A multiaxial probabilistic fatigue life prediction method for nickel‐based single crystal turbine blade considering mean stress correction

A multiaxial probabilistic fatigue life prediction method for nickel‐based single crystal turbine blade considering mean stress correction
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DOI:
10.1002/qre.3297
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发表时间:
2023-02
影响因子:
2.3
通讯作者:
Xiaoling Zhang;Hongzhong Huang;Xuelian Zhang;Ke Zhang
Xiaoling Zhang;Hongzhong Huang;Xuelian Zhang;Ke Zhang
中科院分区:
工程技术3区
文献类型:
--
作者:
Xiaoling Zhang;Hongzhong Huang;Xuelian Zhang;Ke Zhang

文献摘要

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燃气涡轮机叶片通常在高温、极压、高速工况下工作,其失效机理复杂,疲劳寿命评估困难。此外,由于制造误差、工作载荷和材料性能的随机性,低周疲劳(LCF)寿命通常呈现不可避免的随机行为。因此,准确、有效地预测燃气涡轮机叶片的疲劳寿命对叶片的设计至关重要。因此,本文分析了平均应力、各向异性和不确定性对镍基单晶涡轮机叶片低循环疲劳寿命的影响。采用修正的Hill屈服准则研究了镍基单晶高温合金(NSCS)在多轴应力状态下的各向异性损伤特性。同时,在步行者平均应力修正项中引入了温度和晶体取向的影响。基于基于能量准则的疲劳寿命估算方法,建立了多轴低周疲劳寿命预测模型。此外,还分析和量化了来自转速、材料特性和温度的多源不确定性。预测寿命与实测寿命的对比表明,该方法具有较好的精度和鲁棒性,可为NSCS涡轮机叶片的可靠性设计提供参考。
Gas turbine blades normally operate under high‐temperatures, extreme pressure, and high‐speed conditions, which leads to complex failure mechanisms and difficulties in fatigue life assessment. Moreover, due to the randomness of manufacturing errors, working loads, and material properties, the low cycle fatigue (LCF) life normally presents unavoidable stochastic behavior. Therefore, accurate and efficient fatigue life prediction is critical for the design of gas turbine blades. Accordingly, this paper analyzes the effects of mean stress, anisotropy, and uncertainties on the LCF life of nickel‐based single‐crystal turbine blades. The modified Hill yield criterion is employed to deal with the anisotropic damage characteristics of nickel‐based single‐crystal superalloy (NSCS) under a multiaxial stress state. Meanwhile, the effects of the temperature and crystal orientation are introduced into the walker mean stress correction term. A multiaxial LCF life prediction model is developed based on the energy criterion‐based fatigue life estimation method. Moreover, multi‐source uncertainties originating from rotation speeds, material properties, and temperature are analyzed and quantified. Comparison between the predicted and tested life indicates that the proposed method produces good accuracy and robustness, which can provide a reference for the reliability design of NSCS turbine blades.