Skin Surface Roughness Measurement for Assessing Scaliness of Psoriasis Lesions

The paper investigates in-process signal usage in turning for indirect surface roughness measurement. Based on theoretical surface roughness value and in-process signal, a model is proposed for surface roughness evaluation. Time surface roughness and in-process signal surface roughness correlation based analysis is performed to characterize tool wear component behavior among others. Influencing parameters are grouped based on their behavior in time. Moreover, Digital Object Memory based solution and algorithm is proposed to automate indirect surface roughness measurement process.

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Surface Roughness Measurement on a Wing Aircraft by Speckle Correlation

Sensors ◽

10.3390/s130911772 ◽

2013 ◽

Vol 13 (9) ◽

pp. 11772-11781 ◽

Cited By ~ 12

Author(s):

Félix Salazar ◽

Alberto Barrientos

Keyword(s):

Surface Roughness ◽

Roughness Measurement ◽

Surface Roughness Measurement ◽

Speckle Correlation

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SURFACE ROUGHNESS MEASUREMENT

Speckle Metrology ◽

10.1016/b978-0-12-241360-5.50009-1 ◽

1978 ◽

pp. 11-49 ◽

Cited By ~ 18

Author(s):

Toshimitsu Asakura

Keyword(s):

Surface Roughness ◽

Roughness Measurement ◽

Surface Roughness Measurement

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Quantitative Evaluation of Skin Surface Roughness Using Optical Coherence Tomography In Vivo

IEEE Journal of Selected Topics in Quantum Electronics ◽

10.1109/jstqe.2018.2873489 ◽

2019 ◽

Vol 25 (1) ◽

pp. 1-8 ◽

Cited By ~ 6

Author(s):

Sanzhar Askaruly ◽

Yujin Ahn ◽

Hyeongeun Kim ◽

Andrey Vavilin ◽

Sungbea Ban ◽

...

Keyword(s):

Surface Roughness ◽

Optical Coherence Tomography ◽

Quantitative Evaluation ◽

Skin Surface ◽

Optical Coherence ◽

Skin Surface Roughness

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Numerical Study on Surface Roughness Measurement Based on Nonlinear Ultrasonics in Through-Transmission and Pulse-Echo Modes

Materials ◽

10.3390/ma14174855 ◽

2021 ◽

Vol 14 (17) ◽

pp. 4855

Author(s):

Maodan Yuan ◽

Anbang Dai ◽

Lin Liao ◽

Yan Chen ◽

Xuanrong Ji

Keyword(s):

Surface Roughness ◽

Numerical Study ◽

Material Model ◽

Nonlinearity Parameter ◽

Fe Model ◽

Roughness Measurement ◽

Monitoring Method ◽

Surface Roughness Measurement ◽

Nonlinear Ultrasonics ◽

Pulse Echo

Ultrasonic is one of the well-known methods for surface roughness measurement, but small roughness will only lead to a subtle variation of transmission or reflection. To explore sensitive techniques for surfaces with small roughness, nonlinear ultrasonic measurement in through-transmission and pulse-echo modes was proposed and studied based on an effective unit-cell finite element (FE) model. Higher harmonic generation in solids was realized by applying the Murnaghan hyperelastic material model. This FE model was verified by comparing the absolute value of the nonlinearity parameter with the analytical solution. Then, random surfaces with different roughness values ranging from 0 μm to 200 μm were repeatedly generated and studied in the two modes. The through-transmission mode is very suitable to measure the surfaces with roughness as small as 3% of the wavelength. The pulse-echo mode is sensitive and effective to measure the surface roughness ranging from 0.78% to 5.47% of the wavelength. This study offers a potential nondestructive testing and monitoring method for the interfaces or inner surfaces of the in-service structures.

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