This work introduces a novel Augmented Reality (AR) approach to visualize material data alongside real objects in order to facilitate detailed material analyses based on spatial non-destructive testing (NDT) data as generated in X-ray computed tomography (XCT) imaging. For this purpose, we introduce a framework that leverages the potential of AR devices, visualization and interaction techniques to seamlessly explore complex primary and secondary XCT data matched with real-world objects. The overall goal of the proposed analysis scheme is to enable researchers and analysts to inspect material properties and structures onsite and in-place. Coupling immersive visualization techniques with real physical objects allows for highly intuitive workflows in material analysis and inspection, which enables the identification of anomalies and accelerates informed decision making. As a result, this framework generates an immersive experience, which provides a more engaging and more natural analysis of material data. A case study on fiber-reinforced polymer datasets was used to validate the AR framework and its new workflow. Initial results revealed positive feedback from experts, in particular regarding improved understanding of spatial data and a more natural interaction with material samples, which may have significant potential when combined with conventional analysis systems.

翻译：本文提出了一种新颖的增强现实方法，通过将材料数据与真实物体同步可视化，以促进基于X射线计算机断层扫描成像生成的空间无损检测数据的精细化材料分析。为此，我们构建了一个技术框架，充分利用增强现实设备、可视化与交互技术的潜力，实现复杂初级/次级XCT数据与真实物体的无缝融合探索。该分析方案的核心目标是使研究人员和分析师能够在现场原位检测材料特性与结构。通过将沉浸式可视化技术与实体物理对象相结合，可构建高度直觉化的材料分析与检测工作流，从而有效识别异常并加速决策进程。该框架最终形成的沉浸式体验，为材料数据分析提供了更具参与度和自然性的交互方式。基于纤维增强聚合物数据集的案例研究验证了该AR框架及其新型工作流的有效性。初步结果显示，专家反馈积极——尤其在提升空间数据认知能力与材料样本自然交互方面表现突出，这预示着该技术与传统分析系统结合时具有显著的应用潜力。