Abstract
Sheet metal forming simulations are now widely used for predicting forming defects in the design of drawing dies for automotive panels. As a countermeasure against defects, however, performing a variety of simulations currently leads to the requirement of many man-hours since designers repeat the process of trial and error on the basis of their experience. A numerical optimization methodology has been recently applied to stamping in research. The optimization of forming conditions, such as the drawing bead force of actual parts and the blank size, has resulted in difficulties because it involves a large number of constraints such as formability and cost. Moreover, the objective function has multiple peaks. In this study focus on the independence of variables and develop a new method of searching the best feasible solution in the case of complicated design problems such as automotive panels. There are two steps in the developed method. 1) The optimization process is applied to the design variables with strongly related objective functions. 2) All design variables are optimized by considering all objective functions. This method was compared with optimization techniques such as simulated annealing. More optimal solutions for automotive parts can be obtained by applying the proposed method.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Journal of the Japan Society for Technology of Plasticity
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
