Simulation of springback variation in forming of advanced high strength steels

Abstract Variations in the mechanical and dimensional properties of the incoming material, lubrication and other forming process parameters are the main causes of springback variation. Variation of springback prevents the applicability of the springback prediction and compensation techniques. Hence, it leads to amplified variations and problems during assembly of the stamped components, in turn, resulting in quality issues. To predict the variation of springback and to improve the robustness of the forming process, variation simulation analysis could be adopted in the early design stage. Design of experiment (DOE) and finite element analysis (FEA) approach was used for the variation simulation and analysis of the springback for advanced high strength steel (AHSS) parts. To avoid the issues caused by the deterministic FEA simulation, random number generation was used to introduce uncertainties in DOE. This approach was, then, applied to investigate the effects of variations in material, blank holder force and friction on the springback variation for an open-channel shaped part made of dual phase (DP) steel. This approach provides a rapid and accurate understanding of the influence of the random process variations on the springback variation of the formed part using FEA techniques eliminating the need for lengthy and costly physical experiments.

[1]  Thomas J. Santner,et al.  The Design and Analysis of Computer Experiments , 2003, Springer Series in Statistics.

[2]  S. Jack Hu,et al.  An offset finite element model and its applications in predicting sheet metal assembly variation , 1995 .

[3]  Scott D. Button Determinant assembled stowage bins—a case study , 1999 .

[4]  R. H. Wagoner,et al.  Simulation of springback , 2002 .

[5]  Jerome Sacks,et al.  Computer Experiments for Quality Control by Parameter Design , 1990 .

[6]  W.Y.D. Yuen,et al.  Springback in the stretch-bending of sheet metal with non-uniform deformation , 1990 .

[7]  Z. T. Zhang,et al.  Effect of Process Variables and Material Properties on the Springback Behavior of 2D-Draw Bending Parts , 1995 .

[8]  Kwansoo Chung,et al.  Spring-back evaluation of automotive sheets based on isotropic-kinematic hardening laws and non-quadratic anisotropic yield functions: Part II: characterization of material properties , 2005 .

[9]  Kwansoo Chung,et al.  Spring-back evaluation of automotive sheets based on isotropic–kinematic hardening laws and non-quadratic anisotropic yield functions, part III: applications , 2005 .

[10]  Fabrizio Micari,et al.  The evaluation of springback in 3D stamping and coining processes , 1998 .

[11]  Luc Papeleux,et al.  Finite element simulation of springback in sheet metal forming , 2002 .

[12]  Y. Tozawa,et al.  Effect of Tensile Force in Stretch-Forming Process on the Springback , 1964 .

[13]  Michael R. Lovell,et al.  Predicting springback in sheet metal forming: an explicit to implicit sequential solution procedure , 1999 .

[14]  M. D. McKay,et al.  A comparison of three methods for selecting values of input variables in the analysis of output from a computer code , 2000 .

[15]  Jerome Sacks,et al.  Designs for Computer Experiments , 1989 .

[16]  Dong-Yol Yang,et al.  An assessment of numerical parameters influencing springback in explicit finite element analysis of sheet metal forming process , 1998 .

[17]  S. Jack Hu,et al.  Variation simulation for deformable sheet metal assemblies using finite element methods , 1997 .

[18]  R. H. Wagoner,et al.  Role of plastic anisotropy and its evolution on springback , 2002 .

[19]  R. J. Eggert,et al.  Design Variation Simulation of Thick-walled Cylinders , 1995 .

[20]  Satish Kini,et al.  An approach to integrating numerical and response surface models for robust design of production systems , 2004 .

[21]  Timothy W. Simpson,et al.  On the Use of Statistics in Design and the Implications for Deterministic Computer Experiments , 1997 .

[22]  R. H. Wagoner,et al.  Measurement of springback , 2002 .

[23]  Kwansoo Chung,et al.  Spring-back evaluation of automotive sheets based on isotropic-kinematic hardening laws and non-quadratic anisotropic yield functions , 2005 .

[24]  R. H. Wagoner,et al.  Simulation of springback with the draw/bend test , 1999, Proceedings of the Second International Conference on Intelligent Processing and Manufacturing of Materials. IPMM'99 (Cat. No.99EX296).

[25]  Karl D. Majeske,et al.  Identifying Sources of Variation in Sheet Metal Stamping , 2003 .

[26]  J. Kleijnen Statistical tools for simulation practitioners , 1986 .