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Springback Research And Parameters Optimization Of U-shaped Bending5182Aluminum Alloy Sheet

Posted on:2015-05-08Degree:MasterType:Thesis
Country:ChinaCandidate:J E ChenFull Text:PDF
GTID:2181330434454433Subject:Materials Processing Engineering
Abstract/Summary:PDF Full Text Request
Aluminum has become the preferred automobile lightweight materials. The use of5182aluminum alloy sheet which has moderate strength, good weldability and corrosion resistance in automotive applications is increasing.5182aluminum alloy plate at room temperature had poor plastic formability, and prone to rebound, wrinkling.In this paper, the bending and springback properties of annealing state5182aluminum alloy sheet in various forming temperature, the friction coefficient and the die gap were investigated by U-bend experiments and discussed their impact through orthogonal test. At the same time, the metallurgical characteristics under different experimental parameters are observed by Microscope. Obtain the optimal parameter combinations that make the spring angle minimal through BP artificial neural networks and genetic algorithms. The results showed that:Springback angle of5182aluminum alloy sheet decreased with the forming temperature and the die gap. While, the influence of friction coefficient on the rebound angle is more complex, but overall, increasing the coefficient of friction will help reduce the springback angle.By orthogonal experiment found that various technological factors affecting the degree of springback angle as follows:forming temperature maximum, then the die gap, followed by a minimum coefficient of friction.Building the bending springback angle prediction model through BP artificial neural network and using the5182U-shaped aluminum sheet bending rebound experimental data for training and testing the network to obtain the optimal parameters which make the springback angle minimal is:the forming temperature of562.83K, the friction coefficient of0.092and the die gap of1.02mm.
Keywords/Search Tags:5182aluminum, U-shaped bending, springback, orthogonaltest, BP neural network, genetic algorithms
PDF Full Text Request
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