]. Journal of Instrumentation, 2007, 28(9): 1583-1587.), very thin and soft, with high sensitivity and precision, but relatively few physical quantities to be measured, Mainly focus on pressure, shear stress, flow velocity, etc., and each physical quantity has to be measured separately

Qing Xinlin's team from Xiamen University prepared an ultra-stretch sensor network, which can integrate multiple functions by stacking and stacking to prepare a large-area, multifunctional sensor network (Qing XP. Distributed multifunctional sensor network for composite structural state sensing .Proceedings of SPIE-The International Society for Optical Engineering 2012,8345(2):103), however, the sensor density is not enough to meet the needs of highly integrated sensors on the surface of the aircraft

Moreover, the complexity of the sensor network is quite high, which greatly increases the difficulty of preparation and testing.

[0004] For the distributed measurement of multi-physical quantities on the large-area surface of the aircraft, the existing technologies either cannot meet the online and in-situ measurement of multi-physics fields, or cannot guarantee the integration density of sensors under the premise of ensuring multi-functionality. Increased the difficulty of preparation and testing of sensor networks

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