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Long-Term Creep-Rupture Behavior of Alloy Inconel 740/740H
Metallurgical and Materials Transactions A ( IF 2.2 ) Pub Date : 2021-04-08 , DOI: 10.1007/s11661-021-06253-1
M. Render , M. L. Santella , X. Chen , P. F. Tortorelli , V. Cedro

To explore potential application of Ni-based alloys for power generation at the higher temperatures and pressures needed to achieve high thermal to electrical-energy conversion efficiency, an extensive creep-rupture dataset covering up to 875 °C and almost 70,000 hours for Inconel 740/740H was analyzed using Larson–Miller parameter and Wilshire approaches. The results were used to assess the relative effectiveness of the two analytical methods, both in describing the experimental data and, because of the breadth of the dataset, using analyses of its shorter-time data to make creep lifetime predictions for much more extended times, which were then directly compared to the measured rupture times. The respective methods were also used to predict creep-limited lifetimes relevant to power production (that is, 100,000 hours or greater). Despite the complexity of the precipitation-strengthened Inconel 740/740H alloy and the generalized parametric approach of these methodologies, the predictions based on such were reasonably accurate when the entire dataset was analyzed. However, when the analysis was confined to only data for conditions yielding creep-rupture times < 5000 hours (about 65 pct of the entire dataset), the Wilshire correlation yielded better prediction for longer time lifetimes due to the inherent instability of the specific Larson–Miller formalism used in this analysis when extrapolated significantly outside its analysis range.



中文翻译:

Inconel 740 / 740H合金的长期蠕变断裂行为

为了探索镍基合金在更高的温度和压力下发电所需的潜在应用,以实现高的热能至电能转换效率,Inconel 740 /使用Larson-Miller参数和Wilshire方法分析了740H。结果被用于评估这两种分析方法的相对有效性,既描述了实验数据,又由于数据集的广度,使用其较短时间的数据分析来预测更长的蠕变寿命,然后直接将其与测得的破裂时间进行比较。相应的方法还用于预测与发电相关的蠕变极限寿命(即100,000小时或更长)。尽管采用沉淀强化的Inconel 740 / 740H合金非常复杂,而且采用了这些方法的广义参数化方法,但在分析整个数据集时,基于这种方法的预测还是相当准确的。但是,当分析仅限于产生蠕变断裂时间<5000小时的条件的数据(整个数据集的约65 pct)时,由于特定的拉尔森固有的不稳定性,Wilshire相关性可以更好地预测更长的使用寿命。当推断在分析范围之外时,此分析中使用的Miller形式主义。

更新日期:2021-05-03
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