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Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies
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Published on: February 6, 2019

Proton radiography peers into metal solidification.

Amy Clarke1, Seth Imhoff, Paul Gibbs

  • 1Los Alamos National Laboratory, Los Alamos, NM 87545, USA. aclarke@lanl.gov

Scientific Reports
|June 20, 2013
PubMed
Summary

High-energy proton radiography allows real-time imaging of large metal volumes during melting and solidification, advancing materials science. This technique bridges scales, enabling better process development and material property control.

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Area of Science:

  • Materials Science and Engineering
  • Physics
  • Metallurgy

Background:

  • Traditionally, metal structure evolution during processing is studied destructively.
  • Real-time imaging of metal solidification has been limited to small volumes and low-density metals using X-ray radiography.
  • Understanding the processing-structure-property relationship is crucial for engineering materials.

Purpose of the Study:

  • To introduce high-energy proton radiography for in-situ imaging of large metal volumes during melting and solidification.
  • To bridge imaging capabilities across four orders of magnitude in volume.
  • To enable efficient process development and control of material structure evolution.

Main Methods:

  • Utilized high-energy proton radiography to image a large metal volume (>10,000 mm³) during phase transitions.
  • Employed complementary synchrotron X-ray radiography for imaging small volumes (<1 mm³).
  • Correlated real-time imaging data with material processing parameters.

Main Results:

  • Successfully demonstrated high-energy proton radiography for real-time imaging of large-scale metal melting and solidification.
  • Achieved imaging across a volume range spanning four orders of magnitude.
  • Provided unprecedented insights into metal structure evolution during processing.

Conclusions:

  • High-energy proton radiography is a powerful, non-destructive technique for studying large metal volumes in real-time.
  • This advancement facilitates efficient materials process development and tailored property control.
  • Enables the creation of experimentally validated, predictive models for materials processing and structure evolution.