Considerations for the Design of a Multi-Color High-Speed X-Ray Computed Tomography Diagnostic

Abstract

This report describes the development and work progress of designing and building an improved radiographic computed tomographic technique that has the potential to provide material specificity of a three-dimensional spatial field, relatively quickly in time (on the order of <100 ns), with mm3 voxel resolution (a voxel is the three-dimensional equivalent of a pixel). This report details thoughts and work performed focusing on potential issues regarding: the robustness of a structural frame and components of the diagnostic; how to obtain accurate measurements of the x-ray flux verses energy output of the multiple x-ray sources, which is necessary to obtain material specificity; electrical grounding and shielding of the numerous pulse power sources; and collection of static data that can be used to prove the premise of material specificity in a nondynamic state. Conclusions are made suggesting possible paths forward for construction of a device that would have the potential to make measurements of dynamic events with high-impulse loadings.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2014
Accession Number
ADA610502

Entities

People

  • Chester A. Benjamin
  • Corey E. Yonce
  • Gerald L. Schafer
  • Gerard T. Chaney
  • James A. Perrella
  • Joshua M. Sturgill
  • Michael B Zellner
  • Robert W. Borys
  • Robin D. Strickland
  • Ronald Cantrell

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Chemical Reactions
  • Construction
  • Detectors
  • Electrical Grounding
  • Geometry
  • Materials
  • Measurement
  • Military Research
  • Radiation
  • Shielding
  • Three Dimensional
  • Tomography
  • Two Dimensional
  • X Ray Tubes
  • X Rays
  • X-Ray Computed Tomography
  • X-Ray Detectors

Fields of Study

  • Physics

Readers

  • Control Systems Engineering.
  • Image Processing and Computer Vision.
  • Systems Analysis and Design