139
Views
0
CrossRef citations to date
0
Altmetric
Original Articles

Simulation analysis on surface morphology and superior adhesive properties of honeybee footpad

ORCID Icon, , , &
Pages 2069-2081 | Received 15 Mar 2022, Accepted 06 Jul 2022, Published online: 14 Oct 2022
 

Abstract

Many animals adhere to surfaces with their toes or footpads. To achieve adherence, honeybees have evolved unique footpads. The adhesion movement involves the unfolding adhesion and contraction desorption of the footpad on the contact surface. We characterized honeybee footpad adhesion by phenotypic analyses and a simulation approach. As determined by stereomicroscopy and scanning electron microscopy, when bonded, the honeybee footpad resembled an unfolded flat plate. Adhesion resulted from the unfolding of the honeybee footpad and fluid secretion from the footpad. In conjunction with these observations, a modeling approach (using Surface Evolver) was used to evaluate the micro/nanostructure of the honeybee footpad during wet adhesion. Different slenderness ratio models revealed the strength of honeybee adhesion force. Then, using an imitation centrifugal test stand, an adhesion force of 11.5 times the weight of the honeybees was detected and compared to the modeling results. These results indicated that the superior adhesion properties of honeybees were a result of the combined effect of the footpad micro/nanostructure and the liquid bridge.

Acknowledgments

We thank the Center for Biomedical Analysis, Tsinghua University, Beijing, China, for help in specimen processing and scanning electron microscopy image capture. This work was supported by the [National Natural Science Foundation of China #1] under Grant [number 52075038]; the [Natural Science Foundation of Beijing Municipality #2] under Grant [number 3212012]; the [Opening Project of the Key Laboratory of Tribology Tsinghua University #3] under Grant [number SKLTKF20B06]; and the [Opening Project of the Key Laboratory of Bionic Engineering (Ministry of Education) Jilin University #4] under Grant [number KF20200001].

Disclosure statement

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this article.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 432.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.