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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Online Access: | http://dx.doi.org/10.1063/1.4886380 |
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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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1725944067071672320 |