Prediction of the adhesive behavior of bio-inspired functionally graded materials against rough surfaces

Roughness effect and adhesion properties are important characteristics to be accessed in the development of functionally graded materials for biological and biomimetic applications, particularly for the hierarchical composition in biomimetic gecko robot. A multi-asperities adhesion model to predict...

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Main Authors: Chen Peijian, Peng Juan, Zhao Yucheng, Gao Feng
Format: Article
Language:English
Published: AIP Publishing LLC 2014-06-01
Series:AIP Advances
Online Access:http://dx.doi.org/10.1063/1.4886380
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spelling doaj-9c910d5b2e25419d8d18156a5123aeff2020-11-24T21:35:47ZengAIP Publishing LLCAIP Advances2158-32262014-06-0146067143067143-1110.1063/1.4886380041406ADVPrediction of the adhesive behavior of bio-inspired functionally graded materials against rough surfacesChen Peijian0Peng Juan1Zhao Yucheng2Gao Feng3School of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou, Jiangsu 221116, ChinaDepartment of Physics, China University of Mining and Technology, Xuzhou, Jiangsu Province 221116, ChinaSchool of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou, Jiangsu 221116, ChinaSchool of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou, Jiangsu 221116, ChinaRoughness effect and adhesion properties are important characteristics to be accessed in the development of functionally graded materials for biological and biomimetic applications, particularly for the hierarchical composition in biomimetic gecko robot. A multi-asperities adhesion model to predict the adhesive forces is presented in this work. The effect of surface roughness and graded material properties, which significantly alter the adhesive strength between contact bodies, can be simultaneously considered in the generalized model. It is found that proper interfacial strength can be controlled by adjusting surface roughness σ / R, graded exponent k and material parameter E*R / Δγ. The results should be helpful in the design of new biomimetic materials and useful in application of micro functional instruments.http://dx.doi.org/10.1063/1.4886380
collection DOAJ
language English
format Article
sources DOAJ
author Chen Peijian
Peng Juan
Zhao Yucheng
Gao Feng
spellingShingle Chen Peijian
Peng Juan
Zhao Yucheng
Gao Feng
Prediction of the adhesive behavior of bio-inspired functionally graded materials against rough surfaces
AIP Advances
author_facet Chen Peijian
Peng Juan
Zhao Yucheng
Gao Feng
author_sort Chen Peijian
title Prediction of the adhesive behavior of bio-inspired functionally graded materials against rough surfaces
title_short Prediction of the adhesive behavior of bio-inspired functionally graded materials against rough surfaces
title_full Prediction of the adhesive behavior of bio-inspired functionally graded materials against rough surfaces
title_fullStr Prediction of the adhesive behavior of bio-inspired functionally graded materials against rough surfaces
title_full_unstemmed Prediction of the adhesive behavior of bio-inspired functionally graded materials against rough surfaces
title_sort prediction of the adhesive behavior of bio-inspired functionally graded materials against rough surfaces
publisher AIP Publishing LLC
series AIP Advances
issn 2158-3226
publishDate 2014-06-01
description Roughness effect and adhesion properties are important characteristics to be accessed in the development of functionally graded materials for biological and biomimetic applications, particularly for the hierarchical composition in biomimetic gecko robot. A multi-asperities adhesion model to predict the adhesive forces is presented in this work. The effect of surface roughness and graded material properties, which significantly alter the adhesive strength between contact bodies, can be simultaneously considered in the generalized model. It is found that proper interfacial strength can be controlled by adjusting surface roughness σ / R, graded exponent k and material parameter E*R / Δγ. The results should be helpful in the design of new biomimetic materials and useful in application of micro functional instruments.
url http://dx.doi.org/10.1063/1.4886380
work_keys_str_mv AT chenpeijian predictionoftheadhesivebehaviorofbioinspiredfunctionallygradedmaterialsagainstroughsurfaces
AT pengjuan predictionoftheadhesivebehaviorofbioinspiredfunctionallygradedmaterialsagainstroughsurfaces
AT zhaoyucheng predictionoftheadhesivebehaviorofbioinspiredfunctionallygradedmaterialsagainstroughsurfaces
AT gaofeng predictionoftheadhesivebehaviorofbioinspiredfunctionallygradedmaterialsagainstroughsurfaces
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