宽场NV色心磁成像用于无损材料检测的研究
Investigation of Widefield NV-Center Magnetic Imaging for Non-Destructive Materials Testing
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中文总结 AI 辅助
本研究开发了基于金刚石氮空位色心的宽场磁成像系统，用于无损检测，实现了高灵敏度和高分辨率成像，并检测到电工钢疲劳损伤的早期标志。
中文摘要 AI 辅助
由于小型化的不断推进，材料疲劳在微观尺度上的重要性预计将日益凸显。然而，大多数无损检测技术是针对宏观尺度优化的。因此，需要探索适用于小型化样品的新方法。对材料磁杂散场的高空间分辨率成像，能够通过磁性、应变和缺陷之间的局部相互作用，灵敏地检测微观结构变化。迄今为止，这种方法很少用于材料检测，因为高分辨率磁传感传统上具有挑战性。新型量子传感技术有望填补这一空白。其中最著名的量子传感器之一——金刚石中的氮空位色心，在本工作范围内被研究用于无损检测应用。开发了一套基于宽场传感方法的实验系统，能够在几秒到几分钟内对面积高达1×1 $mm^2$的区域进行磁杂散场分布成像。实现了低于10 $μ$T/$\u221a$Hz的磁灵敏度以及1-2 $μ$m的空间分辨率。该技术具有高机械稳定性，这对无损检测应用至关重要。与磁光克尔效应测量的比较表明，磁场图与材料表面磁畴强相关，同时包含来自样品更深层的额外信息。在循环加载后，电工钢样品中检测到磁杂散场分布的特征性变化。从分裂梯度分布中推断出早期疲劳损伤的潜在标志，而二维傅里叶变换分析提供了额外的见解。
英文摘要
Due to progressing miniaturization, material fatigue is expected to gain importance on microscopic scales. Nevertheless, most non-destructive testing techniques are optimized for macroscopic scales. Therefore, new approaches applicable to miniaturized samples need to be explored. High spatial resolution imaging of a material's magnetic stray field enables sensitive detection of microstructural changes due to the local interplay of magnetic properties, strain, and defects. Up to now, this approach has rarely been used for materials testing since high-resolution magnetic sensing is traditionally challenging. Novel quantum sensing techniques offer the potential to close this gap. One of the most prominent quantum sensors, the nitrogen vacancy center in diamond, is investigated for non-destructive testing applications within the scope of this work. An experimental system based on a widefield sensing approach was developed to image magnetic stray field distributions within seconds to minutes over areas up to 1 x 1 $mm^2$. Magnetic sensitivities below 10 $μ$T/$\sqrt{\text{Hz}}$ and a spatial resolution of 1-2 $μ$m were achieved. The technique offers high mechanical stability, which is crucial for non-destructive testing applications. Comparison with magneto-optical Kerr effect measurements showed that the magnetic field maps are strongly correlated with the material's surface domains while containing additional information from deeper inside the sample. Characteristic changes in the magnetic stray field distribution were detected in an electrical steel sample after cyclic loading. A potential marker for early fatigue damage was deduced from the splitting gradient distribution, while 2D Fourier transform analysis provided additional insight.
发表机构
- Fraunhofer Institute of Applied Solid State Physics IAF（弗劳恩霍夫应用固体物理研究所）
- Fraunhofer Institute for Mechanics of Materials IWM（弗劳恩霍夫材料力学研究所）
- Leibniz Institute for Solid State and Materials Research Dresden (IFW Dresden)（德累斯顿固态与材料研究莱布尼茨研究所）
- TECNALIA, Basque Research and Technology Alliance (BRTA)（Tecnalia巴斯克研究与技术联盟）
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