The platform will undergo maintenance on Sep 14 at about 7:45 AM EST and will be unavailable for approximately 2 hours.
2020
DOI: 10.1021/acsomega.9b04211
|View full text |Cite
|
Sign up to set email alerts
|

Estimating Nanoscale Surface Roughness of Polyethylene Terephthalate Fibers

Abstract: Quantitation of surface roughness is difficult, if subtle, but significant differences cause an uncommon variance. We used atomic force microscopy to measure the surface roughness of polyethylene terephthalate (PET) fibers before and after a 30 s plasma treatment of 300 W. Samples were measured multiple times at different locations, in four scan sizes. The surface roughness was expressed in terms of nine roughness parameters. Despite the large number of data, simple statistics was not able to detect significan… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
6
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
7

Relationship

1
6

Authors

Journals

citations
Cited by 12 publications
(6 citation statements)
references
References 41 publications
0
6
0
Order By: Relevance
“…Considering that surface roughness is a scale-dependent value, simple assessments of carbon fiber surface roughness are impossible. The effects of grooves, tip convolution, and scanning conditions all affect surface roughness evaluations that are not representative of the true fiber characteristics. , Surface roughness evaluations like R a are one-dimensional and incur more bias error in surface roughness estimations due to processing bias and line-by-line calculations . PSD in comparison offers holistic analysis of the AFM data.…”
Section: Results and Discussionmentioning
confidence: 99%
“…Considering that surface roughness is a scale-dependent value, simple assessments of carbon fiber surface roughness are impossible. The effects of grooves, tip convolution, and scanning conditions all affect surface roughness evaluations that are not representative of the true fiber characteristics. , Surface roughness evaluations like R a are one-dimensional and incur more bias error in surface roughness estimations due to processing bias and line-by-line calculations . PSD in comparison offers holistic analysis of the AFM data.…”
Section: Results and Discussionmentioning
confidence: 99%
“…30 During the plasma treatment, several energetic particles (positive ions, electrons, neutral gas atoms or molecules, and UV light) physically and If on one hand contaminants at the surface are removed and the surface cleaned, on the other hand, groups of atoms or small molecules are etched or eliminated from the surface, together with some radicals that are formed due to the impact of those energetic particles, both creating microdefects, which are then responsible to form rougher and activated surfaces. [31][32][33] In the case of EDA_E2050_30_Braid samples (Figures 4d-f), the morphology of the composing filaments becomes completely different.…”
Section: Sem Analysismentioning
confidence: 98%
“…Morphological changes usually result in increased roughness sometimes in the nanometer scale and it may not be visible on regular SEM micrographs. It can be revealed only at higher magnification or with other microscope techniques, based on different principle [129]. It is also worth noting that when treated with a polymerizing gas, the layer formed tends to mask the irregularities on the surface, so in this case the surface roughness reduced indeed.…”
Section: Morphological Changes-microscopically Visible Changesmentioning
confidence: 99%