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Stamping Forming Simulation And Springback Prediction Of The Autobody Panel

Posted on:2008-10-25Degree:MasterType:Thesis
Country:ChinaCandidate:Z Y MeiFull Text:PDF
GTID:2132360215496858Subject:Carrier Engineering
Abstract/Summary:PDF Full Text Request
In the autobody panel stamping forming process, the rule of blank deforming is complicated and difficult to be analyzed because of the complex autobody panel structure and exigent precision and surface quality and various forming parameters affecting the stamping forming process of autobody panel. Compared with other parts of the automobile, the panels, especially autobody panels change most frequently and their market time are shortest. With the development of the automobile industry, the springback defect of the formed autobody panel becomes more and more intractable, it has much important realistic meaning to improve the accuracy of manufacture, reduce the cost of die and shorten the time cycle of die development. Consequently, the prediction and control of the springback become one of the hottest and most difficult subjects in autobody panel manufacturing.The front panel is a basic type of autobody panel. The simulation of stamping forming process for the front panel is experimentized according to various stamping parameters. With the result of simulation experiment, partial parameters which effect on the stamping forming performance are studied. And then, depending on the simulation experiment, the springback simulation experiment of front panel is finished, and using orthogonal experiment qualitatively analyzes the stamping parameters which effect on springback. Based on orthogonal experiment, BP neural network is used to establish the prediction model of springback, and predicts the springback magnitude of front panel with various stamping parameters (blank holder pressure, frictional coefficient, thickness of blank), the result of prediction is satisfactory. And then, the springback magnitude which is predicted by BP neural network is adopted to compare with the result of simulation experiment, the veracity and reliability of using simulation experiment and BP neural network to predict springback are validated. At last, the springback is compensated, and the cupping die of front panel is designed.
Keywords/Search Tags:autobody panel, forming simulation, springback, orthogonal experiment, neural network, die design
PDF Full Text Request
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