AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
Home Friction Article
PDF (1.1 MB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Research Article | Open Access

Morphology-influenced wetting model of nanopore structures

Sunghan KIMHyunho CHOIAndreas A. POLYCARPOUHong LIANG( )
Department of Mechanical Engineering, Texas A&M University, College Station, Texas 77843-3123, USA
School of Materials Science and Engineering, Georgia Institute of Technology, Atlanta 30332, USA
Show Author Information

Abstract

Understanding the wetting behavior of nanostructures is important for surface design. The present study examined the intrinsic wettability of nanopore structures, and proposed a theoretical wetting model. Using this model, it was found that the wetting behavior of nanopore structures depends on the morphology of a surface. To accurately predict the wetting behavior of nanopore structures, correction factors were introduced. As a result, the proposed wetting model can be used to predict the wettability of nanopore structures for various engineering purposes.

References

【1】
【1】
 
 
Friction
Pages 249-256

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
KIM S, CHOI H, POLYCARPOU AA, et al. Morphology-influenced wetting model of nanopore structures. Friction, 2016, 4(3): 249-256. https://doi.org/10.1007/s40544-016-0122-x

1188

Views

58

Downloads

9

Crossref

N/A

Web of Science

10

Scopus

0

CSCD

Received: 06 March 2016
Revised: 07 June 2016
Accepted: 14 July 2016
Published: 09 September 2016
© The author(s) 2016

This article is published with open access at Springerlink.com

Open Access: The articles published in this journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http:// creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.