Ductile fracture prediction for sheet metal under non-proportional loading paths
Researcher: Rugang Chai
Aim:
This study mainly involves establishing a new approach to forecast the onset of ductile fracture for sheet metals under non-proportional loading cases.
Background:
Ductile fracture models under linear strain paths have been studied for several decades. Therefore, a proportional loading path should be assumed to obtain the reasonable ductile fracture prediction. However, only except for the few cases such as parts with axisymmetric and uniform sections, non-linear strain paths during which the ratio between the major and minor strains varies occur during almost all of the forming processes. The ductile fracture prediction under non-proportional loading cases should be studied.
Methodology:
The incremental method and dual potential rules are applied to map the currently often used strain-based or stress-based ductile fracture models to the principal strain space. Then the principal strains for pre-loading and sub-loading are plotted in the fracture loci to predict whether fracture onset occurs. A novel nonlinear cumulative damage definition is also proposed to consider the influence of nonlinear loading paths.
Key Findings to date:
Several often used fracture models such as DF2012, DF2014, DF2016 and Hosford-Mean stress are mapped into the principal strain space with the incremental and dual potential methods. The experimental data for AA2024-T351 under non-proportional loading conditions are applied to verify the proposed approach, which indicates that the proposed method provides reasonable fracture prediction under non-proportional loading conditions.
Fig. 1 Fracture loci mapped from (a) DF2012, (b) DF2014, (c) DF2016, and (d) Hosford mean stress based and prediction results under plane strain compression followed by shear
Future Work:
- Pre-compression followed by bending tests will be verified.
- Pre-strain experiments based on Marciniak test will be designed.
Contact:
Rugang Chai
Institute for Frontier Materials (IFM)
Deakin University, Geelong
Email: [email protected]
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