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Multi-scale numerical simulations of thermal expansion properties of CNT-reinforced nanocomposites

Overview of attention for article published in Discover Nano, January 2013
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Title
Multi-scale numerical simulations of thermal expansion properties of CNT-reinforced nanocomposites
Published in
Discover Nano, January 2013
DOI 10.1186/1556-276x-8-15
Pubmed ID
Authors

Alamusi, Ning Hu, Jianhui Qiu, Yuan Li, Christiana Chang, Satoshi Atobe, Hisao Fukunaga, Yaolu Liu, Huiming Ning, Liangke Wu, Jinhua Li, Weifeng Yuan, Tomonori Watanabe, Cheng Yan, Yajun Zhang

Abstract

In this work, the thermal expansion properties of carbon nanotube (CNT)-reinforced nanocomposites with CNT content ranging from 1 to 15 wt% were evaluated using a multi-scale numerical approach, in which the effects of two parameters, i.e., temperature and CNT content, were investigated extensively. For all CNT contents, the obtained results clearly revealed that within a wide low-temperature range (30°C ~ 62°C), thermal contraction is observed, while thermal expansion occurs in a high-temperature range (62°C ~ 120°C). It was found that at any specified CNT content, the thermal expansion properties vary with temperature - as temperature increases, the thermal expansion rate increases linearly. However, at a specified temperature, the absolute value of the thermal expansion rate decreases nonlinearly as the CNT content increases. Moreover, the results provided by the present multi-scale numerical model were in good agreement with those obtained from the corresponding theoretical analyses and experimental measurements in this work, which indicates that this multi-scale numerical approach provides a powerful tool to evaluate the thermal expansion properties of any type of CNT/polymer nanocomposites and therefore promotes the understanding on the thermal behaviors of CNT/polymer nanocomposites for their applications in temperature sensors, nanoelectronics devices, etc.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 34%
Student > Master 4 13%
Other 3 9%
Professor > Associate Professor 3 9%
Student > Doctoral Student 1 3%
Other 5 16%
Unknown 5 16%
Readers by discipline Count As %
Engineering 16 50%
Chemical Engineering 2 6%
Environmental Science 1 3%
Unspecified 1 3%
Materials Science 1 3%
Other 1 3%
Unknown 10 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 January 2013.
All research outputs
#22,759,802
of 25,374,647 outputs
Outputs from Discover Nano
#798
of 1,146 outputs
Outputs of similar age
#258,899
of 289,575 outputs
Outputs of similar age from Discover Nano
#22
of 82 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,146 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 82 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.