Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/29629
Title: Modeling and characterization of generation of 3D micro-structured surfaces with self-cleaning and optical functions
Authors: Kong, LB
Cheung, CF 
To, S 
Cheng, CT
Keywords: Micro-structured surface
Self-cleaning
Optical performance
Ultra-precision machining
Surface characterization
Issue Date: 2013
Publisher: Urban & Fischer
Source: Optik, 2013, v. 124, no. 17, p. 2848-2853 How to cite?
Journal: Optik 
Abstract: The applications of micro-structured surfaces have been more widespread. They have attracted a lot of attention in the research communities, especially in optics and opto-mechatronics. With the functional requirements, much effort has been made to generate micro-structured surface with self-cleaning properties by methods of using either low-surface-energy materials or modifying the surface structures. However, relative little research work has been found on producing micro-structured surfaces with both optical performance and self-cleaning properties. This paper presents a study for modeling and characterization of the generation of micro-structured surfaces with the properties of self-cleaning and optical performance. A series of simulation and experimental studies have been undertaken to obtain the optimum parameters of the structured surfaces. A typical frustum ridge structured surface has been designed and produced by ultra-precision raster milling, and the geometrical form, static water contact angle, and optical performance are characterized. The preliminary results show that the designed and fabricated micro-structured surfaces with a specified geometrical pattern and scales exhibit both self-cleaning function and the expected optical performance.
URI: http://hdl.handle.net/10397/29629
ISSN: 0030-4026
EISSN: 1618-1336
DOI: 10.1016/j.ijleo.2012.08.061
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