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Computational Methods for Microstructure-Property Relationships pp 31–52Cite as

Serial Sectioning Methods for Generating 3D Characterization Data of Grain- and Precipitate-Scale Microstructures

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Abstract

This chapter provides an overview of the current state-of-the-art for experimental collection of microstructural data of grain assemblages and other features of similar scale in three dimensions (3D). The chapter focuses on the use of serial sectioning methods and associated instrumentation, as this is the most widely available and accessible technique for collecting such data for the foreseeable future. Specifically, the chapter describes the serial sectioning methodology in detail, focusing in particular on automated systems that can be used for such experiments, highlights possibilities for including crystallographic and chemical data, provides a concise discussion of the post-experiment handling of the data, and identifies current shortcomings and future development needs for this field.

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Authors and Affiliations

  1. Materials and Manufacturing Directorate, Air Force Research Laboratory, Wright-Patterson Air Force Base, Dayton, OH, USA

    Michael D. Uchic

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  1. Michael D. Uchic
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Correspondence to Michael D. Uchic .

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Editors and Affiliations

  1. Dept. Mechanical Engineering, Ohio State University, W. 19. Ave. 201, Columbus, 43210, Ohio, USA

    Somnath Ghosh

  2. Materials & Manufacturing Directorate, Air Force Research Lab., Wright-Patterson Air Force Base, Dayton, 45433-7702, Ohio, USA

    Dennis Dimiduk

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Uchic, M.D. (2011). Serial Sectioning Methods for Generating 3D Characterization Data of Grain- and Precipitate-Scale Microstructures. In: Ghosh, S., Dimiduk, D. (eds) Computational Methods for Microstructure-Property Relationships. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-0643-4_2

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  • DOI: https://doi.org/10.1007/978-1-4419-0643-4_2

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  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4419-0642-7

  • Online ISBN: 978-1-4419-0643-4

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