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Thermal-mechanical Coupled Simulation Analysis And Structural Optimization On Disk Brake

Posted on:2019-05-17Degree:MasterType:Thesis
Country:ChinaCandidate:Z H XuFull Text:PDF
GTID:2322330542484114Subject:Mechanical engineering
Abstract/Summary:PDF Full Text Request
As a Core components of automotive brake system,brake play an important role in car safety and comfortable driving.The braking process of disc brake is a complex problem of thermal mechanical coupling,which involves the change of stress field and temperature field.The paper applies finite element method to explain the thermal-mechanical coupling phenomena and optimizes the brake disc structure with orthogonal experiment design method and neural network algorithm.Firstly,theories of thermal-mechanical process,include contact theory,friction heat theory and heat conduction theory have been researched by reading massive domestic and foreign related literature(Chapter 1&2).A small SUV front wheel brake's 3D model has been built by SolidWorks,and the finite element model has been meshed and constrained by ABAQUS(Chapter3).Secondly,the result of finite element simulation has been compared to the data of bench test to verify its accuracy.Bake thermal-mechanical coupling characteristics have been analyzed,including the changes of DTV.temperature and stress from radial,axial,circumferential(Chapter 4).Finally,combined with the results of thermal-mechanical coupling characteristics analysis of disc brake,structures of brake have been selected for optimizing the parameters by orthogonal experiment design method and have been ordered by range analysis.Multiple goals have been optimized by comprehensive score method for getting a disc structures optimization result.Combined with neural network algorithm,a neural network optimization method based on orthogonal experiment result is proposed,which reduces the computation cost and improves the design accuracy of brake disc structure.Neural network model is established by MATLAB and trained by the normalization of the data of the orthogonal experiment.Neural network model is used to predict and choose the best brake disc structural parameters from the range of parameter factors in orthogonal experiment.Comparing the structure of the original brake disc and the optimizated structure of two kinds of brake discs,it is found that the thermal mechanical coupling performance of the optimized brake disc is obviously improved.(Chapter 5).
Keywords/Search Tags:disc brakes, thermal-mechanical coupling, structural optimization design, orthogonal experiment, neural network
PDF Full Text Request
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