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Dynamic Multicontrast X-Ray Imaging Method Applied to Additive Manufacturing.

Lorenzo Massimi1, Samuel J Clark2, Sebastian Marussi2

  • 1Department of Medical Physics and Biomedical Engineering, University College London, Gower St, London WC1E 6BT, United Kingdom.

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This summary is machine-generated.

This study introduces a dynamic X-ray imaging technique for real-time analysis of metal melting during laser additive manufacturing. The method captures multiple signals simultaneously, offering unprecedented insights into dynamic processes.

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Area of Science:

  • Materials Science
  • Physics
  • Engineering

Background:

  • Laser additive manufacturing (LAM) involves complex melting dynamics that are challenging to observe in real-time.
  • Current synchrotron radiography methods are often limited to single-modality imaging, restricting the information obtainable about melting processes.

Purpose of the Study:

  • To develop and demonstrate a dynamic X-ray imaging method capable of capturing multiple signals with high spatiotemporal resolution.
  • To investigate the melting of metals during laser additive manufacturing using this novel technique.

Main Methods:

  • Implementation of a dynamic beam-tracking X-ray imaging method.
  • Acquisition of simultaneous absorption, phase, and ultrasmall angle scattering signals.
  • Achieving microscopic resolution and high frame rate (22-ms time resolution).

Main Results:

  • Successfully captured dynamic processes, specifically the melting of metals in laser additive manufacturing.
  • Demonstrated simultaneous acquisition of absorption, phase, and ultrasmall angle scattering signals.
  • Enabled earlier segmentation of droplets, tracking of powder dynamics, and estimation of unfused powder.

Conclusions:

  • The dynamic X-ray imaging method provides a powerful tool for studying fast material transformations.
  • Simultaneous multi-contrast imaging offers richer information on melting dynamics compared to single-modality techniques.
  • This method advances the understanding and control of laser additive manufacturing processes.