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Experimental Characterizations of the Fracture Data of a Third Generation Advanced High Strength Steel
Technical Paper
2020-01-0205
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
The simulation of a crash event in the design stage of a vehicle facilitates the optimization of crashworthiness and significantly reduces the design cost and time. The development of a fracture material card used in crash simulation is heavily dependent on laboratory testing data. In this paper, the experimental characterization process to generate fracture data for fracture model calibration is discussed. A third-generation advanced high strength steel (AHSS), namely the XG3TM steel, is selected as the example material. For fracture model calibration, fracture locus and load-displacement data are obtained using mechanical testing coupled with digital image correlation (DIC) technique. Test coupons with designed geometries are deformed under different deformation modes including shear, uniaxial tension, plane strain and biaxial stretch conditions. Mini-shear, sub-sized tensile, and Marciniak cup tests are employed to achieve these strain conditions. The gage length sensitivity is analyzed under uniaxial tension and equi-biaxial stretch conditions as references for the mesh regularization in the generalized incremental stress state dependent damage model (GISSMO). The experimental practices discussed in this study are used to generate a complete fracture data package of sheet metals, which is successfully applied in the GISSMO model calibration of the XG3TM steel.
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Citation
Huang, L., Shi, M., and Crosby, D., "Experimental Characterizations of the Fracture Data of a Third Generation Advanced High Strength Steel," SAE Technical Paper 2020-01-0205, 2020, https://doi.org/10.4271/2020-01-0205.Data Sets - Support Documents
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References
- Chen , X. , Chen , G. , and Huang , L. Validation of GISSMO Model for Fracture Prediction of a Third Generation Advanced High Strength Steel SAE Technical Paper 2018-01-0107 2018 https://doi.org/10.4271/2018-01-0107
- Chen , G. , Huang , L. , Link , T.M. , Shi , M.F. et al. Calibration and Validation of GISSMO Damage Model for A 780-MPa Third Generation Advanced High Strength Steel SAE Technical Paper 2020-01-0198 2020
- American Society for Testing Materials 2016
- Abedini , A. , Butcher , C. , Anderson , D. , Worswick , M. et al. Fracture Characterization of Automotive Alloys in Shear Loading SAE Int. J. Mater. Manuf. 8 3 774 782 2015 https://doi.org/10.4271/2015-01-0528
- Japanese Standards Association 1998
- International Organization for Standardization 2008
- Huang , L. , Shi , M. , and Russell , P. Determination of Fracture Strain of Advanced High Strength Steels Using Digital Image Correlation in Combination with Thinning Measurement SAE Technical Paper 2017-01-0314 2017 10.4271/2017-01-0314
- German Association of the Automotive Industry 2017
- Mohr , D. and Marcadet , S.J. Micromechanically-Motivated Phenomenological Hosford-Coulomb Model for Predicting Ductile Fracture Initiation at Low Stress Triaxialites Int. J. Solids Struct. 67-68 40 55 2015 10.1016/2015.02.024
- Livermore Software Technology Corporation (LSTC) 2014