将红外测温与立体相关法结合,实现曲面全场温度与变形同步测量。
Projection-based coupling of infrared thermography and stereocorrelation-based digital image correlation

- 用针孔相机模型建立红外测温与三维点云的投影关系。
- 通过单张标定图校准投影矩阵,实现温度场在材料点上的精准映射。
- 适用于曲面测量,可无缝嵌入现有实验流程,适合动态热应力分析。
数字图像相关(DIC)和红外热成像广泛应用于实验固体力学。前者用于分析表面形变,后者量化表面温度场。然而,在非平面表面分析中,需复杂步骤将两者数据统一到同一拉格朗日坐标系。本研究提出一种基于外部投影的耦合方法,利用针孔相机模型,将红外热成像获取的二维温度数据映射到立体相关法获得的三维点坐标上。不同于多视角方法,该方法采用两个独立校准的工业级系统,并以单张标定物图像完成相机投影矩阵的标定。通过此投影,温度场可精确表示在材料点上。该方法特别适用于曲面,且易于集成至现有实验流程,因图像配准保持不变。此外,我们提出使用径向基函数作为时空全局插值方案,计算曲面上的面内温度梯度甚至温度变化率,从而提供丰富、全区域的数据集。
原文摘要 · Abstract (English)
Full-field measurement techniques such as digital image correlation and infrared thermography are prevalent in experimental solid mechanics. Digital image correlation is used to analyze surface deformation, while infrared thermography quantifies surface temperature fields. However, sophisticated procedures are necessary to express both datasets in the same Lagrangian frame, especially when analyzing non-flat surfaces. In this study, we propose an external projection-based coupling that uses the pinhole camera model to relate two-dimensional temperature data measured by infrared thermography to three-dimensional point coordinates from stereocorrelation-based digital image correlation. Unlike existing multiview approaches, we utilize two independently calibrated industrial-grade systems and augment the experimental evaluation with the pinhole camera model. The projection matrix of the camera model is calibrated using a single image of a reference object. Through this projection, temperature fields are accurately represented at material points. Our method is particularly suited for, but not restricted to, curved surfaces and straightforward to embed in existing experimental protocols, as the image registration is kept as is. Additionally, we propose using radial basis functions as a global interpolation ansatz in both space and time to compute in-plane temperature gradients and even temperature rates on curved surfaces, thereby providing an extensive and information-rich full-field dataset.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品;中文卡片由大模型生成,请以原文为准。