Finite element simulation on strain-induced martensitic transformation effects in TRIP steel sheet forming

2007 ◽  
Vol 39 (3) ◽  
pp. 593-599 ◽  
Author(s):  
W.J. Dan ◽  
W.G. Zhang ◽  
S.H. Li ◽  
Z.Q. Lin
Keyword(s):  
Finite Element ◽  
Martensitic Transformation ◽  
Finite Element Simulation ◽  
Trip Steel ◽  
Steel Sheet ◽  
Sheet Forming ◽  
Element Simulation ◽  
Trip Steel Sheet

A STUDY ON IMPACT DEFORMATION AND TRANSFORMATION BEHAVIOR OF TRIP STEEL BY FINITE ELEMENT SIMULATION AND EXPERIMENT

2008 ◽  
Vol 22 (31n32) ◽  
pp. 5985-5990 ◽  
Author(s):  
TAKESHI IWAMOTO ◽  
TOSHIYUKI SAWA ◽  
MOHAMMED CHERKAOUI
Keyword(s):  
Finite Element ◽  
Martensitic Transformation ◽  
Finite Element Simulation ◽  
Trip Steel ◽  
Deformation Behavior ◽  
Implicit Time ◽  
Transformation Behavior ◽  
Impact Deformation ◽  
Element Simulation ◽  
The Impact

Due to strain-induced martensitic transformation (SIMT), the strength, ductility and toughness of TRIP steel are enhanced. The impact deformation behavior of TRIP steel is very important because it is investigated to apply it for the shock absorption member in automobile industries. However, its behavior is still unclear since it is quite difficult to capture the transformation behavior inside the materials. There are some opinions that the deformation characteristics are not mainly depending on the martensitic transformation due to heat generation by plastic work. Here, the impact compressive deformation behavior of TRIP steel is experimentally studied by Split Hopkinson Pressure Bar (SHPB) method at room temperature. In order to catch SIMT behavior during impact deformation, volume resistivity is measured and a transient temperature is captured by using a quite thin thermocouple. Then, a finite element simulation with the constitutive model for TRIP steel is performed. The finite element equation can be derived from the rate form of principle of virtual work based on the implicit time integration scheme. Finally, the results between the computation and experiment are compared to confirm the validity of computational model.

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