Roll levelling semi-analytical model for process optimization

10th International Conference and Workshop on Numerical Simulation of 3D Sheet Metal Forming Processes

Silvestre, E.^1 ; Garcia, D.^2 ; Galdos, L.^3 ; De Argandoña, E. Saenz^3 ; Mendiguren, J.^3

KONIKER, Forming and Assembly Technological Center, San Andres 20, Mondragon, Gipuzkoa

20500, Spain^1

FAGOR ARrAsATE S. Coop., Apdo. 18, San Andrés 20, Mondragón, Gipuzkoa

20500, Spain^2

Mechanical and Manufacturing Department, Mondragon Unibertsitatea, Loramendi 4, Mondragon, Gipuzkoa

20500, Spain^3

关键词: Computation time;    FEM simulations;    Finite element method analysis;    Machine development;    Manufacturing process;    Optimal setting;    Semi-analytical model;    Ultra high strength steel;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/734/3/032034/pdf
DOI  :  10.1088/1742-6596/734/3/032034

来源: IOP

【 摘 要 】

Roll levelling is a primary manufacturing process used to remove residual stresses and imperfections of metal strips in order to make them suitable for subsequent forming operations. In the last years the importance of this process has been evidenced with the apparition of Ultra High Strength Steels with strength > 900 MPa. The optimal setting of the machine as well as a robust machine design has become critical for the correct processing of these materials. Finite Element Method (FEM) analysis is the widely used technique for both aspects. However, in this case, the FEM simulation times are above the admissible ones in both machine development and process optimization. In the present work, a semi-analytical model based on a discrete bending theory is presented. This model is able to calculate the critical levelling parameters i.e. force, plastification rate, residual stresses in a few seconds. First the semi-analytical model is presented. Next, some experimental industrial cases are analyzed by both the semi-analytical model and the conventional FEM model. Finally, results and computation times of both methods are compared.