A micromechanical study on drawability of low carbon steel sheets: factorial analysis : a useful post-process tool

Abstract

The processing technology of low carbon steels for deep drawing applications has been focused on developing processes that resulted in increased intensity in the crystallographic orient ations of texture close to the gamma fiber {111}. This trend had its origins in research based on numerical simulations of crystal plasticity. Such works assessed the individual influence of each texture component on the typical indicators of drawability: Rm (normal anisotropy) and ? R (planar anisotropy). In order to evaluate the influence of crystallographic orientati on distribution on Rm and ? R , simulations for uniaxial tensile tests in 32 different virtual materials were perfo rmed by means of a self-consistent crystal plasticity model followed by a post- process based on factorial analysis. The latter was used to estimate the magnitude of the coupled effects caused by the presence of the considered texture components. In agreement with previous res earch, it was verified that a high intensity on the gamma fiber -in particular around the {111}<110> texture component- is crucial for improving the quality of a deep drawing steel. Otherw ise, the orientations located in the alpha fiber {uvw}<110> play the opposite role. For both, Rm and ? R , the computed two factor-interactions were almost equal than the assumed standard deviation. This quantif ication allows validating t hose considerations made on the drawability of the material where such effects were neglected. Furthe rmore, some combinations of ideal components of texture that provide the best results were identified.