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Simulation And Optimization Analysis Of Aluminum Alloy Wheel Based On Finite Element

Posted on:2021-01-22Degree:MasterType:Thesis
Country:ChinaCandidate:Z WeiFull Text:PDF
GTID:2392330632454196Subject:Mechanical Manufacturing and Automation
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According to the new environmental protection policy and the concept of the community of national destiny,the issue of resource conservation and environmental protection has become the focus of work in recent years.The automobile industry’s share of the national economy has increased year by year and various technologies for reducing weight and reducing emissions have become a hot spot for research.Major auto companies also urgently need to reduce the weight of auto parts.Aluminum alloy wheels are an important part to ensure the safe driving of vehicles.In recent years,aluminum alloy wheels have gradually replaced steel wheels.Aluminum alloy wheels have high safety due to their small calorific value during driving.Good choice.From a social point of view,it helps to save energy and reduce emissions;from the user’s point of view,the optimized aluminum alloy wheels can improve driving quality and safety;from the enterprise’s point of view,it can improve enterprise efficiency and enhance market competition force.In summary,the lightweight research of aluminum alloy wheels is necessary and of great significance.In this paper,the optimization study of aluminum alloy wheels is based on the aluminum alloy A356 material and the geometric model is established according to the important structural characteristics of the original wheel hub.After computer modeling,constraints,loading and other steps,three simulation analyses were carried out on the aluminum alloy wheel of A356,including bending fatigue test,radial impact test and 13° impact test.Based on the simulation results,the three tests of the wheel hub were determined.Stress and strain parameters in the case.Considering that the later finite element analysis needs to be connected with ANSYS data,the hub model is drawn by CATIA.The simulation results show that the maximum stress of the original hub is 152.4Mpa and 104.6Mpa,respectively.In the bending fatigue simulation,the maximum stress value of 152.4Mpa appears at the connection between the spoke and the bolt hole.In the radial impact simulation,the maximum stress value of 104.6Mpa appears at the spoke 1/3 near the hub edge;at 13° impact test Among them,the maximum deformation of the front and back of the hub are 5.964% and 2.917%,respectively,and there is a certain margin compared with the standard 8% front and back 6.2% deformation rate.The stress value of most parts of the hub in the simulation is less than 100 Mpa.After the simulation is completed,through the analysis of the results,the stress value of the aluminum alloy hub in the three tests is less than the yield strength of the material.There is a certain surplus in the structural strength of the original size of the hub,which needs to be optimized.In the optimization part of the hub structure,the rim thickness D1,the spoke thickness D2,and the arc radius R at the transition between the spoke and the rim were determined by response surface method and genetic algorithm respectively.The optimized data for the hub are as follows: D1 is 5.36 mm,D2 is 22.95 mm and R is 36.71 mm.The optimized wheel has a volume reduction of 18.7% compared to the original wheel.After optimizing the wheels,a batch of wheel prototypes were trial-produced with the help of the enterprise.Eight sets of bending fatigue tests,two sets of radial impact tests and three sets of 13 ° impact tests were conducted on the wheel samples according to national standards.After the end of the test,the hub was not damaged within the specified range through color inspection and other methods.The stress value experienced by the hub in the experiment did not reach the yield strength of the material.The hub can complete the design mission and the test results are in good agreement with the simulation results.
Keywords/Search Tags:aluminum alloy wheels, finite element analysis, response surface method, genetic algorithm, topology optimization
PDF Full Text Request
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