Surface roughness mapping of large area curved aerospace components through spectral correlation of speckle images
Measurement of surface roughness over a large area is a very challenging task due to the limitations with the existing techniques. Surface roughness measurement techniques including stylus and microscopy are limited by point-by-point data acquisition and a small field of view (FOV). In effect, any s...
Saved in:
Main Authors: | Haridas, Aswin, Prabhathan, P., Pulkit, K., Chan, Kelvin, Murukeshan, Vadakke Matham |
---|---|
Other Authors: | School of Mechanical and Aerospace Engineering |
Format: | Article |
Language: | English |
Published: |
2020
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/143976 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Experimental investigations and parametric studies of surface roughness measurements using spectrally correlated speckle images
by: Prabhathan, Patinharekandy, et al.
Published: (2019) -
Surface roughness evaluation of additive manufactured metallic components from white light images captured using a flexible fiberscope
by: Haridas, Aswin, et al.
Published: (2020) -
Intensity and contrast based surface roughness measurement approaches for rough and shiny surfaces
by: Prabhathan, P., et al.
Published: (2019) -
Fractal speckle image analysis for surface characterization of aerospace structures
by: Haridas, Aswin, et al.
Published: (2019) -
Design and simulation of GRIN objective lenses for an imaging fiber based speckle metrology system
by: Prasad, A. S. Guru, et al.
Published: (2018)