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Numerical Study of Deep Drawability Using Johnson-Cook Model

Authors: Bansal, Srijan; Gautam, Vijay; Prakash, Ved;

Numerical Study of Deep Drawability Using Johnson-Cook Model

Abstract

In the Deep-drawing process, a blank is drawn into a hollow element taking the shape of a die by the operation of a punch. This process has numerous advantages and applications in the automobile, aerospace, kitchenware, and packaging industries. The primary purpose of this study is to design and simulate the deep drawing process in LS-Dyna PrePost(R) V4.6.17 using Johnson-Cook flow stress as a material model. An appropriate and judicious characterization of material that accounts for the combined effect of strain, strain rate, and as well as temperature in the deep drawing operation is essential to predict the behavior of the material as close to the real scenario. Uniaxial tensile tests are performed on the UTM machine to obtain stress-strain readings at four different strain rates and also at four different temperatures in the environmental chamber of UTM. These readings were utilized to find material constants such as A, B, C, n, and M which are used in the MAT-015 material card of LS-Dyna. To conclude, the limiting draw ratio of the model is calculated which came out to be around 1.971.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
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