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Automating Structural Modeling of Composites Enriched by X-Ray Micro-Tomography and Digital Imaging Data

[+] Author Affiliations
Athanasios P. Iliopoulos, John G. Michopoulos, John C. Steuben, Andrew J. Birnbaum

Naval Research Laboratory, Washington, DC

Jim Lua, Anand Karuppiah

Global Engineering and Materials, Inc., Princeton, NJ

Waruna Seneviratne, Caleb Saathoff

Wichita State University, Wichita, KS

Paper No. DETC2018-86062, pp. V01BT02A023; 11 pages
doi:10.1115/DETC2018-86062
From:
  • ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Volume 1B: 38th Computers and Information in Engineering Conference
  • Quebec City, Quebec, Canada, August 26–29, 2018
  • Conference Sponsors: Design Engineering Division, Computers and Information in Engineering Division
  • ISBN: 978-0-7918-5173-9
  • Copyright © 2018 by ASME

abstract

The manufacturing processes of Fiber Reinforced Polymers (FRPs) as composite materials are frequently prone to the creation of various types of undesired morphologies and defects. These can include layer waviness, inclusions, and voids. Structural modeling for Finite Element Analysis (FEA) of structures including such morphologies and defects has not been practically realizable until recent developments in X-ray microtomography enabled the detection of such defects in a nondestructive manner. In the present work we present our initial steps toward the FEA modeling of FRP composite structures that leverage utilization of X-ray and regular digital imaging data as well as semi-automated methods for generating appropriate FEA models. Emphasis is given in defining waviness-driven curvilinear coordinate systems, defect identification and integration of both waviness and defects to FEA analysis including a planestrain application of a curved composite bracket under four-point bending conditions.

Copyright © 2018 by ASME

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