Study on ductile fracture criterion applied to shear fracture prediction of DP780 sheet

• Autorzy: Wu Jiaxiong , Sun Xuguang , Sun Xiaoce , Chang Fu , Yang Shudi , Tan Senqi

Identyfikatory

DOI

10.15632/jtam-pl/176309

• Języki publikacji: EN

Abstrakty

EN

With the development of automotive lightweight technology, the improvement of the design of body sheet metal forming processes has gradually become a research focus. Advanced high- -strength dual-phase steel is the main material for lightweight vehicle bodies, and exploring its accurate ductile fracture criteria plays an important role in predicting the forming fracture behavior of the sheet metal. The characterizations of the plastic behavior of the DP780 sheet before fracture were performed by the Swift hardening model. Three sets of tests from pure shear to tensile-shear stress states are designed to calibrate the ductile fracture parameters of Lou-Huh, Cockcroft-Latham, and Rice-Tracey criteria. The calibrated parameters are used to predict tensile shear test fractures and punching fractures at small bend fillets of molds. The results show the Lou-Huh criterion can accurately predict the shear fracture behavior of the DP780 sheet in the low-stress triaxiality (0.08-0.33).

Słowa kluczowe

EN

ductile fracture criterion; DP 780; fracture prediction; shear fracture; sheet forming

• Wydawca: Polskie Towarzystwo Mechaniki Teoretycznej i Stosowanej
• Czasopismo: Journal of Theoretical and Applied Mechanics
• Rocznik: 2024
• Tom: Vol. 62 nr 1
• Strony: 143--156
• Opis fizyczny: Bibliogr. 20 poz., rys., tab.

Twórcy

autor

Wu Jiaxiong

• China North Vehicle Research Institute, Beijing, China

autor

Sun Xuguang

• China North Vehicle Research Institute, Beijing, China

autor

Sun Xiaoce

• China North Vehicle Research Institute, Beijing, China

autor

Chang Fu

• China North Vehicle Research Institute, Beijing, China

autor

Yang Shudi

• China North Artificial Intelligence and Innovation Research Institute, Beijing, China

autor

Tan Senqi

• China North Artificial Intelligence and Innovation Research Institute, Beijing, China

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025).