Expert drawbead models for sectional FEM analysis of sheet metal forming processes

Ghoo, Bonyoung; Keum, Y.T.

doi:10.1016/s0924-0136(00)00646-4

Cited by 7 publications

(3 citation statements)

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“…The upward components of the total forces, B, generated by the pressure distribution, dN, acting on the male bead surface, can be computed as follows [7]: where , defined in figure 3, is the loading angle of dN, while F I is the force calculated using equation (5) when ¼ 0. The upward pressure acting on the male bead, F R , can be calculated as follows:…”

Section: Upward Pressure Of the Circular Drawbeadmentioning

confidence: 99%

“…The other is to define the equivalent drawbead instead of the real drawbead. A number of works have been performed with the aim of defining the empirical or analytical formulae for drawbead restraining forces (DBRF) [1][2][3][4][5][6][7]. Other works have also been carried out on the influence of geometric parameters [8] and process parameters [9] of drawbead to sheet metal forming processes.…”

Section: Introductionmentioning

confidence: 99%

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Identification of geometric parameters of drawbead in metal forming processes

Han

et al. 2006

Inverse Problems in Science and Engineering

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A computational inverse technique is presented for identification of geometric parameters of drawbead in sheet forming processes. The explicit dynamic finite element method (FEM) is employed as the forward solver to calculate the maximal effective stress, maximal effective strain and maximal thinning ratio of sheet thickness for known drawbead geometric parameters. A neural network (NN) is adopted as the inverse operator to determine the geometric parameters of circular drawbead. A sample design method with the strategy of updating training sample set is developed for the fast convergence in the training process of NN model. Once the training sample set is updated, the NN structure will be optimized using the genetic algorithm (GA). The numerical examples are presented to demonstrate the efficiency of the technique.

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Section: Upward Pressure Of the Circular Drawbeadmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Identification of geometric parameters of drawbead in metal forming processes

Han

et al. 2006

Inverse Problems in Science and Engineering

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“…But this drawbead couldn't regulate the restrain force, strain and stress.Additionally reserchers studied only the single or the final state forming process parameters. There weren't system, dynamical or comprehensive to optimizing process patrameters simultaneitly [4][5][6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Dynamically Regulate and Control Complicated Auto Panel Uniform Forming

Zhao

Chen²,

Ke-min

et al. 2011

AMR

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A complicated auto panel forming is nonuniform plastic course and it is critical for dynamic reasonable the process parameters to avoid and decrease non-crackle, non-wrinkle, thickness uniformity forming defects. So, the forming of auto panel right beam is simulated by finite element software while the blank holder force and depth, die radius, punch radius of draw bead are independent variables, acquiring forming quality object (the data about the crack, winkle and the thinning)by orthogonal experiment. And the weight of multi-object is calculated by analytic hierarchy process, the grey relational generating and the grey rational grade of multi-objective are all calculated by the grey theory system while forming course is subdivision.Then, the dynamic optimization process parameters of blank holder force and draw bead restrain force are attained. Furthermore, employing the dynamic regulation-control optimization data to numerically simulate the auto panel forming. The conclusion demonstrates that the forming quality is obviously increased by the optimized process parameters.

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