Many modern anti-icing and anti-fouling coatings rely on soft, low surface energy elastomeric materials such as polydimethylsiloxane for their functionality. While the low surface energy is desirable for reducing adhesion, very little work considers the larger contribution to adhesive failure caused by the viscoelastic nature of elastomers. Here we examine several different siloxane elastomers using a JKR adhesion test, which was operated over a range of different speeds and temperatures. Additionally, we characterize the dynamic mechanical modulus over a large range of frequencies for each material. We note that surface energies of the materials are all similar, but variation in adhesion strength is clear in the data. The variation at low speeds is related to elastomer architecture but the speed dependence itself is independent of architecture. Qualitative correlations are noted between the JKR adhesion measurements and the dynamic moduli. Finally, an attempt is made to directly compare moduli and adhesion through the recent Persson–Brener model. Approximations of the model are shown to be inaccurate. The full model is found to be accurate at low speeds, although it fails to precisely capture higher speed behaviour.
Skip Nav Destination
Article navigation
14 November 2023
Research Article|
November 13 2023
Silicone elastomers and the Persson-Brener adhesion model
Special Collection:
Adhesion and Friction
Kurt R. VanDonselaar
;
Kurt R. VanDonselaar
(Conceptualization, Formal analysis, Investigation, Methodology, Writing – original draft, Writing – review & editing)
1
Department of Physics, North Dakota State University
, Fargo, North Dakota 58102, USA
Search for other works by this author on:
Daniel A. Bellido-Aguilar
;
Daniel A. Bellido-Aguilar
(Methodology, Writing – review & editing)
2
Department of Coatings and Polymeric Materials, North Dakota State University
, Fargo, North Dakota 58102, USA
Search for other works by this author on:
Maryam Safaripour
;
Maryam Safaripour
(Methodology, Resources)
2
Department of Coatings and Polymeric Materials, North Dakota State University
, Fargo, North Dakota 58102, USA
Search for other works by this author on:
Hyemin Kim
;
Hyemin Kim
(Methodology, Resources)
3
Polymer Science and Engineering Department, University of Massachusetts Amherst
, 120 Governors Drive, Amherst, Massachusetts 01002, USA
Search for other works by this author on:
James J. Watkins
;
James J. Watkins
(Funding acquisition, Resources, Supervision)
3
Polymer Science and Engineering Department, University of Massachusetts Amherst
, 120 Governors Drive, Amherst, Massachusetts 01002, USA
Search for other works by this author on:
Alfred J. Crosby
;
Alfred J. Crosby
(Funding acquisition, Resources, Supervision)
3
Polymer Science and Engineering Department, University of Massachusetts Amherst
, 120 Governors Drive, Amherst, Massachusetts 01002, USA
Search for other works by this author on:
Dean C. Webster
;
Dean C. Webster
(Funding acquisition, Resources, Supervision)
2
Department of Coatings and Polymeric Materials, North Dakota State University
, Fargo, North Dakota 58102, USA
Search for other works by this author on:
Andrew B. Croll
Andrew B. Croll
a)
(Conceptualization, Formal analysis, Funding acquisition, Methodology, Resources, Supervision, Writing – original draft, Writing – review & editing)
1
Department of Physics, North Dakota State University
, Fargo, North Dakota 58102, USA
4
Materials and Nanotechnology, North Dakota State University
, Fargo, North Dakota 58102, USA
a)Author to whom correspondence should be addressed: andrew.croll@ndsu.edu
Search for other works by this author on:
a)Author to whom correspondence should be addressed: andrew.croll@ndsu.edu
J. Chem. Phys. 159, 184708 (2023)
Article history
Received:
August 15 2023
Accepted:
October 18 2023
Citation
Kurt R. VanDonselaar, Daniel A. Bellido-Aguilar, Maryam Safaripour, Hyemin Kim, James J. Watkins, Alfred J. Crosby, Dean C. Webster, Andrew B. Croll; Silicone elastomers and the Persson-Brener adhesion model. J. Chem. Phys. 14 November 2023; 159 (18): 184708. https://doi.org/10.1063/5.0172415
Download citation file:
Sign in
Don't already have an account? Register
Sign In
You could not be signed in. Please check your credentials and make sure you have an active account and try again.
Pay-Per-View Access
$40.00
Citing articles via
DeePMD-kit v2: A software package for deep potential models
Jinzhe Zeng, Duo Zhang, et al.