Flow parameter identification method based on array type artificial hair sensor

• Main Authors: HAO QIQI, WANG YAN
• Format: Patent
• Language: Chinese; English
• Published: 27.05.2022
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS

The invention discloses a flow parameter identification method based on an array type artificial hair sensor. The method comprises the following steps: establishing a geometric model of an artificial hair sensor array formed by a solid computational domain and a fluid computational domain; performing connode mesh generation on the geometric model, importing a fluid mesh file into CFD software, and importing a solid mesh file into finite element software; simulating a series of flow fields under the conditions of incoming flow speed and angle in CFD (computational fluid dynamics) software; the pneumatic pressure, obtained through CFD simulation, of the surface of the artificial hair sensor serves as a main load to be applied to a finite element model of the artificial hair sensor, and corresponding tip displacement is obtained; the tip displacement is used as input, the size and angle of the incoming flow speed are used as output to train a BP neural network, and the trained BP neural network can be used for m