This thesis presents an approach to optimize the tube hydroforming process using a Genetic Algorithm (GA). A GA in combination with a structural finite element code is used to optimize the internal hydraulic pressure and feed rate while satisfying the forming limit diagram (FLD). Aside from the target of cost reduction, the industrial enterprises are aiming for optimization of their products regarding weight as well as stability and rigidity. This requires reevaluation of conventional design solutions, manufacturing techniques and material selections in the search for alternative solutions. Such an alternative with interesting technical and economical potential is hydroforming, a method for manufacturing a wide range of complicated hollow components from tubular or sheet blank material by means of water pressure. This method can achieve short development times, reduced number of operation steps, high precision, undisturbed material structure and increased uniform strength in the component.; This thesis presents the finite element simulation of the tube hydroforming process and optimization of the loading paths, (i.e., internal pressure and axial feed versus time).
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