加工硬化网格长度理论中的动态效应

D. Kuhlmann-Wilsdorf
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引用次数: 26

摘要

根据加工硬化的网格长度理论,表现出位错单元结构的材料的低温应变率效应是由于在直径为l的平均(通常是大致等轴的)单元中同时运行X个超临界弯曲链接,则每个单元的相应移动位错长度为LX。定义g = Ll ā,以l ā为细胞壁的平均连接长度,根据最多50%的细胞壁位错可能同时失稳,因此最多10%的可能的位错源可能同时被激活,因为每个位错源除了它自己之外还会使四个相邻的连接失稳,预计位错细胞的破坏为Xmax≈0.3 g2。当X = Xmax时,胞内的可动位错密度约为胞壁位错密度的30%,但只有当胞内的位错密度约为胞壁位错密度的16倍时,才会发生显著的相互作用,从而导致额外的硬化。因此,移动位错对永久应变硬化的作用微乎其微。然而,由于平均源长度随X的增加而减小,流动应力和加工硬化系数会出现瞬态增加,通常为应变速率每增加10倍增加几个百分点。移动位错留在细胞内部降低弹性模量,可以引起非弹性蠕变以及恢复效应。数值估计与观测结果很吻合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dynamic effects in the mesh length theory of workhardening

According to the mesh length theory of workhardening, low-temperature strain rate effects in materials exhibiting a dislocation cell structure are due to the simultaneous operation of a number X of super-critically bowing links in the average, typically roughly equiaxed, cell of diameter L. The corresponding length of mobile dislocations per cell is then LX. Defining g = Ll̄, with l̄ the average link length in the cell walls, dislocation cell breakdown is expected for Xmax ≈ 0.3 g2, on the criterion that at the most 50% of all cell wall dislocations may be simultaneously destabilized and therefore at most 10% of all possible dislocation sources may be activated simultaneously since each destabilizes four adjoining links besides itself. When X = Xmax, the mobile dislocation density within the cells is about 30% of that in the walls, but significant interactions and thus extra hardening is expected only if the dislocation density in the cell interiors is about sixteen times the cell wall dislocation density. Therefore the mobile dislocations can add little, if anything, to the permanent strain hardening. However, on account of the decrease of average source length with increasing X a transient increase of flow stress and workhardening coefficient arises which typically amounts to a few percent per ten-fold increase of strain rate. Mobile dislocations remaining in the cell interiors decrease the elastic modulus and can give rise to anelastic creep as well as to recovery effects. Numerical estimates are in good agreement with observations.

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