Simultaneous Prediction of Bendability and Deep Drawability Based on Orientation Distribution Function for Polycrystalline Cubic Metal Sheets

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Abstract
Sheet metal formability is generally affected by crystallographic texture. In particular, bendability and deep drawability of metals and alloys are closely related to the recrystallization texture of the rolled sheets. It is necessary to quantitatively predict them from a viewpoint of texture control. This study proposes a method for simultaneous prediction of both the bendability and the deep drawability on the basis of the average Taylor factor as a polycrystal calculated by using an orientation distribution function. The normalized Taylor factor (Mn-value) and the r-value are used as measures of bendability and deep-drawability, respectively. The predicted results from ideal orientations demonstrated that {001}<uv0> orientation had excellent bendability and poor deep drawability, whereas {111}<uvw> orientation had poor bendability and excellent deep drawability. In addition, the predicted results for practical FCC and BCC metals indicated that cube texture in FCC metals was unfavorable for deep drawing and the γ-fiber texture of //ND in BCC metals was unfavorable for bending.

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