Abstract
The interest in accurate prediction of failure of sheet metals in the automotive industry has increased significantly over the last two decades. This paper aims to evaluate two failure prediction approaches implemented in the commercial Finite Element code AutoFormplus R7.04; (i) the standard Forming Limit Diagram (FLD), and (ii) the Non-linear Forming Limit Diagram. The evaluation will be testing the two approaches accuracy on predicting failure of both an AA6016 aluminium alloy and a CR440Y780T-DP dual-phase steel alloy specimen exposed to combined tension and bending. Based on the findings of this study, it is concluded that neither of the evaluated approaches is able to accurately predict failure in both cases presented.
Highlights
In the automotive industry today, a lot of effort is put into the failure prediction of sheet metal parts to ensure stamping process feasibility
This paper aims to evaluate two failure prediction approaches implemented in the commercial Finite Element code AutoFormplus R7.04; (i) the standard Forming Limit Diagram (FLD), and (ii) the Non-linear Forming Limit Diagram
The research presented in this paper aims to evaluate two failure prediction methods implemented in the commercial Finite Element code AutoFormplus R7.04: (i) The standard Forming Limit Diagram (FLD)
Summary
In the automotive industry today, a lot of effort is put into the failure prediction of sheet metal parts to ensure stamping process feasibility. Even though a large variety of failure prediction approaches have been proposed during the last decade, none of these have been able to replace the Forming Limit Diagram (FLD) as the industry standard within the sheet metal forming community. The research presented in this paper aims to evaluate two failure prediction methods implemented in the commercial Finite Element code AutoFormplus R7.04:. (i) The standard Forming Limit Diagram (FLD). The evaluation of said methods will be based on numerical models calibrated towards experiments recorded with Digital Image Correlation (DIC) to obtain the history of the forming operation
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More From: IOP Conference Series: Materials Science and Engineering
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