{"title":"利用 X 射线计算机断层扫描和机械抛光序列切片对 AM Ti64 的内部孔隙率进行比较分析","authors":"Bryce Jolley;Christine Knott;Daniel Sparkman;Michael Uchic","doi":"10.1109/OJIM.2024.3477569","DOIUrl":null,"url":null,"abstract":"X-ray computed tomography (XCT) is a widely adopted nondestructive technique for characterizing internal porosity in additive manufactured (AM) components. However, the accuracy and precision of porosity characterization using XCT can be affected by factors, such as XCT system configuration and post-processing methodologies. This study investigates the influence of these variables on porosity characterization by comparing results obtained from four different XCT systems and two distinct analysis workflows applied to a single metallic AM sample. A benchmark is also established for the XCT performance by using a high-resolution reference dataset generated through mechanical polishing serial sectioning (MPSS). Porosity metrics, including volume fraction, pore count, size distribution, and equivalent spherical diameter (ESD), were computed for large pores (\n<inline-formula> <tex-math>$\\ge 84~\\mu $ </tex-math></inline-formula>\nm) within the XCT and MPSS datasets. By comparing these metrics across XCT systems and workflows, this research aims to demonstrate the variability introduced by different XCT configurations and analysis procedures, providing insights into the potential limitations and uncertainty considerations needed while carrying out XCT-based porosity characterization of AM components.","PeriodicalId":100630,"journal":{"name":"IEEE Open Journal of Instrumentation and Measurement","volume":"3 ","pages":"1-11"},"PeriodicalIF":0.0000,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10713292","citationCount":"0","resultStr":"{\"title\":\"Comparative Analysis of Internal Porosity in AM Ti64 Using X-Ray Computed Tomography and Mechanical Polishing Serial Sectioning\",\"authors\":\"Bryce Jolley;Christine Knott;Daniel Sparkman;Michael Uchic\",\"doi\":\"10.1109/OJIM.2024.3477569\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"X-ray computed tomography (XCT) is a widely adopted nondestructive technique for characterizing internal porosity in additive manufactured (AM) components. However, the accuracy and precision of porosity characterization using XCT can be affected by factors, such as XCT system configuration and post-processing methodologies. This study investigates the influence of these variables on porosity characterization by comparing results obtained from four different XCT systems and two distinct analysis workflows applied to a single metallic AM sample. A benchmark is also established for the XCT performance by using a high-resolution reference dataset generated through mechanical polishing serial sectioning (MPSS). Porosity metrics, including volume fraction, pore count, size distribution, and equivalent spherical diameter (ESD), were computed for large pores (\\n<inline-formula> <tex-math>$\\\\ge 84~\\\\mu $ </tex-math></inline-formula>\\nm) within the XCT and MPSS datasets. By comparing these metrics across XCT systems and workflows, this research aims to demonstrate the variability introduced by different XCT configurations and analysis procedures, providing insights into the potential limitations and uncertainty considerations needed while carrying out XCT-based porosity characterization of AM components.\",\"PeriodicalId\":100630,\"journal\":{\"name\":\"IEEE Open Journal of Instrumentation and Measurement\",\"volume\":\"3 \",\"pages\":\"1-11\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-10-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10713292\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Open Journal of Instrumentation and Measurement\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10713292/\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Open Journal of Instrumentation and Measurement","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/10713292/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
X 射线计算机断层扫描(XCT)是一种广泛采用的无损技术,用于表征增材制造(AM)部件的内部孔隙率。然而,使用 XCT 表征孔隙率的准确性和精确度会受到一些因素的影响,如 XCT 系统配置和后处理方法。本研究通过比较四种不同的 XCT 系统和两种应用于单一金属 AM 样品的不同分析工作流程所获得的结果,研究了这些变量对孔隙率表征的影响。此外,还使用通过机械抛光序列切片(MPSS)生成的高分辨率参考数据集为 XCT 性能建立了基准。对 XCT 和 MPSS 数据集中的大孔隙(84~mu $ m)计算了孔隙度指标,包括体积分数、孔隙数、尺寸分布和等效球直径(ESD)。通过比较不同 XCT 系统和工作流程的这些指标,本研究旨在展示不同 XCT 配置和分析程序带来的可变性,从而深入了解在对 AM 组件进行基于 XCT 的孔隙率表征时需要考虑的潜在限制和不确定性。
Comparative Analysis of Internal Porosity in AM Ti64 Using X-Ray Computed Tomography and Mechanical Polishing Serial Sectioning
X-ray computed tomography (XCT) is a widely adopted nondestructive technique for characterizing internal porosity in additive manufactured (AM) components. However, the accuracy and precision of porosity characterization using XCT can be affected by factors, such as XCT system configuration and post-processing methodologies. This study investigates the influence of these variables on porosity characterization by comparing results obtained from four different XCT systems and two distinct analysis workflows applied to a single metallic AM sample. A benchmark is also established for the XCT performance by using a high-resolution reference dataset generated through mechanical polishing serial sectioning (MPSS). Porosity metrics, including volume fraction, pore count, size distribution, and equivalent spherical diameter (ESD), were computed for large pores (
$\ge 84~\mu $
m) within the XCT and MPSS datasets. By comparing these metrics across XCT systems and workflows, this research aims to demonstrate the variability introduced by different XCT configurations and analysis procedures, providing insights into the potential limitations and uncertainty considerations needed while carrying out XCT-based porosity characterization of AM components.