Research On Intelligent Modification Design Of Gear-Rotor-Bearing-Gearbox System Under Multi-factors Condition

As the most widely used torque and motion transmission device in mechanical transmission systems,gear systems are widely used in mechanical equipment manufacturing fields such as fans,automobiles,construction machinery,and aerospace.The quality of its transmission performance directly affects the overall machinery manufacturing equipments’performance and reliability.During the meshing of the gear system,multi-factors including deformation of gear and box,friction,manufacturing and installation errors,often cause vibration and noise of the gear system,which seriously affects its transmission performance.This article takes the gear-rotor-bearing-box system as the research object.The main contents include:The background and significance of the research are introduced.Then,the domestic and foreign scholars’ research status on the nonlinear dynamics of gear systems,parametric modeling of helical gears and gear modification are analyzed,and the existing problems are summarized.Based on this,the main content of this paper is given at the end.The nonlinear dynamic analysis of the multi-factor coupled gear-rotor-bearing-gearbox system is proposed.In the beginning,the lumped mass method is applied to discretize the continuous gear-rotor-bearing-gearbox system,and a nonlinear dynamic model of the gear-rotor-bearing-gearbox system is established.Then,the nonlinear dynamics differential equation of the gear-rotor-bearing-gearbox system is derived based on the Lagrange equation,considering the gearbox,time-varying meshing stiffness,dynamic transmission error,friction,backlash,shape modification and nonlinear bearing force.The 4-5th order Runger-Kutta method is used to solve the differential equations and the dynamic response characteristics of the gear-rotor-bearing-gearbox system is studied.Adjust the parameters of each influence factor,and compare the response curve changes of gears in time and frequency domain diagrams.At last,the study of the nonlinear dynamic response of multi-factor coupled gear-rotor-bearing-gearbox system is performed.The nonlinear dynamics simulation analysis of the gear-rotor-bearing-gearbox system based on ANSYS and Adams is proposed.Firstly,Creo is used to establish parametric accurate 3D model of the gear-rotor-bearing-gearbox system.Then,based on importing the model into ANSYS,corresponding modal netual files are genetated.Finally,the simulation results of the system’s dynamic reponses are obtained by Adams.And,through comparing the simulation results with numerical results,the numerical analysis method proposed is verified to be feasible.The intelligent modification of the gear-rotor-bearing-gearbox system based on improved bacterial foraging algorithm is proposed.Firstly,an intelligent modification optimization model of the gear-rotor-bearing-box system is established,taking the peak-to-peak value of the minimum dynamic transmission error as target,the gear pair modification amount&length as variables to design the optimization scheme.Secondly,an improved bacterial foraging algorithm are proposed to optimize the amount of the modification.Finally,through comparing the dynamic responses and static contact stress before and after optimization,the intelligent modification design of gear-rotor-bearing-bearbox system under multi-factors condition is realized.