ArticleMaterials (Basel, Switzerland)2021
In Situ Monitoring of Powder Bed Fusion Homogeneity in Electron Beam Melting.
Article in Materials (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Geometry and Surface Feature Evaluation in E-PBF Process Using In-Operando Electron Emission Signal.Materials (Basel, Switzerland) · 2026Article
- Review of Visual Measurement Methods for Metal Vaporization Processes in Laser Powder Bed Fusion.Micromachines · 2023Review
- Measuring the Cooling Behavior of Melt Pools in L-PBF by Pyrometry.Materials (Basel, Switzerland) · 2023Article
- Online Monitoring Technology of Metal Powder Bed Fusion Processes: A Review.Materials (Basel, Switzerland) · 2022Review
- A Review of Spatter in Laser Powder Bed Fusion Additive Manufacturing: In Situ Detection, Generation, Effects, and Countermeasures.Micromachines · 2022Review
- Adhesive Joints of Additively Manufactured Adherends: Ultrasonic Evaluation of Adhesion Strength.Materials (Basel, Switzerland) · 2022Article
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Abstract
Increasing attention has been devoted in recent years to in situ sensing and monitoring of the electron beam melting process, ranging from seminal methods based on infrared imaging to novel methods based on backscattered electron detection. However, the range of available in situ monitoring capabilities and solutions is still quite limited compared to the wide number of studies and industrial toolkits in laser-based additive manufacturing processes. Some methods that are already industrially available in laser powder bed fusion systems, such as in situ detection of recoating errors, have not yet been investigated and tested in electron beam melting. Motivated by the attempt to fill this gap, we present a novel in situ monitoring methodology that can be easily implemented in industrial electron beam melting machines. The method is aimed at identifying local inhomogeneity and irregularities in the powder bed by means of layerwise image acquisition and processing, with no external illumination source apart from the light emitted by the hot material underneath the currently recoated layer. The results show that the proposed approach is suitable to detect powder bed anomalies, while also highlighting the link between the severity of in situ detected errors and the severity of resulting defects in the additively manufactured part.
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