| Track-gear meshing widely exists in the track drive,the impact of meshing process often produce vibration and noise to affect the meshing performance.In order to solve the problem that the meshing performance is deteriorated due to impact during the meshing process of track-gear,this paper focuses on the factorial analysis and optimization of the meshing performance based on the two factors of the driving efficiency and the maximum stress of the driving gear.The evaluation indexes and influencing factors of meshing performance are analyzed,A fast method of constructing and reconstructing dynamics model for meshing performance analysis and a zero-effect and semi-normal graph method for factorial design data analysisisproposed.Significant factor analysis of meshing performance and the robustness of the track-gear meshing performance are realized,combined with a tracked vehicle dynamics modeling and performance optimization examples to verify the effectiveness of this method.The main contents of this paper are as follows:In the first chapter,the research background and significance of the thesis are introduced.The research status of mechanism engagement performance analysis method,saturated factorial design analysis method and mechanical structure robust design method are summarized.The research contents and organizational framework are proposed.In the second chapter,in order to solve the problem of complicated trak-gear meshing dynamics modeling,a fast method of constructing and reconstructing dynamics model is proposed for the analysis of track-gear meshing performance.Through text-driven batch mechanics unit automatic addition and geometric model replacement rapid reconstruction,the efficiency and quality of dynamic modeling are improved.In order to solve the calculation problem of driving efficiency in the evaluation index of meshing performance,a measurement method of driving force of tracked vehicle based on force plate is proposed and the influencing factors of meshing performance are analyzed.In the third chapter,a zero-effect and semi-normal graph method for factorial design data analysis is proposed.By determining the number of significant factors,the determination of straight lines and decision regions is determined,the accurate determination of significant factors is achieved,The problem of over-calculating the number of zero-effect errors in the zero-effect search method and the subjectivity of the semi-normal graph method is raised,which improves the accuracy of the judgment of significant factors.The zero-effect and semi-normal graph method is applied to the significance analysis of the influencing factors of the meshing performance,and the validity and accuracy of the extraction method of the significant factor are verified.In the fourth chapter,the robust design method for the optimization of the meshing performance is studied.The design variables and constraints are analyzed.the robust design of the meshing performance are achieved by using Latin hypercube sampling,RBF approximation model fitting and PSO optimization.The Carlo simulation results show the statistical analysis and comparison of the optimization results of the meshing performance,which verifies the robustness design reliability.In the fifth chapter,the application examples of the method for fast modeling of the dynamics of the tracked vehicle and the meshing performance optimization are carried out to verify the rapid construction and reconstruction of the dynamic model of the tracked vehicle.The driving efficiency and the maximum stress of the driving gear during vehicle motion are calculated and analyzed.The robust design results of the optimization of the meshing performance are analyzed by examples.The feasibility of rapid dynamic modeling and meshing performance optimization method is verified.In the sixth chapter,the research results of this article is summarized,and the future research direction is prospected. |
