AbstractIn sheet metal forming operations design, optimization problems have to be solved inorder to reach optimal process conditions. In these problems, there are some crucialissues to be taken into account:- most of the problems are multi objective problems, generally characterized byconflicting objectives: the definition of proper parameters aimed to prevent bothspringback and fracture is a typical example of an optimization problem in sheet metalforming characterized by conflicting goals;- in an industrial environment a great interest would be focused on theavailability of a cluster of possible optimal solutions instead of a single “almostoptimal” solution.Taking into account all these issues, a multi-objectives optimization procedure basedon Pareto optimal solution search techniques seems a very attractive approach to dealwith sheet metal forming processes design.In this paper, integration between numerical simulations, response surfacemethodology and Pareto optimal solution search techniques was applied in order todesign a 3D complex stamping process. Two process parameters (blank holder forceand drawbeads penetration) were utilized as design variables to be optimized in orderto accomplish two different objectives: control thickness distribution along theworkpiece and avoid excessive geometrical distortions due to springback occurrence.The final aim of the research is to develop a predictive tool able to identify a sort ofprocess window for the analysed operation also minimizing the computational effortwith respect to mono-objective optimization techniques or traditional trial and errormethods.
|Numero di pagine||0|
|Stato di pubblicazione||Published - 2009|