Enhancing Computed Tomography-Based Pore Mesh Models Through Matching with Microscope Cross-Section Images

IF 2.4 3区材料科学 Q2 MATERIALS SCIENCE, CHARACTERIZATION & TESTING

Journal of Nondestructive Evaluation Pub Date : 2025-08-18 DOI:10.1007/s10921-025-01240-7

Sebastian Mansky, Malte Becker, Dirk Herzog, Ingomar Kelbassa

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引用次数: 0

Abstract

X-Ray Computed Tomography (CT) is a widely adopted tool in the non-destructive quality assurance of additive manufacturing (AM). Porosity in AM can be assessed via CT without compromising the integrity of the part and without reliance on witness specimen. Reliable pore criticality analysis, essential for AM fatigue assessments, hinges on precise determination of pore dimensions. This work investigates CT data by comparing the pore sizes and shapes from two different data sources (CT and metallography), originating from the same samples. The comparison indicates a pore size underestimation in the CT data by an average of 20%. A subsequent rescaling and smoothing workflow on the CT pore data compensates this underestimation. This workflow reduces the mean pore size deviations between both data sources by up to 50% compared to the original data, allowing a more accurate pore assessment. Additionally the smoothing process reduces errors introduced by the CT reconstruction, lowering the average and scatter in mean curvature between pores. The rescaled and smoothed pores serve as an improved starting point for investigations regarding the effect of porosity on fatigue in AM.

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通过与显微镜截面图像匹配增强基于计算机层析成像的孔隙网格模型

x射线计算机断层扫描（CT）是增材制造（AM）无损质量保证中广泛采用的工具。增材制造的孔隙度可以通过CT进行评估，而不影响零件的完整性，也不依赖于见证样品。可靠的孔隙临界分析，必不可少的AM疲劳评估，取决于孔隙尺寸的精确测定。本研究通过比较来自同一样品的两种不同数据源（CT和金相）的孔隙大小和形状来研究CT数据。对比表明，CT数据中的孔隙大小平均低估了20%。随后对CT孔隙数据的重新缩放和平滑工作流程补偿了这种低估。与原始数据相比，该工作流程将两个数据源之间的平均孔径偏差减少了50%，从而实现了更准确的孔隙评估。此外，平滑处理减少了CT重建带来的误差，降低了孔隙之间平均曲率的平均值和散射。重新调整和光滑的孔隙为研究AM中孔隙率对疲劳的影响提供了一个改进的起点。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Nondestructive Evaluation 工程技术-材料科学：表征与测试

CiteScore

4.90

自引率

7.10%

发文量

审稿时长

9 months

期刊介绍： Journal of Nondestructive Evaluation provides a forum for the broad range of scientific and engineering activities involved in developing a quantitative nondestructive evaluation (NDE) capability. This interdisciplinary journal publishes papers on the development of new equipment, analyses, and approaches to nondestructive measurements.