Nowadays, the computer simulations of metal forming processes using the finite element method (FEM), have reached some level of maturity. Inverse problems purpose is to determine one or more of these forming processes simulations input datas, leading to a desired result. The first example is called parameter identification. It consists in evaluating the material parameters for material behavior laws that would lead to the most accurate model, minimizing the difference between experimental and its simulation results. The second example is the initial geometry and tool shape design, consisting in determining the initial shape of the specimen and/or the shape of the forming tools, in order to provide the desired final geometry after forming process. Both inverse problems examples can be formulated as optimization problems. In this paper, we propose to solve these optimization problems with different non-linear optimization methods and to compare their efficiency.

purchase the full-text of this paper (price £20)

go to the previous paper
go to the next paper
return to the table of contents
return to the book description
purchase this book (price £80 +P&P)