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作 者:叶育明 文阳阳 吴福仙 黄伟光[1,3] 高闯[3] YE Yuming;WEN Yangyang;WU Fuxian;HUANG Weiguang;GAO Chuang(School of Physical Science and Technology,Shanghai Tech University,Shanghai 201210,China;Technical Centre,Helan Turbine Company Limited.,Shanghai 201815,China;Shanghai Advanced Research Institute,Chinese Academy of Sciences,Shanghai 201210,China)
机构地区:[1]上海科技大学物质科学与技术学院,上海201210 [2]上海和兰透平动力技术有限公司技术中心,上海201815 [3]中国科学院上海高等研究院,上海201210
出 处:《航空动力学报》2025年第1期381-390,共10页Journal of Aerospace Power
基 金:中国科学院青年培育基金(E224821231)。
摘 要:针对M-C(Manson-Coffin)和SWT(Smith-Watson-Topper)经典模型仅适用于固定温度点而无法预测变温度场下低周疲劳寿命这一不足,综合考虑总应变、塑性应变、最大应力等参量,提出一种考虑变温度场影响的高精度、强泛化性的改进寿命预测模型。从某镍基高温合金室温到923.15 K低周疲劳试验数据点的寿命预测结果可知,该模型有94.74%位于±1.5倍分散带内,预测精度显著优于M-C模型(82.89%)和SWT模型(86.84%)。同时改进模型具有广泛的适用性,既能准确预测非试验数据点的低周疲劳寿命,也适用于其他热端部件材料。此外,该模型可准确预测热端部件在变温度场影响下的全场寿命,对某型燃气轮机向心涡轮预测的全场寿命分布合理,趋势符合预期。Considering the deficiency that the classic models of M-C(Manson-Coffin)and SWT(Smith-Watson-Topper)can only predict the low cycle fatigue life at a fixed temperature,a high-accuracy,strong-generalization modified model for predicting life at various temperatures based on the total strain,plastic strain,maximum stress,and other parameters was proposed.The life prediction results for the nickel-based alloy from room temperature to 923.15 K low cycle fatigue test points showed that 94.74%of the prediction results of the proposed model were distributed in the±1.5 times scatter band,which were more accurate than the M-C model(82.89%)and the SWT model(86.84%).Simultaneously the modified model was widely generalizable,which was not only capable of accurately predicting the low cycle fatigue life at non-test data points,but also applicable to other hot component materials.Additionally,the proposed model can accurately predict the full-field life of hot components at various temperatures.Fullfield life prediction experiments on a gas turbine radial turbine showed that the prediction results were distributed reasonably just like expected trends.
关 键 词:M-C(Manson-Coffin)模型 SWT(Smith-Watson-Topper)模型 向心涡轮 低周疲劳 寿命预测
分 类 号:V231.95[航空宇航科学与技术—航空宇航推进理论与工程]
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