Improvement of the Iterative Algorithm for Numerical Simulation of Springback in Sheet Metal Forming

Jun Han; Fa Zhong Shi; Li Kang Shao

doi:10.4028/www.scientific.net/AMR.102-104.1

Paper Titles

Sponsors and Committees

Preface

Improvement of the Iterative Algorithm for Numerical Simulation of Springback in Sheet Metal Forming
p.1

Optimization of Molding Process Parameters for the CPU Fan Based on Orthogonal Experiment
p.7

Analysis of the Workpiece Elastic Deformation Holding in Fixture with High Definition Metrology
p.12

Finite Element Analysis for the Crankshaft of the Piston Compressor
p.17

Research of Variant Design Method for Product-Level
p.22

Research and Implementation of 3D Surface Finite Element Mesh Generation Based on STEP
p.27

Applying Collaborative Filtering Techniques for Individual Fashion Recommendation
p.31

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 102-104Improvement of the Iterative Algorithm for...

Improvement of the Iterative Algorithm for Numerical Simulation of Springback in Sheet Metal Forming

Abstract:

Springback is an inevitable process of sheet metal forming phenomenon. Numerical simulation is an effective way to solve the springback problem, and more and more attention to industry and academia. This paper describes the implicit springback analysis of the BFGS equilibrium iteration method, and proposes a strategy for optimizing the calculation, reducing the computation and avoiding the potential problem of instability in the calculation. At last, the use of self-developed software gives numerical examples.