Method for manufacturing piezoelectric flexible sensor

Abstract

The invention belongs to the technical field of sensor manufacturing, and particularly relates to a method for manufacturing a piezoelectric flexible sensor. The method comprises the main process steps of 3D graph drawing, 3D printing, solution spraying, coating of a waterproof bottom layer, coating of silver colloid electrodes, 3D printing of a sensor, solidification of the sensor, temperature-controlled annealing, glue coating on the electrodes, waterproof packaging and electric polarization of the piezoelectric sensor, and the manufactured piezoelectric flexible sensor is adopted for beingcombined with an electromyographic signal pre-processing module, a Bluetooth wireless transmitting module, a Bluetooth wireless receiving module, an electromyographic signal analysis and processing module and a prosthesis movement control module to form a piezoelectric flexible sensing device; the device is scientific and reasonable in manufacturing process, good in product stability and long in service life; through the adoption of the built-in sensor, an electromyographic signal can be directly applied without involving the epidermal tissue and effectively and accurately collected to assistin controlling a prosthesis; meanwhile, by adopting liquid raw materials of PVDF-TrFE and PVDF-TrFE composite materials as 3D printing materials, the raw materials can be saved, and the method is environmentally friendly during application.

Description

Technical field: [0001] The invention belongs to the technical field of sensor production, in particular to a method for preparing a piezoelectric flexible sensor, using flexible piezoelectric material (polyvinylidene fluoride-trifluoroethylene) (PVDF-TrFE) and its composite material as the sensor material, adopting liquid Raw material slurry printing, the sensor is 3D printed into a shape that seamlessly fits the remaining limb muscles and adjacent tissues, and the muscle tension signal is collected. The sensor can work near the optimal working point in a free and tension-free state, with higher sensitivity. The stability and reliability of the working performance of the sensor is very beneficial. The piezoelectric signal sent by the brain to control the muscles of the original residual limb is amplified and filtered, and then wirelessly transmitted to the corresponding prosthetic part to control its movement, so that the prosthetic function is close to the original limb. Ba...

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Problems solved by technology

[0003] At present, most of the existing commercial 3D printing raw materials are powder or filament materials, and the waste of raw materials is serious. However, the price of P(VDF-TrFE) sold in the market is relatively high, so it is necessary to reduce the loss of preparation. Through the transformation of the printing head feeding method Using liquid raw materials as printing materials can save raw materials; (Titterington Don[US]; Wang Patricia[US]; WuBo[US] Inks comprising gallants for 3D printing.US20171564083020170703; French Xavier Boddaert research group reported inkjet printing in 2016 PVDF-TrFE sensor (Haque RI, Vie R, Germainy M, Valbin L, Benaben P, Boddaert X. Inkjet printing of high molecularweight PVDF-TrFE for flexible electronics. Flex Print Electron. 2016; 1(1): 12)), etc.

In terms of analyzing nerve signals, Wang Hong analyzed the whole brain wave to obtain residual limb control information (Human brain-manipulator interface system in micro-power wireless communication mode invented by Wang Hong, Li Chunsheng, Liu Chong, and Zhao Haibin in 2009[P] , the patent number is CN101569569;), but the signal components are complex and the accuracy is affected; we intend to use the signal of the clear residual limb nerve, drawing on the US patent of Hargrove et al. (Hargrove LJ, Simon AM, Young AJ, Lipschutz RD, Finucane SB, Smith DG, et al. Robotic leg control with EMG decoding in anamputee with nerve transfers. N Engl J Med. 2013; 369(13): 1237-42), found that body movements have their own Behavioral patterns, such as the bending of the knee joint, in order to find the signals that control the prosthetics, Hargrove et al. analyzed the EMG signals, and removed the useful signals from the original muscle signals to control the prosthetics (Hargrove LJ, Simon AM, Young AJ, Lipschutz RD, Finucane SB, Smith DG, etal. Robotic leg control with EMG decoding in an amputee with nerve transfers. NEngl J Med.2013; 369(13):1237-42); amputee patients due to their own mobility, lodging and other disabilities There are many certainties, and the method of connecting multiple wires of multiple nerves to the control terminal of the prosthesis is not suitable, so Bluetooth technology is used to wirelessly transmit the myoelectric signals collected in the body to the control terminal of the prosthesis (invented by Chen Peng and Liu Jun in 2016) Prosthesis Surface EMG Signal Acquisition System Based on Wireless Sensor Network [P], Patent No. CN105434088A)

[0004] To sum up, the existing technologies generally suffer from complicated preparation process and high preparation cost. The use of commercial 3D printing raw materials to prepare sensors is a waste of resources and insufficient product stability. Ordinary sensors are susceptible to noise interference by obtaining muscle tension data from the body surface. , skin and other tissues cause signal attenuation and other problems, and the application range is small, the safety is poor, and the service life is short.

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