Based On The Simulation Of Tailor Welded Blanks Box Stamping Forming Factors And Variable Blank Holder Force Forecast

As an important approach of the light-weighting technology, tailor-welded blank (TWB) has been broadly applied in the auto-industry. But there exists some problems in TWB forming, such as the movement of the weld-line, the reduction of the formability and so on. In order to improve the designing efficiency, reduce the die testing time and cost, the research of TWB's formability and the control of its process parameters have became the research focus at present.A simple non-axial symmetry part, square-box is chosen as the beginning of the research of TWB forming. Firstly, the TWB forming affecting factors, such as BHF (blank holder force), weld-line location, different thickness ratio and the die fillet radius, are analyzed in theory. Then, these factors are simulated respectively via DYNAFORM. As a result, the variable BHF curve is found, which can improve the formability of the TWB square-box. It is concluded that the formability can be improved when the weld-line location is biased to the thinner blank and the thickness ratio is reduced. Besides, the depth of forming and the movement of weld-line are increased simultaneously, when the die fillet radius is increased. Furthermore, an orthogonal experiment method for the muti-factor muti-target optimization is proposed to get a superior combination of the affecting factors during the forming process. Thus, the instruction of method and theory for the TWB part's design and production in reality is provided.Finally, aimed at the design of the intelligent numerical control stamping tools, a forecasting model is built. It is based on a two hidden layers BP neural network for the BHF. which is a control variable factor during the stamping process. It is verified as feasible by trained and checked in the simulation experiment. Therefore, the foundation research of the intelligent BHF forecast for complex TWB forming parts has been built.