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Accurate forecasting of springback continues to pose a significant challenge in sheet metal forming processes. The present paper presents a numerical model designed for the precise prediction of springback, allowing for a deeper understanding of plasticity behavior during cold forming operations in sheet metals. The key contribution of this model is the introduction of a non-associated anisotropic constitutive model featuring nonlinear mixed isotropic–kinematic hardening. This model is derived from Hill’48 quadratic function and it was implemented into ABAQUS 6.13 software environment through the user defined UMAT subroutine. For improved precision, kinematic hardening parameters specific to 5083 aluminum sheet metal were meticulously derived from cyclic shear experiments. Our results demonstrate the model’s strong capability in predicting springback during the U-bending operation, achieving remarkable accuracy. The design of experiments DOE is used as a statistical method to optimize the number of experiments and analyze the effects of key input factors. In this study, sheet thickness, punch speed, and sampling angle relative to the rolling direction (RD) are examined at different levels to assess their impact on folding force and springback. The strong agreement between experimental results and theoretical predictions confirms the accuracy and reliability of the proposed models in estimating folding force and springback.
Details
Accuracy;
Plastic properties;
Design of experiments;
Mathematical analysis;
Folding;
Metal forming;
Optimization techniques;
Constitutive models;
Computer simulation;
Numerical analysis;
Metal sheets;
Quadratic equations;
Influence;
Statistical analysis;
Springback;
Rolling direction;
Shear tests;
Hypotheses;
Numerical models;
Hardening;
Aluminum alloys;
Statistical methods;
Mathematical models;
Anisotropy;
Deformation;
Shear strain;
Cold working
; Bouhamed Abir 2 ; Wali Mondher 3
; Kamoun Taoufik 4 ; Muapper, Alhadri 1 ; Ayadi Badreddine 1 ; Alharbi Sattam 1
; Rajhi Wajdi 1 1 Department of Mechanical Engineering, College of Engineering, University of Ha’il, Ha’il City 81451, Saudi Arabia
2 Laboratory of Electrochemistry and Environment (LEE), National Engineering School of Sfax, University of Sfax, Sfax 5080, Tunisia
3 Laboratory of Electrochemistry and Environment (LEE), National Engineering School of Sfax, University of Sfax, Sfax 5080, Tunisia, Higher School of Sciences and Technologie of Hammam Sousse, University of Sousse, Sousse 4011, Tunisia
4 Higher Institute of Technological Studies of Sfax, Sfax 3099, Tunisia