A New Method for the Microfocus X-ray Computed Tomography Visualization and Quantitative Exploration of Reinforcement Particles in Additively Manufactured Superalloy IN718

IF 2.4 3区 材料科学 Q2 MATERIALS SCIENCE, CHARACTERIZATION & TESTING
I-Ting Ho, Devin Bayly, Pascal Thome, Sammy Tin
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引用次数: 0

Abstract

This study presents a quantitative analysis of CeO2 and TiB2 non-metallic particles within the microstructure of additively manufactured (AM) Ni-superalloys Inconel 718 (IN718), using microfocus X-ray computed tomography (micro-XCT) and a volumetric analysis tool, CGAL VESPA Alpha Wrapping. Focusing on the characterization of CeO2 and TiB2 particles embedded within IN718, this method highlights their size and volume fraction variations as well as distinct spatial distributions, which are quantitatively compared to metallographically prepared SEM samples. Quantitative assessments conducted with Paraview served as the basis for optimizing alpha and offset parameters for surface construction. This optimized data processing routine yields volume and surface morphology estimations that more closely align with those obtained from SEM observations, compared to the traditional Marching Cubes algorithm, assuming identical preprocessing and binarization standards. The flexibility to adjust the wrapping parameters also allows for precise control over volumetric and surface area estimations. The results demonstrated that CGAL VESPA Alpha Wrapping, implemented in Paraview for object identification, enables simultaneous evaluation of particle morphology and authentic volumetric information from the same micro-XCT data, particularly for non-uniformly distributed reinforcement particles. This capability supports a more reliable non-destructive evaluation for AM components.

Abstract Image

Abstract Image

增材制造高温合金IN718中增强颗粒微焦x射线计算机断层成像可视化及定量探测新方法
本研究采用微聚焦x射线计算机断层扫描(microxct)和体积分析工具CGAL VESPA Alpha包覆技术,对增材制造(AM)镍高温合金Inconel 718 (IN718)微观结构中的CeO2和TiB2非金属颗粒进行了定量分析。该方法重点表征了嵌入在IN718中的CeO2和TiB2颗粒,突出了它们的尺寸和体积分数变化以及不同的空间分布,并与金相制备的SEM样品进行了定量比较。使用Paraview进行的定量评估是优化表面施工alpha和偏移参数的基础。与传统的Marching Cubes算法相比,在相同的预处理和二值化标准下,这种优化的数据处理程序产生的体积和表面形貌估计与SEM观测结果更接近。调整包装参数的灵活性也允许对体积和表面积估计的精确控制。结果表明,在Paraview中实现的用于物体识别的CGAL VESPA Alpha wrap,可以同时评估来自相同micro-XCT数据的颗粒形态和真实体积信息,特别是对于非均匀分布的增强颗粒。该功能支持对增材制造组件进行更可靠的非破坏性评估。
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来源期刊
Journal of Nondestructive Evaluation
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
67
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.
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