Transactions of Materials and Heat Treatment

Title：Calibration and multi-parameter neural network of the equivalent model of drawbead

Authors： Sun Delin Zeng Pan (Department of Mechanical Engineering Tsinghua University )

Unit：

KeyWords： Finite element method Drawbead Calibration Neural network.

ClassificationCode：TG386

year,vol(issue):pagenumber：2004,29(1):21-26

Abstract：

Drawbead is used to control the flow of the material in sheet metal forming processes. Because of the significant effects of the complicated structure, relative small size, and multiple highly local non\|linear parameters of drawbeads to the precision and efficiency of the simulation, the equivalent model plays an important role. Therefore, the calibration is needed.In this paper, the method for calibration is built, the "Calibration Rule" based on the velocity of material flow is researched and presented, the effect of technical and geometrical parameters to the calibration is discussed, a multi\|parameter continuous calibration is built based on single parameter discrete calibrations and neural network, and the calibration is validated through the simulation of the drawing process of a box.

Funds：

国家杰出青年基金资助 (5982 51 1 7)

Reference：

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