2023
DOI: 10.1063/5.0174008
|View full text |Cite
|
Sign up to set email alerts
|

Evaluating surface roughness of curved surface with circular profile based on arithmetic circular arc fitting

Jian Li,
Wei Xu,
Tao Shen
et al.

Abstract: A procedure based on Kåsa fit for evaluating the surface roughness of a curved surface with a circular arc profile was suggested in this paper. To investigate the effectiveness of the method, some curved surface profiles with preset surface roughness were numerically generated, and their surface roughness was evaluated by the procedure based on Kåsa fit. And the surface roughness of two experimental surface profiles evaluated by the method based on Kåsa fit was compared with those evaluated by linear fitting a… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
1
1

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 54 publications
0
1
0
Order By: Relevance
“…The most common method to achieve this sampling is the use of contact profilometers [ 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 ] as a reliable but time-consuming method. Some other methods use the non-contact surface exploration by lasers [ 11 ], laser interferometry [ 12 , 13 ], laser confocal microscopes [ 14 ], optical systems [ 15 , 16 , 17 , 18 ], machine vision systems [ 19 ], or are inspired by research into the optical properties of surfaces (ability to split white light, diffractive properties) using scanning electron microscopy and atomic force microscopy [ 20 ].…”
Section: Introductionmentioning
confidence: 99%
“…The most common method to achieve this sampling is the use of contact profilometers [ 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 ] as a reliable but time-consuming method. Some other methods use the non-contact surface exploration by lasers [ 11 ], laser interferometry [ 12 , 13 ], laser confocal microscopes [ 14 ], optical systems [ 15 , 16 , 17 , 18 ], machine vision systems [ 19 ], or are inspired by research into the optical properties of surfaces (ability to split white light, diffractive properties) using scanning electron microscopy and atomic force microscopy [ 20 ].…”
Section: Introductionmentioning
confidence: 99%