Quantifying the Effect of 3D Spatial Resolution on the Accuracy of Microstructural Distributions (PREPRINT)

Abstract

The choice of spatial resolution for experimentally-collected 3D microstructural data is often governed by general rules of thumb. For example, serial section experiments often strive to collect at least ten sections through the average feature-of-interest. However, the desire to collect high resolution data in 3D is greatly tempered by the exponential growth in collection times and data storage requirements. This paper explores the use of systematic down-sampling of synthetically-generated grain microstructures to examine the effect of resolution on the calculated distributions of microstructural descriptors such as grain size, number of nearest neighbors, aspect ratio, and the third moment invariant.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2012
Accession Number
ADA566104

Entities

People

  • Gregory Loughnane
  • Matthew Riley
  • Megna N Shah
  • Michael D. Uchic
  • Michael Groeber
  • Raghavan Srinivasan
  • Ramana Grandhi

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Accuracy
  • Air Force
  • Air Force Research Laboratories
  • Aspect Ratio
  • Computational Science
  • Data Analysis
  • Engineering
  • Grain Size
  • Materials
  • Materials Engineering
  • Materials Science
  • Microstructure
  • Military Research
  • Sampling
  • Statistical Analysis
  • Three Dimensional
  • United States

Readers

  • Powder metallurgy of Titanium alloys.
  • Quantum spin resonance or Electron Paramagnetic Resonance spectroscopy.
  • Systems Analysis and Design