高铬马氏体钢蠕变强度退化的分析

M. Tamura, F. Abe
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引用次数: 4

摘要

为研究降低高铬马氏体钢长期断裂强度的z相的形成过程,对T91、T92和P92等级的蠕变曲线以及9Cr-1W和9Cr-4W试验钢进行了温度、应力和时间参数的指数规律分析。得到了活化能Q、活化体积V和Larson-Miller常数C随蠕变应变的变化规律。在蠕变开始时,亚晶界强化是由于位错从亚晶中扫出,随后是由于M23C6的重排和Laves相的析出。在Q达到峰值后,非均质恢复和随后的非均质变形开始于瞬态蠕变的早期阶段,在几个最弱的边界附近,由于析出物变粗。由于加速了z相的形成,这种活性引发了意想不到的强度下降。M23C6和Laves相的稳定化对减缓高强马氏体钢长期断裂强度的下降具有重要意义。Laves相的稳定对于Cr-Mo体系尤为重要,因为与Fe2W相比,Fe2Mo在~600°C时容易粗化。降低硬度和Si含量也可以防止由Laves相引起的过度硬化,这也减轻了降解。蠕变曲线的在线监测和QVC分析使得在相对较短的时间内检测到目标条件下长期退化的迹象成为可能。
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Analysis of the Degradation in the Creep Strength of High-Cr Martensitic Steels
To investigate the formation process of the Z-phase, which lowers the long-term rupture strength of high-Cr martensitic steel, the creep curves of Grades T91, T92, and P92 were analyzed along with the experimental steels of 9Cr-1W and 9Cr-4W by applying an exponential law to the temperature, stress, and time parameters. The activation energy (Q ), activation volume (V ), and Larson-Miller constant (C ) were obtained as functions of creep strain. At the beginning of creep, sub-grain boundary strengthening occurs due to dislocations that are swept out of the sub-grains, which is followed by strengthening due to the rearrangement of M23C6 and the precipitation of the Laves phase. After Q  reaches a peak, heterogeneous recovery and subsequent heterogeneous deformation begin at an early stage of transient creep in the vicinity of several of the weakest boundaries due to coarsening of the precipitates. This activity triggers an unexpected degradation in strength due to the accelerated formation of the Z-phase. Stabilization of M23C6 and the Laves phase is important for mitigating the degradation of the long-term rupture strength of high-strength martensitic steel. The stabilization of the Laves phase is especially important for the Cr-Mo systems because Fe2Mo is easily coarsened at ~600 °C as compared to Fe2W. Lowering the hardness and Si content also prevents excess hardening due to the Laves phase, which also mitigates the degradation. The online monitoring of creep curves and the QVC  analysis render it possible to detect signs of long-term degradation under targeted conditions within a relatively short period.
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