Application of three-dimensional digital image processing for reconstruction of microstructural volume from serial sections

Tewari, A; Gokhale, A M

doi:10.1016/S1044-5803(99)00004-2

Title: Application of three-dimensional digital image processing for reconstruction of microstructural volume from serial sections

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Abstract

Three-dimensional digital image processing is useful for reconstruction of microstructural volume from a stack of serial sections. Application of this technique is demonstrated via reconstruction of a volume segment of the liquid-phase sintered microstructure of a tungsten heavy alloy processed in the microgravity environment of NASA's space shuttle, Columbia. Ninety serial sections (approximately one micrometer apart) were used for reconstruction of the three-dimensional microstructure. The three-dimensional microstructural reconstruction clearly revealed that the tungsten grains are almost completely connected in three-dimensional space. Both the matrix and the grains are topologically co-continuous, although the alloy was liquid-phase sintered in microgravity. Therefore, absence of gravity did not produced a microstructure consisting of discrete isolated W grains uniformly dispersed in the liquid Ni-Fe alloy matrix at the sintering temperature.

Authors:: Tewari, A; Gokhale, A M

Publication Date:: Wed Mar 01 00:00:00 EST 2000

Research Org.:: Georgia Inst. of Tech., Atlanta, GA (US)

OSTI Identifier:: 20050560

Resource Type:: Journal Article

Journal Name:: Materials Characterization

Additional Journal Information:: Journal Volume: 44; Journal Issue: 3; Other Information: PBD: Mar 2000; Journal ID: ISSN 1044-5803

Country of Publication:: United States

Language:: English

Subject:: 36 MATERIALS SCIENCE; MICROSTRUCTURE; TUNGSTEN ALLOYS; NICKEL ALLOYS; IRON ALLOYS; SPACE SHUTTLES; WEIGHTLESSNESS; IMAGE PROCESSING

Citation Formats


                    Tewari, A, and Gokhale, A M. Application of three-dimensional digital image processing for reconstruction of microstructural volume from serial sections.  United States: N. p., 2000. 
        Web.  doi:10.1016/S1044-5803(99)00004-2.

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                    Tewari, A, & Gokhale, A M. Application of three-dimensional digital image processing for reconstruction of microstructural volume from serial sections.  United States.  https://doi.org/10.1016/S1044-5803(99)00004-2

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                    Tewari, A, and Gokhale, A M. 2000.  
        "Application of three-dimensional digital image processing for reconstruction of microstructural volume from serial sections".  United States.  https://doi.org/10.1016/S1044-5803(99)00004-2.

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@article{osti_20050560,

  title        = {Application of three-dimensional digital image processing for reconstruction of microstructural volume from serial sections},

  author       = {Tewari, A and Gokhale, A M},

  abstractNote = {Three-dimensional digital image processing is useful for reconstruction of microstructural volume from a stack of serial sections. Application of this technique is demonstrated via reconstruction of a volume segment of the liquid-phase sintered microstructure of a tungsten heavy alloy processed in the microgravity environment of NASA's space shuttle, Columbia. Ninety serial sections (approximately one micrometer apart) were used for reconstruction of the three-dimensional microstructure. The three-dimensional microstructural reconstruction clearly revealed that the tungsten grains are almost completely connected in three-dimensional space. Both the matrix and the grains are topologically co-continuous, although the alloy was liquid-phase sintered in microgravity. Therefore, absence of gravity did not produced a microstructure consisting of discrete isolated W grains uniformly dispersed in the liquid Ni-Fe alloy matrix at the sintering temperature.},

  doi          = {10.1016/S1044-5803(99)00004-2},

  url          = {https://www.osti.gov/biblio/20050560},
  journal      = {Materials Characterization},

  issn         = {1044-5803},

  number       = 3,

  volume       = 44,

  place        = {United States},

  year         = {Wed Mar 01 00:00:00 EST 2000},

  month        = {Wed Mar 01 00:00:00 EST 2000}

}

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