September 12, 2025

A High-speed Multimodal In-situ Monitoring System For Detecting Porosity And Deformation Defects In The Powder Bed Fusion Of Metallic Parts

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A high-speed monitoring system detects porosity and deformation defects in the PBF process, improving production quality.
Validation on 316L stainless steel samples shows a Pearson correlation of 0.9493 for porosity prediction and 17% error for deformation.
This multimodal approach combines visible and infrared imaging with a machine learning-based processing pipeline for rapid defect identification.
The findings indicate significant potential for intra-layer closed-loop control to enhance the powder bed fusion manufacturing process.

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New system identifies porosity and deformation defects in metallic parts during powder bed fusion, suggesting real-time adjustments.

Vandecasteele et al. (2025) studied this question.

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