Influence of Waviness on the Elastic Properties of Aligned Carbon Nanotube Polymer Matrix Nanocomposites

The promise of enhanced performance has motivated the study of one dimensional nanomaterials, especially aligned carbon nanotubes (A-CNTs), for the reinforcement of polymeric materials. While early work has shown that CNTs have remarkable theoretical properties, more recent work on aligned CNT polym...

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Main Authors: Stein, Itai Y, Wardle, Brian L
Other Authors: Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Format: Article
Language:en_US
Published: American Institute of Aeronautics and Astronautics 2017
Online Access:http://hdl.handle.net/1721.1/106911
https://orcid.org/0000-0003-3229-7315
https://orcid.org/0000-0003-3530-5819
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author Stein, Itai Y
Wardle, Brian L
author2 Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
author_facet Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Stein, Itai Y
Wardle, Brian L
author_sort Stein, Itai Y
collection MIT
description The promise of enhanced performance has motivated the study of one dimensional nanomaterials, especially aligned carbon nanotubes (A-CNTs), for the reinforcement of polymeric materials. While early work has shown that CNTs have remarkable theoretical properties, more recent work on aligned CNT polymer matrix nanocomposites (A-PNCs) have reported mechanical properties that are orders of magnitude lower than those predicted by rule of mixtures. This large difference primarily originates from the morphology of the CNTs that reinforce the A-PNCs, which have significant local curvature commonly referred to as waviness, but are commonly modeled using the oversimplified straight column geometry. Here we used a simulation framework capable of analyzing 105 wavy CNTs with realistic stochastic morphologies to study the influence of waviness on the compliance contribution of wavy A-CNTs to the effective elastic modulus of A-PNCs, and show that waviness is responsible for the orders of magnitude over-prediction of the A-PNC effective modulus by existing theoretical frameworks that both neglect the shear deformation mechanism and do not properly account for the CNT morphpology. Additional work to quantify the morphology of A-PNCs in three dimensions and simulate their full elastic constitutive relations is planned.
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spelling mit-1721.1/1069112022-10-01T05:58:35Z Influence of Waviness on the Elastic Properties of Aligned Carbon Nanotube Polymer Matrix Nanocomposites Stein, Itai Y Wardle, Brian L Massachusetts Institute of Technology. Department of Aeronautics and Astronautics Stein, Itai Y. Stein, Itai Y Wardle, Brian L The promise of enhanced performance has motivated the study of one dimensional nanomaterials, especially aligned carbon nanotubes (A-CNTs), for the reinforcement of polymeric materials. While early work has shown that CNTs have remarkable theoretical properties, more recent work on aligned CNT polymer matrix nanocomposites (A-PNCs) have reported mechanical properties that are orders of magnitude lower than those predicted by rule of mixtures. This large difference primarily originates from the morphology of the CNTs that reinforce the A-PNCs, which have significant local curvature commonly referred to as waviness, but are commonly modeled using the oversimplified straight column geometry. Here we used a simulation framework capable of analyzing 105 wavy CNTs with realistic stochastic morphologies to study the influence of waviness on the compliance contribution of wavy A-CNTs to the effective elastic modulus of A-PNCs, and show that waviness is responsible for the orders of magnitude over-prediction of the A-PNC effective modulus by existing theoretical frameworks that both neglect the shear deformation mechanism and do not properly account for the CNT morphpology. Additional work to quantify the morphology of A-PNCs in three dimensions and simulate their full elastic constitutive relations is planned. Airbus Group Boeing Company EMBRAER Lockheed Martin Saab (Firm) Toho Tenax Co., Ltd. ANSYS, Inc. NECST Consortium United States. Army Research Office (Contract W911NF-07-D-0004 and W911NF- 13-D-0001) United States. Air Force Research Laboratory (Contract FA8650-11-D-58000) American Society for Engineering Education. National Defense Science and Engineering Graduate Fellowship 2017-02-10T20:46:56Z 2017-02-10T20:46:56Z 2016-01 Article http://purl.org/eprint/type/ConferencePaper 978-1-62410-392-6 http://hdl.handle.net/1721.1/106911 Stein, Itai Y., and Brian L. Wardle. “Influence of Waviness on the Elastic Properties of Aligned Carbon Nanotube Polymer Matrix Nanocomposites.” American Institute of Aeronautics and Astronautics, 2016. https://orcid.org/0000-0003-3229-7315 https://orcid.org/0000-0003-3530-5819 en_US http://dx.doi.org/10.2514/6.2016-0151 Proceedings of the 57th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf American Institute of Aeronautics and Astronautics Stein
spellingShingle Stein, Itai Y
Wardle, Brian L
Influence of Waviness on the Elastic Properties of Aligned Carbon Nanotube Polymer Matrix Nanocomposites
title Influence of Waviness on the Elastic Properties of Aligned Carbon Nanotube Polymer Matrix Nanocomposites
title_full Influence of Waviness on the Elastic Properties of Aligned Carbon Nanotube Polymer Matrix Nanocomposites
title_fullStr Influence of Waviness on the Elastic Properties of Aligned Carbon Nanotube Polymer Matrix Nanocomposites
title_full_unstemmed Influence of Waviness on the Elastic Properties of Aligned Carbon Nanotube Polymer Matrix Nanocomposites
title_short Influence of Waviness on the Elastic Properties of Aligned Carbon Nanotube Polymer Matrix Nanocomposites
title_sort influence of waviness on the elastic properties of aligned carbon nanotube polymer matrix nanocomposites
url http://hdl.handle.net/1721.1/106911
https://orcid.org/0000-0003-3229-7315
https://orcid.org/0000-0003-3530-5819
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