Bachmann, J and McHale, G, 2009. Superhydrophobic surfaces: a model approach to predict contact angle and surface energy of soil particles. European Journal of Soil Science, 60 (3), pp. 420-430.
Preview |
Text
200246_6637 McHale Postprint.pdf Download (4MB) | Preview |
Abstract
Wettability of soil affects a wide variety of processes including infiltration, preferential flow and surface runoff. The problem of determining contact angles and surface energy of powders, such as soil particles, remains unsolved. So far, several theories and approaches have been proposed, but formulation of surface and interfacial free energy, as regards its components, is still a very debatable issue. In the present study, the general problem of the interpretation of contact angles and surface free energy on chemically heterogeneous and rough soil particle surfaces is evaluated by a reformulation of the Cassie-Baxter equation, assuming that the particles are attached on to a plane and rigid surface. Compared with common approaches, our model considers a roughness factor that depends on the Young’s Law contact angle determined by the surface chemistry. Results of the model are discussed and compared with independent contact angle measurements using the Sessile Drop and the Wilhelmy Plate methods. Based on contact angle data, the critical surface tension of the grains were determined by the method proposed by Zisman.
Item Type: | Journal article |
---|---|
Description: | The definitive version is available at www3.interscience.wiley.com |
Publication Title: | European Journal of Soil Science |
Creators: | Bachmann, J. and McHale, G. |
Publisher: | Wiley-Blackwell (ELF) |
Date: | 2009 |
Volume: | 60 |
Number: | 3 |
Identifiers: | Number Type 10.1111/j.1365-2389.2008.01118.x DOI |
Divisions: | Schools > School of Science and Technology |
Record created by: | EPrints Services |
Date Added: | 09 Oct 2015 09:50 |
Last Modified: | 23 Aug 2016 09:06 |
URI: | https://irep.ntu.ac.uk/id/eprint/3542 |
Actions (login required)
Edit View |
Statistics
Views
Views per month over past year
Downloads
Downloads per month over past year