Modeling of Biologically Inspired Adhesive Pads Using Monte Carlo Analysis

Masoud Safdari Georgia Institute of Technology, Materials Science and Engineering, 771 Ferst Drive, N.W., Atlanta, GA 30332-0245, USA, University of New Mexico, Mechanical Engineering Department, 1 University of New Mexico, MSC01 1150, Albuquerque, NM 87131, USA

Majid Baniassadi Georgia Institute of Technology, Materials Science and Engineering, 771 Ferst Drive, N.W., Atlanta, GA 30332-0245, USA, University of Strasbourg, Institute of Fluid and Solid Mechanics; IMFS, 2 Rue Boussingault, 67000 Strasbourg, France

Sasan Asiaei Georgia Institute of Technology, Materials Science and Engineering, 771 Ferst Drive, N.W., Atlanta, GA 30332-0245, USA, Department of Mechanical and Mechatronics Engineering, University of Waterloo, 200 University Avenue West, Waterloo, Ontario, N2L 3G1, Canada

Hamid Garmestani Georgia Institute of Technology, Materials Science and Engineering, 771 Ferst Drive, N.W., Atlanta, GA 30332-0245, USA;, Email: [email protected]

Said Ahzi Georgia Institute of Technology, Materials Science and Engineering, 771 Ferst Drive, N.W., Atlanta, GA 30332-0245, USA, University of Strasbourg, Institute of Fluid and Solid Mechanics; IMFS, 2 Rue Boussingault, 67000 Strasbourg, France

Abstract

Recently, the analysis and prototyping of biologically inspired adhesive pads have been the subject of growing interest. Similar to biological counterparts, these synthetic adhesives consist of rafts of tiny protruding fibers. The adhesion performance of these micro-engineered products is highly dependent on the geometrical and mechanical properties of the micro-fibers and the surface they adhere to. Small fluctuations in these parameters can drastically change their adhesion performance. In this investigation, a comprehensive mathematical model of a single micro-fiber with adhesion capability in contact with an uneven surface has been developed and the behavior of the model studied. To provide more realistic results, this analytical model could be extended to an array of micro-fibers. Thus, in a further step, using a Monte Carlo simulation, we studied an array of these micro-fibers under more realistic conditions with several degrees of uncertainty. The results deduced by this novel modeling approach are in good agreement with the experimental measurements of adhesion performance in synthetic adhesive pads available in literature.

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Modeling of Biologically Inspired Adhesive Pads Using Monte Carlo Analysis

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