In-situ TEM Investigation of Void Swelling in Nickel under Irradiation with Analysis Aided by Computer Vision
In-situ TEM Investigation of Void Swelling in Nickel under Irradiation with Analysis Aided by Computer Vision
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DOI：
10.1016/j.actamat.2023.119013
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发表时间：
2023-05
期刊：
影响因子：
9.4
通讯作者：
Wei-Ying Chen;Z. Mei;Logan Ward;Brandon Monsen;J. Wen;N. Zaluzec;A. Yacout;Meimei Li
中科院分区：
文献类型：
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作者：
Wei-Ying Chen;Z. Mei;Logan Ward;Brandon Monsen;J. Wen;N. Zaluzec;A. Yacout;Meimei Li
了解辐照空洞在材料中的稳定性对于工程材料在辐照下的膨胀行为具有重要意义。原位透射电子显微镜提供了一种适合研究辐照空洞演化的空间和时间分辨率。然而，现场视频往往太大，无法手动分析，导致宝贵的数据得不到充分利用。我们开发了一个基于深度学习的语义分割模型，用于一致地研究在525°C到650°C不同温度下，1 MeV氪离子辐照下镍中空洞的生长和收缩。在箔层厚度接近100 nm，离子通量为6.3兆×1011ion⋅cm−2⋅S−1的情况下，预先存在的空位在600°C到0.5dpa的辐照下预先产生的空穴，在低温下收缩，在辐照下在高温下生长，其中转变发生在575°C(∼0.5TM)。观察到的稳定性转变为研究辐照下孔洞的收缩机制提供了新的思路。此外，对预先在600℃到3dpa辐照的镍进行了连续的650℃到720℃的退火实验，揭示了孔洞收缩速率随温度和空洞尺寸的变化。论证了计算机视觉和现场透射电子显微镜相结合获得全面的空穴演化的优势。
Understanding the stability of irradiation-induced voids in materials is important for engineering material's swelling behavior under irradiation.In-situTEM offers a spatial and temporal resolution that is suitable for investigating the evolution of voids under irradiation. However, thein-situvideos have often been too large to be analyzed manually, leaving the valuable data underutilized. We developed a deep learning-based semantic segmentation model to consistently study the growth and shrinkage of voids in nickel under 1 MeV krypton ion irradiation at various temperatures from 525 °C to 650 °C. With a foil thickness near 100 nm and ion flux of 6.3 × 1011ions⋅ cm−2⋅s−1, the pre-existing voids, which were created beforehand by irradiation at 600 °C to 0.5 dpa, shrank at low temperatures and grew at high temperatures under irradiation, where the transition occurred at 575 °C (∼0.5 TM). The observed stability transition provided new insight for the shrinkage mechanism of voids under irradiation. In addition, an annealing experiment on nickel, previously irradiated at 600 °C to 3 dpa, was performed sequentially at 650 °C to 720 °C to reveal the shrinkage rate of void as a function of temperature and void size. The advantage of combining computer vision andin-situTEM to obtain comprehensive void evolution was demonstrated.