Method to Generate Surfaces with Desired Roughness Parameters
Author(s) -
Yilei Zhang,
Sriram Sundararajan
Publication year - 2007
Publication title -
langmuir
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.042
H-Index - 333
eISSN - 1520-5827
pISSN - 0743-7463
DOI - 10.1021/la063346h
Subject(s) - amplitude , surface roughness , autocorrelation , surface finish , root mean square , particle size , particle (ecology) , deposition (geology) , materials science , surface (topology) , square root , optics , mechanics , mathematics , physics , geometry , statistics , composite material , chemistry , geology , paleontology , oceanography , quantum mechanics , sediment
A surface engineering method based on the electrostatic deposition of microparticles and dry etching is described and shown to be able to independently tune both amplitude and spatial roughness parameters of the final surface. Statistical models were developed to connect process variables to the amplitude parameters (center line average and root-mean-square) and a spatial parameter (autocorrelation length) of the final surfaces. Process variables include particle coverage, which affects both amplitude and spatial roughness parameters, particle size, which affects only spatial parameters, and etch depth, which affects only amplitude parameters. Correlations between experimental data and model predictions are discussed.
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