AI-based defect detection and self-healing in metal additive manufacturing

AI-based defect detection and self-healing in metal additive manufacturing

This pilot study develops a process to evaluate in-situ defect detection and self-healing in Ti-6Al-4V fabricated using laser-based powder bed fusion. A tailor-made test specimen was designed and manufactured for the nanofocus tube X-ray computed tomography (XCT) system. In situ optical tomography w...

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Bibliographic Details
Main Authors: Jan Akmal, Kevin Minet-Lallemand, Jukka Kuva, Tatu Syvänen, Pilvi Ylander, Tuomas Puttonen, Roy Björkstrand, Jouni Partanen, Olli Nyrhilä, Mika Salmi
Format: Article
Language:English
Published: Taylor & Francis Group 2025-12-01
Series:Virtual and Physical Prototyping
Subjects:
Product design and development
quality assurance
digital manufacturing
3D printing
artificial intelligence
machine learning
Online Access:https://www.tandfonline.com/doi/10.1080/17452759.2025.2500671
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https://www.tandfonline.com/doi/10.1080/17452759.2025.2500671

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