Effect of Dislocation Networks on Precipitate Morphology in Maraging Steels

K. Jacob, Abhinav Roy, M. Gururajan, Balila Nagamani Jaya, PhD
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引用次数: 1

Abstract

We introduce high dislocation densities in a maraging steel using High Pressure Torsion (HPT) processing, followed by ageing them. This gives rise to tensile behaviour substantially different from that of conventional maraging steels. Our Atom Probe Tomography (APT) studies on the steel, show that the morphologies of the Fe-Mo precipitates in such samples with a high density of networks of dislocations is disc-like. Finite element simulations of stress distributions and strain partitioning in such microstructures help explain the reduced macroscopic ductility in them. Using phase field modelling, we show that such morphologies are a result of faster diffusion paths provided by the dislocations. Thus, in addition to providing nucleation sites for precipitation, the faster diffusion paths influence the precipitate morphology and hence the macroscopic mechanical behaviour.
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位错网络对马氏体时效钢析出相形貌的影响
我们采用高压扭转(HPT)工艺在马氏体时效钢中引入高位错密度,然后进行时效处理。这就产生了与传统马氏体时效钢有很大不同的拉伸性能。我们对钢的原子探针断层扫描(APT)研究表明,在具有高密度位错网络的样品中,Fe-Mo析出物的形貌呈圆盘状。这种微观结构的应力分布和应变分配的有限元模拟有助于解释其宏观延性降低的原因。使用相场模型,我们表明这种形态是位错提供的更快扩散路径的结果。因此,除了为析出提供成核位置外,更快的扩散路径还会影响析出物的形态,从而影响宏观力学行为。
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