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Title of article :
Experimental and numerical failure criterion for formability prediction in sheet metal forming
Author/Authors :
Uthaisangsuk، نويسنده , , V. and Prahl، نويسنده , , U. and Münstermann، نويسنده , , S. and Bleck، نويسنده , , W.، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2008
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Abstract :
As failure criterion for sheet metal forming, conventional forming limit diagrams (FLD) are often used. The FLD is a strain based criterion, which evaluates the principal deformations at failure. Different investigations show that the FLD is dependent on the forming history and strain path. However, this is not the case for forming limit stress diagrams (FLSD). For this failure criterion, the principal stresses at failure are determined by FEM simulation of the Nakazima-test. Both, the FLD and the FLSD experimental investigations provide the basis for the sheet metal failure criterion. In contrast, continuum damage mechanics describe the damage evolution in the microstructure with physical equations, so that crack initiation due to mechanical loading can be predicted. By using the Gurson–Tvergaard–Needleman (GTN) damage mechanical model, a failure criterion based on void evolution was examined in this work. The parameter identification for the damage model will be discussed. The investigations demonstrate that FLD is inapplicable for complex forming processes with strain path changes. The FLSD is better suitable than the FLD for multi step forming processes. Micro-mechanical damage modelling with the GTN model also shows acceptable formability predictions, in spite of its generally insufficient consideration of the effective deviatoric stress fractions. The quality of failure prediction using continuum damage mechanics models is able to be increased by applying a more suitable damage models and a modern overall-scale modelling approach.
Keywords :
formability , continuum damage mechanics , GTN model , sheet metal forming , Forming limit diagram , Forming limit stress diagram , Failure criterion
Journal title :
Computational Materials Science
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