In-situ infra-red monitoring of powder bed fusion laser beam (PBF-LB) for density prediction using supervised machine learning models for nitinol shape memory alloy as a basis for closed-loop control

This study investigates a robust predictive model for Nickel-Titanium (NiTi) part quality in powder bed fusion laser beam (PBF-LB) serving as a foundational step toward the implementation of real-time Closed-Loop Control (CLC). NiTi fabrication is often challenged by porosity formation. This study u...

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Principais autores:	Gavin Chapman, Medad Chiedozie C. Monu, Dermot Brabazon
Formato:	Artigo
Idioma:	Inglês
Publicado:	Taylor & Francis Group 2026-12-01
Series:	Virtual and Physical Prototyping
Assuntos:	Powder Bed Fusion-Laser Beam (PBF-LB) In-Situ Monitoring Infra-red (IR) Density Machine Learning
Acceso en liña:	https://www.tandfonline.com/doi/10.1080/17452759.2026.2658304
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