Porosity defects in additively manufactured metal materials: Formation mechanisms, impact on performance and regulation

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Porosity defects can significantly affect the performance of metal parts in additive manufacturing, limiting service capabilities.
The analysis categorizes three main types of porosity defects, elucidating how process parameters and material properties interact.
Advanced detection techniques are compared, revealing their unique advantages and limitations for analyzing defects in real-time.
Preventive strategies, including numerical simulations and machine learning, are outlined to minimize porosity during manufacturing.

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This review examines formation mechanisms and detection techniques for porosity defects in metal, highlighting control strategies.

Wang et al. (2025) studied this question.

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