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EN
The paper presents an approach to the impact of process parameters in innovative RTH (Rapid Tube Hydroforming) technology for shaping closed metal profiles in flexible and deformable dies. In order to implement the assumed deformation of the deformed profile, the RTH technology requires the monitoring and control of numerous technological parameters, including geometric, material, and technological variables. The paper proposes a two-stage research procedure considering hard modelling (constitutive) and soft modelling (data-driven). Due to the complexity of the technological process, it was required to develop a numerical finite element method FEM model focused on obtaining the adequate profile deformation measured by the ellipsoidality of the cylindrical profile. Based on the results of the numerical experiments, a preliminary soft mathematical model using ANN was developed. Analysing the soft model results, several statistical hypotheses were made and verified to investigate the significance of selected process parameters. Thanks to this, it was possible to select the most important process parameters, i.e., the properties of moulding sands used for RTH dies: the angle of internal friction and cohesion.
EN
Warm hydroforming is used widely to increase the formability of aluminum and magnesium tubes. Prediction of forming limit is a vital problem in designing the warm hydroforming process of tubes. In this paper, bulge height of aluminum tubes AA6063 is predicted using ductile fracture criteria at high temperatures. Ductile fracture criteria were calibrated by performing several uniaxial tensile tests at different temperatures and strain rates. Fracture strain and work functions were obtained based on Zener–Holloman parameter. Free bulging process of tubes was simulated using finite element method and different loading curves were used to bulge the tubes. Prediction of ductile fracture was compared with the experimental results measured on a warm free bulging set-up. The comparison shows that Ayada ductile fracture criterion is able to predict the bulge height of aluminum tubes at high temperatures.
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