In-situ defect detection and material property evaluationin additive manufacturing using acoustic signal and machinelearning

In-situ monitoring is crucial for detecting defects and estimating material properties to ensure the quality of printed parts in additive manufacturing. Acoustic signals produced during the interaction between the laser and material contain critical information about complex physical mechanism...

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Bibliographic Details
Main Authors: Abdullah Bin Zainal, Zheng Jie Tan, Saritha Samudrala, Zi Wen Tham, Lei Zhang, Santhakumar Sampath
Format: Article
Language:deu
Published: NDT.net 2025-03-01
Series:e-Journal of Nondestructive Testing
Online Access:https://www.ndt.net/search/docs.php3?id=30802
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