Automated methods for the quantification of 3D woven architectures

Abstract

Serial sectioning was used to characterize the three-dimensional (3D) architecture of metallic textiles, a new class of periodic cellular materials for structural applications. Reconstructing the serial sectioned data required the development of an adaptive stitching algorithm to montage individual tiles from each section due to the sparse nature of this periodic structure where a predefined stitching pathway does not perform well. This dataset was used to develop computational tools to automate the quantification of the bonding efficiency and weave geometry to inform the weave processing as well as incorporate these parameters in the development of material models for more accurate performance prediction. An inverse correlation was present between the wire spacing and the bonding efficiency of wire joints where bonding efficiency increased with a decrease in wire spacing. These tools could have broader applications analyzing other periodic cellular materials, containing similar sized struts, utilizing different materials or processing routes. Published by Elsevier Inc.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 2017
Accession Number
AD1117761

Entities

People

  • Amanda J. Levinson
  • David J. Rowenhorst
  • Richard W. Fonda

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Algorithms
  • Cellular Structures
  • Cross Correlation
  • Geometric Forms
  • Geometry
  • High Resolution
  • Image Processing
  • Lines (Geometry)
  • Manufacturing
  • Materials
  • Materials Science
  • Mechanical Properties
  • Orientation (Direction)
  • Solid Phases
  • Three Dimensional
  • Topology Optimization
  • Two Dimensional

Readers

  • Computational Fluid Dynamics (CFD)
  • Neural Network Machine Learning.
  • Reinforced Composite Materials

Technology Areas

  • Space