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May 8, 2026Hanguk bunmal jaeryo hakoeji0 citationsOpen Access

X-Ray Imaging of Solid-State Sintering and Laser Powder Bed Fusion: A Review of Process Monitoring and Defect Evolution

WCWonjun ChoWCWoobin ChoSPS Park

Key Points

  • The aim is to review advancements in X-ray imaging techniques for monitoring powder-based metal processing and understanding defect evolution.
  • Analyzed synchrotron tomography for solid-state sintering to assess particle dynamics and densification.
  • Utilized high-speed radiography for laser powder bed fusion to examine melt-pool behavior and defect formation.
  • Discussed integration of operando imaging with simulations and machine-learning for real-time process control.
  • Synchrotron tomography revealed critical insights into particle rearrangement and pore evolution during solid-state sintering.
  • High-speed radiography captured detailed behavior of melt pools, including vapor-jet dynamics and porosity mechanisms.
  • Identified significant trade-offs in current X-ray methods regarding resolution, emphasizing the need for advancements in quantitative imaging.

Abstract

X-ray imaging has become essential for understanding powder-based metal processing. In solid-state sintering, synchrotron tomography reveals particle rearrangement, neck growth, and pore evolution, clarifying how packing heterogeneity and particle-size distribution govern densification. In laser powder bed fusion, high-speed radiography captures microsecond-scale melt-pool behavior, including keyhole dynamics, vapor-jet entrainment, spatter formation, and bubble-mediated porosity, thereby enabling mechanistic links between processing conditions and defect generation. Nonetheless, current X-ray methods face trade-offs between spatial and temporal resolution and often remain qualitative. Integrating operando imaging with physics-based simulations and machine-learning models offers a path toward quantitative prediction and real-time control. This review summarizes recent progress and highlights key challenges and opportunities for advancing operando characterization of powder-based metal processes.

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Cite This Study

Cho et al. (2026) studied this question.

synapsesocial.com/papers/69fd7e90bfa21ec5bbf06d8dhttps://doi.org/10.4150/jpm.2025.00479
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