| Bearing sealing ring is an important component of product sealing.At present,the optimization design of bearing seal rings in China mostly refers to foreign countries.Engineers rely on their own design experience to optimize the structure of seal rings,which has certain limitations in terms of low efficiency and optimization effect.The design efficiency of sealing ring is low and the result has certain limitations.Therefore,it is of great significance to study the rapid evaluation and optimization design technology of the static sealing performance of lip rubber sealing ring based on simulation technology for improving product quality and accelerating the rapid response speed of enterprise market demand.In this paper,based on numerical simulation and secondary development technology,the rapid performance evaluation and optimization technology of lip rubber seals is studied.Based on the software platfonn of NX and ANSYS,the static sealing performance evaluation technology of lip rubber sealing ring was established by using the parametric modeling technology of CAD and CAE.Combined with multi-objective particle swarm optimization(MPSO)algorithm,on the basis of sensitivity analysis of structural parameters of lip sealing ring to sealing performance indexes,the sealing performance optimization of main lip was realized through multi-objective optimization technology.Finally,based on physical model and process customization development technology of lip seal,a platform for evaluating seal performance and optimizing structural parameters is developed,which improves the efficiency of simulation and optimization of static seal performance.Firstly,based on ANSYS software,the performance evaluation technology of lip rubber seal ring is studied.Based on the requirements of product design,the performance evaluation and optimization indexes of lip sealing ring are analyzed.Considering the geometric nonlinearity,material nonlinearity and contact nonlinearity of rubber sealing ring assembly process,the non-linear static transient analysis technology based on ANSYS was studied,and the validity of simulation modeling technology was verified by experimental data.Then,CAD and CAE parametric modeling were adopted,and Isight multi-objective particle swami optimization algorithm was combined to study the multi-objective optimization modeling technology of sealing performance of lip seals.Using NX software platform,the parametric variation of lip seal model was realized.Based on the ANSYS parameterized language APDL,the performance simulation parameterized drive technology of lip sealing ring was realized.Finally,based on the Isight platform,integrating CAD and CAE parameterized models,combined with the multi-objective optimization requirements of lip seals,the multi-objective optimization theory and multi-objective optimization algorithm were studiedFurthermore,aiming at the goal of optimizing the sealing performance of the main lip of the sealing ring,the structural parameters of the lip sealing ring were optimized.On the basis of studying the influence of structural parameters on the optimization objective,the sealing performance of the seal was optimized by multi-objective optimization technology of product performance,and the design quality of the lip seal ring was improved.Finally,according to the requirements of rapid simulation analysis of products,based on the physical model of seal ring and Femap software process customization and development technology,a platform for rapid simulation and parameter optimization of the assembly process of lip seal ring was developed.The software platform provides performance simulation function,material curve processing function,basic data management function and structure parameter optimization function of many typical products.When using the analysis and optimization software,the design engineer only needs to pay attention to the product structure and working conditions,and does not need to study the technical details of finite element analysis,which reduces the technical threshold and improves the working efficiency of the design engineer. |
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