Suppr超能文献

用于增材制造中表面下缺陷检测的涡流传感器探头设计

Eddy Current Sensor Probe Design for Subsurface Defect Detection in Additive Manufacturing.

作者信息

E Farag Heba, Khamesee Mir Behrad, Toyserkani Ehsan

机构信息

Department of Mechanical and Mechatronics Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada.

出版信息

Sensors (Basel). 2024 Aug 19;24(16):5355. doi: 10.3390/s24165355.

Abstract

Pore and crack formation in parts produced by additive manufacturing (AM) processes, such as laser powder bed fusion, is one of the issues associated with AM technology. Surface and subsurface cracks and pores are induced during the printing process, undermining the printed part durability. In-situ detection of defects will enable the real-time or intermittent control of the process, resulting in higher product quality. In this paper, a new eddy current-based probe design is proposed to detect these defects in parts with various defects that mimic pores and cracks in additively manufactured parts. Electromagnetic finite element analyses were carried out to optimize the probe geometry, followed by fabricating a prototype. Artificial defects were seeded in stainless steel plates to assess the feasibility of detecting various flaws with different widths and lengths. The smallest defect detected had a 0.17 mm radius for blind holes and a 0.43 mm notch with a 5 mm length. All the defects were 0.5 mm from the surface, and the probe was placed on the back surface of the defects. The surface roughness of the tested samples was less than 2 µm. The results show promise for detecting defects, indicating a potential application in AM.

摘要

增材制造(AM)工艺(如激光粉末床熔融)所生产部件中的孔隙和裂纹形成是与AM技术相关的问题之一。在打印过程中会产生表面和亚表面裂纹及孔隙,这会损害打印部件的耐久性。对缺陷进行原位检测将能够对工艺进行实时或间歇控制,从而提高产品质量。本文提出了一种基于涡流的新型探头设计,用于检测具有各种缺陷的部件中的这些缺陷,这些缺陷模拟了增材制造部件中的孔隙和裂纹。进行了电磁有限元分析以优化探头几何形状,随后制造了一个原型。在不锈钢板中植入人工缺陷,以评估检测不同宽度和长度的各种缺陷的可行性。检测到的最小缺陷,盲孔半径为0.17毫米,长度为5毫米的缺口为0.43毫米。所有缺陷距离表面均为0.5毫米,探头放置在缺陷的背面。测试样品的表面粗糙度小于2微米。结果表明在检测缺陷方面具有前景,显示出在增材制造中的潜在应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b910/11359206/409c59232080/sensors-24-05355-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验