Modeling and control of micro object motion based on acoustic manipulation
Manipulation of the tiny objects by acoustic waves shows broad application prospects in precision medicine,industrial control of droplets and particles.Traditional acoustic manipulation methods assumed that the influence of acoustic waves on particles is disordered in the motion process.Recently,it has been found that the acoustic vibration has some certain rules.However,the lack of accurate and effective modeling methods limits its application.Thus,to solve this problem,a method combining the Faster R-CNN algorithm and local weighted regression(LOESS)algorithm is designed to build the model the acoustic field.First,the image recognition technology is applied to identify the position of particles on the Chladni plate.Then,the displacement of small particles will be calculated under different positions on the Chladni plate with a fixed acoustic frequency.After collecting large sets of displacement data,based on the LOESS algorithm,a complete acoustic displacement model on the plate is built to analyze the influence of the acoustic force field on the motion of small objects.The simulation experiment of particle manipulation on the Chladni plate is also carried out with the proposed model.Finally,the motion control of the fragile instant coffee particles is verified based on the proposed acoustic manipulation platform.Compared with the simulation experiment,the feasibility of the modeling and control method is proved,and the motion control of micro particles is successfully realized.
sonic manipulationtiny object controlChladni plateFaster R-CNNLOESS
万方数据
维普
