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A Study On Springback Forecast And Optimization For U-Shape Sheet Metal Bending Stamping

Posted on:2009-07-15Degree:MasterType:Thesis
Country:ChinaCandidate:Y D XuFull Text:PDF
GTID:2121360245479866Subject:Mechanical design and theory
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Sheet metal forming, widely used in vehicles, navigation and household appliances, is an important method in metal forming, in which bending is one of the significant processes. But springback, which is caused by elastic recovery and residual, is inevitable. The precision and assemblility of formed part is imflunced by the quantity of springback. There are a lot of complicated phenomenons in stamping: collision, abrasion, displacement, rotation and deforming. For there are so many facts in springback, it's really difficult to accurately calculate the quantity of springback in theory. Thus forecast the springback in sheet metal forming is of greate importance for optimal forming and improve the quality of stamp products.In this paper the following works have been done:Analyzing the deforming principle, features and springback facts during different phrases, using U-shape part as a case study. And employ Dynaform as simulating tool in our study.Given the material paramters, the author does orthogonal experiments in which the springback angle is the evaluating target. And get different results under the condition of different Blank Holding Force, Friction Coefficient, the Gap between Moulds and Radius of Moulds, then analyzing how these paramters contribute to the springback angle. At last, a primal optimal schema was found.In order to find optimal configuration of the parameters, the author modeled the relationship between springback angle and above paramters using artificial neural network, and validated the network.By applying the ant colony optimization on the model of springback angle and parameters, so get an optimal configuration of the parameters. It has been proved that modeling the paramters first, and then applying optimal method on the model to find optimal configuration, this will dramatically reduce the time of achieving the target.This thesis synthetically applies numberical simulation, artificial neural network, and ant colony optimization technics in the springback of metal sheet forming, analsying and optimization.
Keywords/Search Tags:Sheet metal forming, Springback, Numberical simulation, Artificial neural network, Process parametric optiaml, Ant colony optimization
PDF Full Text Request
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