Interferometric Tomography of High-Speed Aerodynamic Flows

Abstract

Tomographic visualization of three-dimensional flow fields from multidirectional interferometric data has various advantages in its noninvasiveness and relatively high resolution and instantaneous capture of gross fields. The technique, however, encounters ill-posed problems: that is, incompleted projection, limited angular scanning, and insufficient nonuniform data. In the research, three typical methods have been developed for accurately reconstructing flow fields from severely limited data. First, a general method termed the complementary field method (CFM) has been developed in order to treat the all ill-posed problems in a unified manner. This iterative method can be combined with any direct reconstruction techniques. A special approach, which employs the CFM, has been formulated for discontinuous shock reconstruction arising in aerodynamics. Second, direct reconstruction techniques based on continuous local basis functions have been developed. These techniques, utilizing higher order approximation, demonstrate better reconstruction of continuous fields. Third, a variable grid technique has been develop to reflect intrinsic spatial resolution information contained interferometric data. Test results demonstrate substantial error reduction when the CFM and an appropriate developed technique are coupled. (SDW)

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Document Details

Document Type
Technical Report
Publication Date
Aug 31, 1990
Accession Number
ADA229319

Entities

People

  • Soyoung S. Cha

Organizations

  • University of Illinois at Chicago

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Accuracy
  • Aerodynamics
  • Artifacts
  • Computer Simulations
  • Engineering
  • Flow
  • Flow Fields
  • Fluid Flow
  • High Resolution
  • Hydrodynamics
  • Measurement
  • Military Research
  • Nonuniform
  • Scanning
  • Three Dimensional
  • Three Dimensional Flow
  • Tomography

Fields of Study

  • Physics

Readers

  • Computational Fluid Dynamics (CFD)
  • Image Processing and Computer Vision.
  • Systems Analysis and Design