journal article·2013-02

Texture development in Fe–3.0 mass% Si during high-temperature deformation: Examination of the preferential dynamic grain growth mechanism

Yusuke Onuki, Ryosuke Hongo, Kazuto Okayasu, Hiroshi Fukutomi

Acta Materialia· Volume 61· Issue 4
Publisher page

Abstract

Abstract A new mechanism of texture evolution, named “preferential dynamic grain growth mechanism”, is examined experimentally by high-temperature plane-strain compression deformation of Fe–3.0 mass% Si alloy. The proposed mechanism is based on preferential growth of the orientations having low Taylor factors and stability against deformation. According to the mechanism, the growing orientation is expected to be {0 0 1}〈1 1 0〉 in the case of plane-strain compression deformation. In fact, the textures formed by deformations up to the desired strain of −1.0 have high orientation densities around {0 0 1}〈1 1 0〉 in accordance with the proposed mechanism. With decreasing strain rate, the volume fraction of {0 0 1}〈1 1 0〉 increases with the increase in the average intercept length of crystal grains along the transverse direction at both 1093 K and 1173 K, which implies the occurrence of dynamic grain growth during the deformation. The volume fraction of {0 0 1}〈1 1 0〉 is higher at 1173 K than at 1093 K for the same strain rate. Electron backscatter diffraction measurements show that the density of small-angle grain boundaries decreases with increasing temperature and decreasing strain rate. The lower density of small-angle grain boundaries implies that distribution of dislocations in grains approaching homogeneity results in the enhancement of preferential dynamic grain growth at higher temperatures and lower strain rates. This suggests that high-temperature deformation might be applied as a new method for controlling texture.
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Research context

OpenAlex topics: Magnetic Properties and Applications · Microstructure and Mechanical Properties of Steels · Metallurgy and Material Forming

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

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