9783110258530-3110258536-Wetting of Real Surfaces (de Gruyter Studies in Mathematical Physics)

Wetting of Real Surfaces (de Gruyter Studies in Mathematical Physics)

ISBN-13: 9783110258530
ISBN-10: 3110258536
Author: Edward Yu. Bormashenko
Publication date: 2013
Publisher: de Gruyter
Format: Hardcover 170 pages
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ISBN-13: 9783110258530
ISBN-10: 3110258536
Author: Edward Yu. Bormashenko
Publication date: 2013
Publisher: de Gruyter
Format: Hardcover 170 pages

Summary

Wetting of Real Surfaces (de Gruyter Studies in Mathematical Physics) (ISBN-13: 9783110258530 and ISBN-10: 3110258536), written by authors Edward Yu. Bormashenko, was published by de Gruyter in 2013. With an overall rating of 4.5 stars, it's a notable title among other books. You can easily purchase or rent Wetting of Real Surfaces (de Gruyter Studies in Mathematical Physics) (Hardcover) from BooksRun, along with many other new and used books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.37.

Description

The revealing of the phenomenon of superhydrophobicity (the "lotus-effect") has stimulated an interest in wetting of real (rough and chemically heterogeneous) surfaces. In spite of the fact that wetting has been exposed to intensive research for more than 200 years, there still is a broad field open for theoretical and experimental research, including recently revealed superhydrophobic, superoleophobic and superhydrophilic surfaces, so-called liquid marbles, wetting transitions, etc. This book integrates all these aspects within a general framework of wetting of real surfaces, where physical and chemical heterogeneity is essential. Wetting of rough/heterogeneous surfaces is discussed through the use of the variational approach developed recently by the author. It allows natural and elegant grounding of main equations describing wetting of solid surfaces, i.e. Young, Wenzel and Cassie-Baxter equations. The problems of superhydrophobicity, wetting transitions and contact angle hysteresis are discussed in much detail, in view of novel models and new experimental data.
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