Research On The Quality Of Aluminum Alloy Wheel Hubs Driven By Manufacturing Data

As a part of the landing gear,the wheel hub is a very important part of the aircraft.Because of the long friction,high strength and high load working environment,the effect of its quality on the safety of the aircraft is self-evident.As a typical forging part,the microstructure of wheel hub affects its mechanical properties and service life fundamentally.To find the best forging process to improve the microstructure of the hub,make the grain finer even,improve its mechanical properties and mechanical properties,has been an important issue in the wheel forging process.Moreover,after a certain amount of cold plastic deformation,the heat treatment of metal materials can improve the structural stability and mechanical properties of the materials.Especially for the deformable aluminum alloy with heat treatment,the reasonable deformation and heat treatment process parameters can make the mechanical properties of the aluminum alloy greatly improved,and the high strength and high toughness aluminum alloy materials are prepared.In order to study the quality of the wheel hub of the machine wheel,this paper takes the 7A04 aluminum alloy hub as an example,and studies the microstructure evolution of the billet and the corresponding group by using the isothermal compression experiment,the finite element simulation of isothermal forging forming,the mechanical stretching and the hardness test,aiming at the two parts of the greatest influence on the quality of the aluminum alloy wheel hub.Weaving performance,forging forming rule and hot working behavior of 7A40 aluminum alloy wheel hub.The main work and conclusions are as follows:(1)Using thermal simulation tests and true stress-strain curves,the dynamic recrystallization of 7A04 aluminum alloy was investigated.Based on the establishment of the material model,the die forging method was used to analyze the wheel forging process and heat treatment process,and the wheel hub forging and heat treatment process parameters studied were determined,and related experimental research was conducted.(2)For the wheel forging process,using the DEFORM-3D software platform,the 7A04 aluminum alloy hub forging process was simulated.At the same time,the microstructure evolution rule was simulated using the cellular automata model,and the forging process was applied to the 7A04 aluminum alloy wheels.The impact of the microstructure.Based on data-driven,using different algorithms,the wheel forging process parameters were optimized,namely the blank temperature,mold preheat temperature,compression speed,friction coefficient as the optimization factor,and the average grain size and the average recrystallization percentage optimization The goal is optimized,and its influence law is analyzed.Then,the analysis results of different algorithms are compared.The results show that: the gray-response surface method is superior to other algorithms;the test optimization program is designed to obtain the optimal set of processes.Parameters: mold temperature 450?,billet temperature 460?,forming speed 8 mm ? -1,friction coefficient of 0.2;Finally,the experimental parameters of this group were tested.(3)For the hub heat treatment process,based on data-driven,using the gray-response surface method to optimize the heat treatment process parameters,namely,the solution temperature,solid solution time,aging temperature,aging time as the optimization factor,tensile strength,The yield strength and elongation were optimized for the optimization goal,and the influence law was analyzed.The test optimization scheme was designed and the optimal set of process parameters was obtained: solution temperature 450?,solid solution time 1h,aging temperature 120?,aging time 24 h,this group of process parameters were tested and verified;finally,an application model of heat treatment under various conditions was established.This model better reflects the solid solution time and solid solution of 7A04 aluminum alloy wheel heat treatment.Temperature,aging time,aging temperature and yield strength,tensile strength and elongation of the corresponding relationship.(4)For joint optimization of hubs,based on data-driven,using a gray-response algorithm to optimize the joint process of 7A04 aluminum alloy wheels,using the optimized forging scheme,the best heat treatment scheme as the optimization factor,and the tensile strength,yielding The strength and elongation were optimized for the optimization goal,and the influence law was analyzed.The experiment optimization scheme was designed and the optimal set of process parameters was obtained: the combination of scheme one(3)and scheme two(3),The set of process parameters was verified by production tests.The results show that the combined optimization has the advantages of lower cost and better effect than the single optimization.