首页> 外文期刊>Applied Mathematical Modelling >Incorporating specific batch characteristics such as chemistry, heat treatment, hardness and grain size into the Wilshire equations for safe life prediction in high temperature applications: An application to 12Cr stainless steel bars for turbine blades
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Incorporating specific batch characteristics such as chemistry, heat treatment, hardness and grain size into the Wilshire equations for safe life prediction in high temperature applications: An application to 12Cr stainless steel bars for turbine blades

机译:将特定的批处理特性(例如化学,热处理,硬度和晶粒尺寸)纳入Wilshire方程中,以预测高温应用中的安全寿命:在用于涡轮叶片的12Cr不锈钢棒上的应用

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摘要

A modified version of the Wilshire equation was proposed to incorporate specific batch characteristics such as chemistry, heat treatment, hardness and grain size into the analysis of times to failure at high temperatures. A new two stage estimation procedure was proposed for obtaining values for the parameters of this modified Wilshire equation. This procedure overcomes the degrees of freedom obstacle present in extending the Wilshire equation is this direction: namely the small number of batches available in many creep data sets with which to investigate a large number of variables defining specific batch characteristics. Just a few batch characteristics were shown to be good predictors of the unknown parameters of the Wilshire equations - namely the P, Mn and Cu content of the batch, the batches hardness and some types of heat treatment. Incorporating these characteristics into the Wilshire equation produced safe life predictions which were more meaningful to specific batches of a 12Cr stainless steel alloy in that the median predictions were more representative of a particular batch data and the 0.5-99.5 percentile bands were much narrower and so the lower bound provided a more economically feasible safe life. The modification should allow for the more reliable safe life determination of specific batches actually being used by, for example, power generating companies.
机译:提出了威尔希尔方程式的改进版本,以将特定的批处理特征(例如化学,热处理,硬度和晶粒尺寸)纳入高温失效时间的分析中。提出了一种新的两阶段估计程序来获得该修正的威尔希尔方程的参数值。此过程克服了在扩展Wilshire方程时出现的自由度障碍,即朝这个方向发展:即在许多蠕变数据集中可用的少量批处理,可用来研究定义特定批处理特征的大量变量。仅显示了几个批处理特征可以很好地预测Wilshire方程的未知参数-即批处理中的P,Mn和Cu含量,批处理硬度和某些热处理类型。将这些特征整合到Wilshire方程中可得出安全寿命预测,该预测对特定批次的12Cr不锈钢合金更有意义,因为中位数预测更能代表特定的批次数据,而0.5-99.5的百分位数范围更窄,因此下限提供了更经济可行的安全生活。该修改应允许更可靠地确定例如发电公司实际使用的特定批次的安全寿命。

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