Numerical Identification of Optimum Process Parameters for Combined Deep Drawing and Electromagnetic Forming

In this paper, a method is presented for the virtual process design of combinations of deep drawing and electromagnetic forming. With suitably chosen parameters, such process combinations of a quasi-static and an impulse forming process extend forming limits of classical, purely quasi-static forming. To determine parameters leading to the desired forming result, a numerical optimization algorithm is employed. The parameters to be adjusted comprise parameters of the triggering current, such as frequency, amplitude, damping, etc., geometric parameters of the tool coil and parameters of the deep drawing process, as, e.g., drawing radii or tribological parameters. To reduce the required number of evaluations of the target function, a gradient based numerical optimization scheme is employed following directions of decent in the parameter space. The quality of a given parameter set is determined by computing the distance of the simulated forming result to the prescribed ideal shape via a finite element simulation. Forming limits are incorporated by so called forming limit surfaces as constraints to the optimization process, considering rate dependence and prestrain in the second impulse forming step.

[1]  Vincent J. Vohnout A hybrid quasi-static/dynamic process for forming large sheet metal parts from aluminum alloys / , 1998 .

[2]  Alexander Brosius,et al.  Integration of Electromagnetic Calibration into the Deep Drawing Process of an Industrial Demonstrator Part , 2007 .

[3]  B. Svendsen,et al.  Continuum thermodynamic formulation of models for electromagnetic thermoinelastic solids with application in electromagnetic metal forming , 2005 .

[4]  A. Tekkaya,et al.  Electromagnetic forming—A review , 2011 .

[5]  Heribert Blum,et al.  Algorithmic formulation and numerical implementation of coupled electromagnetic‐inelastic continuum models for electromagnetic metal forming , 2006 .

[6]  B. Svendsen,et al.  Continuum Thermodynamic Modeling and Simulation of Electromagnetic Metal Forming Dedicated to the memory of our friend and mentor , 2004 .

[7]  Lorenz T. Biegler,et al.  On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming , 2006, Math. Program..

[8]  Kunwoo Lee,et al.  Principles of CAD/CAM/CAE Systems , 1999 .

[9]  Heribert Blum,et al.  An arbitrary Lagrangian Eulerian approach to the three-dimensional simulation of electromagnetic forming , 2009 .

[10]  Alexander Brosius,et al.  Dynamic forming limits and numerical optimization of combined quasi-static and impulse metal forming , 2012 .

[11]  John A. Nelder,et al.  A Simplex Method for Function Minimization , 1965, Comput. J..

[12]  Ahmed Benallal,et al.  Flow and fracture characteristics of aluminium alloy AA5083–H116 as function of strain rate, temperature and triaxiality , 2004 .

[13]  G. R. Johnson,et al.  Fracture characteristics of three metals subjected to various strains, strain rates, temperatures and pressures , 1985 .