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    方燕玲, 谢成, 吴圣川, 张杰, 杨光, 齐世文, 李飞. 基于缺陷三维成像的电子束熔丝增材制造钛合金疲劳寿命模型[J]. 机械工程材料, 2021, 45(4): 72-80. DOI: 10.11973/jxgccl202104014
    引用本文: 方燕玲, 谢成, 吴圣川, 张杰, 杨光, 齐世文, 李飞. 基于缺陷三维成像的电子束熔丝增材制造钛合金疲劳寿命模型[J]. 机械工程材料, 2021, 45(4): 72-80. DOI: 10.11973/jxgccl202104014
    FANG Yanling, XIE Cheng, WU Shengchuan, ZHANG Jie, YANG Guang, QI Shiwen, LI Fei. Fatigue Life Model of Electron Beam Fusion Additive ManufacturedTitanium Alloy Using 3D Defect Tomography[J]. Materials and Mechanical Engineering, 2021, 45(4): 72-80. DOI: 10.11973/jxgccl202104014
    Citation: FANG Yanling, XIE Cheng, WU Shengchuan, ZHANG Jie, YANG Guang, QI Shiwen, LI Fei. Fatigue Life Model of Electron Beam Fusion Additive ManufacturedTitanium Alloy Using 3D Defect Tomography[J]. Materials and Mechanical Engineering, 2021, 45(4): 72-80. DOI: 10.11973/jxgccl202104014

    基于缺陷三维成像的电子束熔丝增材制造钛合金疲劳寿命模型

    Fatigue Life Model of Electron Beam Fusion Additive ManufacturedTitanium Alloy Using 3D Defect Tomography

    • 摘要: 应用高分辨率同步辐射三维X射线成像技术获取电子束熔丝增材制造Ti-6Al-4V合金的特征参数,结合高周疲劳试验分析缺陷对合金疲劳性能的影响;考虑缺陷特征参数对已有Z参数疲劳寿命模型进行修正,提出了X参数疲劳寿命模型。结果表明:所制造Ti-6Al-4V合金存在气孔及未熔合缺陷;不同应力水平下合金的疲劳寿命均存在较大的离散性,50%存活率下合金的疲劳极限为679 MPa,多数疲劳裂纹萌生于气孔、未熔合缺陷处;由X参数疲劳寿命模型得到的X参数-疲劳寿命曲线的线性拟合相关系数为0.878 5,比由Z参数疲劳寿命模型得到的提高了近20%,疲劳寿命离散性显著降低,模型的预测精度显著提高。

       

      Abstract: The charcteristic parameters of defects in electron beam fusion additive manufactured Ti-6Al-4V alloy were obtained by high-resolution synchrotron radiation 3D X-ray tomography technique. Combining with high cycle fatigue tests, the influence of defects on fatigue properties of the alloy was analyzed. The Z-parameter fatigue life model was modified by considering defect characteristic parameters, and an X-parameter fatigue life model was proposed. The results show that there were porosity and incomplete fusion defects in the manufactured Ti-6Al-4V alloy. The fatigue life of the alloy had significant dispersion in different stress levels and the fatigue limit with 50% survival rate was 679 MPa. Most of the fatigue cracks originated at the porosity and incomplete fusion defects. The linear fitting correlation coefficient of X-parameter-fatigue life curve by X-parameter fatigue life model was 0.878 5, and was improved by nearly 20% compared with the Z-parameter fatigue life model, the dispersion of fatigue life significantly decreased, and the prediction accuracy of the model was significantly improved.

       

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