Automated methods for the quantification of 3D woven architectures

Authors

Amanda J. Levinson, U.S. Naval Research Laboratory
David J. Rowenhorst, U.S. Naval Research LaboratoryFollow
Keith W. Sharp, Saertex USA, LLC.
Stephen M. Ryan, Johns Hopkins University
Kevin J. Hemker, Johns Hopkins University
Richard W. Fonda, U.S. Naval Research Laboratory

Date of this Version

2017

Citation

Materials Characterization 124 (2017), pp. 241–249.

Comments

U.S. government work.

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.