@inproceedings{05299d1a018c45368abf5e71e4fb1f37,
title = "In-situ Three-dimensional Monitoring of LPBF Processing Reliability by Laser Line Scanning System",
abstract = "During laser powder bed fusion (LPBF), surface height data of the powder bed and part contain valuable information about potential defects and process reliability. However, traditional off-axis powder-spreading monitoring camera lacks accuracy and cannot measure out-of-plane deformation online. This paper presents the development of a high-precision laser line scanning system for in-situ layer-wise 3D powder bed monitoring. Specifically, an image processing method based on thresholding is proposed to preprocess the monitored 3D data, extracting morphological and height features. Furthermore, layer-wise roughness during component fabrication was analyzed based on these features to establish correlations between process parameters and roughness quality, providing a basis for diagnosing abnormal conditions. Finally, high-throughput experimental validation of the process parameters confirmed the effectiveness of both the developed monitoring system and the proposed methodology.",
keywords = "image processing, in-situ 3D measurement, laser line scanning, LPBF",
author = "Yibiao Wang and Jiafeng Tang and Zhibin Zhao and Xingwu Zhang and Ruqiang Yan and Xuefeng Chen",
note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 16th IEEE Reliability and Prognostics and Health Management Conference, PHM-Xian 2025 ; Conference date: 10-10-2025 Through 12-10-2025",
year = "2025",
doi = "10.1109/PHM-Xian66756.2025.11427664",
language = "英语",
series = "2025 Global Reliability and Prognostics and Health Management Conference, PHM-Xian 2025",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Huimin Wang and Steven Li",
booktitle = "2025 Global Reliability and Prognostics and Health Management Conference, PHM-Xian 2025",
}