Rotation Axis Position Based On Near-field Acoustic Levitation Research On Control And Two-dimensional Suspended Transport Guide

With the continuous development of science and technology,many researchers have studied the mechanism of near-field acoustic levitation,and applications based on this principle have also emerged,such as near-field acoustic levitation bearings,near-field acoustic levitation transmission guides,and so on.Compared with traditional contact bearings,near-field acoustic suspension bearings have the advantages of noncontact,air lubrication,long life,and controllability.However,the bearing-rotor system is a complex nonlinear system,and it takes a long time to solve the axis trajectory.It is very important to construct a new type of solution model.At the same time,it can further study the axis trajectory and improve the working efficiency of the bearing.In the near-field acoustic levitation transmission rail,the non-contact and pollution-free transmission of objects can be realized,and it can be applied to the transmission of high-precision parts.In this paper,the RBF neural network is used to study the axis trajectory of the near-field acoustic levitation bearing.Secondly,a twodimensional transmission platform based on the near-field acoustic levitation is designed and built,and experimental research is carried out.The specific research content is as follows:1.The theoretical model of the near-field acoustic suspension bearing and the prediction model of the axis trajectory based on the RBF neural network are established.Establish the dimensionless Reynolds equation of the bearing based on the principle of viscous fluid lubrication,and establish the squeeze film thickness equation,determine the corresponding boundary conditions,solve the bearing capacity and force analysis of the pad,use the finite difference method and Newton-Raphson iteration The method can be used in MATLAB to solve the corresponding axis static coordinates and other parameters under different input conditions.Secondly,use the RBF neural network to build the axis trajectory prediction model,collect test samples within the effective operating range of the rotor,obtain three input amplitudes and the corresponding axis static coordinates through the program,and build a three-input and two-output axis trajectory prediction Model and construct three regular trajectories for experimental research.2.The validity of the prediction model of the axis trajectory is verified by building a test bench for the axis trajectory.Firstly,the eddy current displacement sensor is calibrated,and the linear relationship between sensor voltage and displacement is obtained.Use the linear equation of tile amplitude and voltage measured in the experiment to convert the amplitude into voltage.The voltage is used as input during the experiment,and the original data of the axis track is collected.The original data is processed for noise reduction and purification,and the processed curve shape The experimental results and prediction results of three trajectories of,circle and triangle are compared and analyzed.3.A new type of two-dimensional transmission platform based on near-field acoustic levitation is designed and experimentally studied.The transmission rail,tool head,suspended object and bracket and other parts are designed through Solid Works software,and the vibration mode and resonance frequency of the transmission rail and tool head are analyzed through ANSYS finite element software.Set up a twodimensional transmission experiment platform,measure the working frequency of the ultrasonic vibrator and the vibration mode of the transmission guide through experiments,and compare and analyze the results in the finite element method.Study the suspension effect under different quality carbon fiber suspension plates and different amplitude input,and verify whether the transmission guide can realize onedimensional transmission and two-dimensional transmission.