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논문 기본 정보

자료유형
학술대회자료
저자정보
Meng Luo (Massachusetts Institute of Technology) Xiaoming Chen (United States Steel Corporation) Ming F. Shi (United States Steel Corporation) Hua-Chu Shih (United States Steel Corporation)
저널정보
한국소성·가공학회 기타자료 NUMIFORM 2010
발행연도
2010.6
수록면
455 - 463 (9page)

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초록· 키워드

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Advanced High Strength Steels (AHSS) are increasingly used in the automotive industry due to their superior strength and substantial weight reduction advantage. However, their limited ductility gives rise to numerous manufacturing issues. One of them is the so-called ‘shear fracture’ often observed on tight radii during stamping processes. Since traditional approaches, such as the Forming Limit Diagram (FLD), are unable to predict this type of fracture, efforts have been made to develop failure criteria that can predict shear fractures. In this paper, a recently developed Modified Mohr-Coulomb (MMC) ductile fracture criterion[1] is adopted to analyze the failure behavior of a Dual Phase (DP) steel sheet during stretch bending operations. The plasticity and ductile fracture of the present sheet are fully characterized by the Hill’48 orthotropic model and the MMC fracture model respectively. Finite Element models with three different element types (3D, shell and plane strain) were built for a Stretch Forming Simulator (SFS) test and numerical simulations with four different R/t ratios (die radius normalized by sheet thickness) were performed. It has been shown that the 3D and shell element models can accurately predict the failure location/mode, the upper die loaddisplacement responses as well as the wall stress and wrap angle at the onset of fracture for all R/t ratios. Furthermore, a series of parametric studies were conducted on the 3D element model, and the effects of tension level (clamping distance) and tooling friction on the failure modes/locations were investigated.

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Abstract
INTRODUCTION
MATERIAL MODELING
EXPERIMENTAL PROCEDURES FOR STRETCH-BENDING
NUMERICAL MODELING AND VALIDATION
PARAMETRIC STUDY
CONCLUSIONS
DISCLAIMER
REFERENCES

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UCI(KEPA) : I410-ECN-0101-2014-550-003336027