Abstract High cycle fatigue (HCF) at elevated temperatures is a very significant issue for superalloys commonly used in the field of gas turbine engines. However, nearly all the existing HCF S-N regression models are established irrespective of the temperature factor, which leads to the inconvenience of their application in multi-temperature HCF issues of superalloys. This paper proposes a HCF characterization method based on a novel regression model for the testing data at multiple temperatures. With the model, the HCF failure cycles can be obtained by a continuous function of the fatigue stress levels and temperatures. In order to verify the present method, a series of complete HCF tests for a nickel-based superalloy GH4169 within its typical service temperature range are conducted and numerous S-N data at various temperatures are obtained. The regression calculation and some prediction based on the present model are then carried out. It has been demonstrated that the present temperature-dependent regression method is well suitable for characterizing the HCF properties at elevated temperatures range. Based on the present method, the accuracy of HCF strength evaluation is really good. Especially, lifetime prediction by the present model is satisfied since that nearly all the data points comparing the prediction with the testing data fall within the scatter band with the error factor of three.

中文翻译：

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基于新型温度相关回归方法的镍基高温合金高周疲劳表征

摘要 高温下的高周疲劳（HCF）是燃气涡轮发动机领域常用的高温合金的一个非常重要的问题。然而，几乎所有现有的 HCF SN 回归模型都是在不考虑温度因素的情况下建立的，这导致它们在高温合金的多温度 HCF 问题中的应用存在不便。本文提出了一种基于新回归模型的 HCF 表征方法，用于多个温度下的测试数据。使用该模型，可以通过疲劳应力水平和温度的连续函数获得 HCF 失效循环。为了验证本方法，对镍基高温合金 GH4169 在其典型使用温度范围内进行了一系列完整的 HCF 测试，并获得了各种温度下的大量 SN 数据。然后进行回归计算和一些基于当前模型的预测。已经证明，本发明的温度相关回归方法非常适合表征高温范围内的 HCF 特性。基于目前的方法，HCF强度评估的准确性非常好。特别是，满足本模型的寿命预测，因为几乎所有将预测与测试数据进行比较的数据点都落在误差因子为 3 的散射带内。HCF强度评估的准确性确实不错。特别是，满足本模型的寿命预测，因为几乎所有将预测与测试数据进行比较的数据点都落在误差因子为 3 的散射带内。HCF强度评估的准确性确实不错。特别是，满足本模型的寿命预测，因为几乎所有将预测与测试数据进行比较的数据点都落在误差因子为 3 的散射带内。