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Title: Polymer matrix nanocomposites for automotive structural components

Over the past several decades, the automotive industry has expended significant effort to develop lightweight parts from new easy-to-process polymeric nanocomposites. These materials have been particularly attractive because they can increase fuel efficiency and reduce greenhouse gas emissions. However, attempts to reinforce soft matrices by nanoscale reinforcing agents at commercially deployable scales have been only sporadically successful to date. This situation is due primarily to the lack of fundamental understanding of how multiscale interfacial interactions and the resultant structures affect the properties of polymer nanocomposites. In this paper, we critically evaluate the state of the art in the field and propose a possible path that may help to overcome these barriers. Finally, only once we achieve a deeper understanding of the structure–properties relationship of polymer matrix nanocomposites will we be able to develop novel structural nanocomposites with enhanced mechanical properties for automotive applications.
Authors:
 [1] ;  [2] ;  [3]
  1. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Materials Science and Technology Division. Carbon and Composites Group
  2. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Center for Nanophase Materials Science. Spallation Neutron Source
  3. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Energy and Environmental Sciences Directorate; Michigan State Univ., East Lansing, MI (United States)
Publication Date:
Grant/Contract Number:
AC05-00OR22725
Type:
Accepted Manuscript
Journal Name:
Nature Nanotechnology
Additional Journal Information:
Journal Volume: 11; Journal Issue: 12; Journal ID: ISSN 1748-3387
Publisher:
Nature Publishing Group
Research Org:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org:
USDOE Laboratory Directed Research and Development (LDRD) Program; USDOE Office of Science (SC), Basic Energy Sciences (BES) (SC-22)
Country of Publication:
United States
Language:
English
Subject:
36 MATERIALS SCIENCE; chemical engineering; composites; structural properties
OSTI Identifier:
1335360

Naskar, Amit K., Keum, Jong K., and Boeman, Raymond G.. Polymer matrix nanocomposites for automotive structural components. United States: N. p., Web. doi:10.1038/nnano.2016.262.
Naskar, Amit K., Keum, Jong K., & Boeman, Raymond G.. Polymer matrix nanocomposites for automotive structural components. United States. doi:10.1038/nnano.2016.262.
Naskar, Amit K., Keum, Jong K., and Boeman, Raymond G.. 2016. "Polymer matrix nanocomposites for automotive structural components". United States. doi:10.1038/nnano.2016.262. https://www.osti.gov/servlets/purl/1335360.
@article{osti_1335360,
title = {Polymer matrix nanocomposites for automotive structural components},
author = {Naskar, Amit K. and Keum, Jong K. and Boeman, Raymond G.},
abstractNote = {Over the past several decades, the automotive industry has expended significant effort to develop lightweight parts from new easy-to-process polymeric nanocomposites. These materials have been particularly attractive because they can increase fuel efficiency and reduce greenhouse gas emissions. However, attempts to reinforce soft matrices by nanoscale reinforcing agents at commercially deployable scales have been only sporadically successful to date. This situation is due primarily to the lack of fundamental understanding of how multiscale interfacial interactions and the resultant structures affect the properties of polymer nanocomposites. In this paper, we critically evaluate the state of the art in the field and propose a possible path that may help to overcome these barriers. Finally, only once we achieve a deeper understanding of the structure–properties relationship of polymer matrix nanocomposites will we be able to develop novel structural nanocomposites with enhanced mechanical properties for automotive applications.},
doi = {10.1038/nnano.2016.262},
journal = {Nature Nanotechnology},
number = 12,
volume = 11,
place = {United States},
year = {2016},
month = {12}
}

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