scholarly journals Internal surface roughness measurement of metal additively manufactured samples via X-ray CT: the influence of surrounding material thickness

2021 ◽  
Author(s):  
Joseph John Lifton ◽  
Yuchan Liu ◽  
Zheng Jie Tan ◽  
Bisma Mutiago ◽  
Xue Qi Goh ◽  
...  
Keyword(s):  
Surface Roughness ◽  
Internal Surface ◽  
Roughness Measurement ◽  
Surface Roughness Measurement ◽  
X Ray ◽  
Material Thickness

Surface Roughness Measurement of Thermal Barrier Coating using Terahertz Waves

2017 ◽  
Vol 137 (3) ◽  
pp. 147-152 ◽  
Author(s):  
Tetsuo Fukuchi ◽  
Norikazu Fuse ◽  
Mitsutoshi Okada ◽  
Tomoharu Fujii ◽  
Maya Mizuno ◽  
...  
Keyword(s):  
Surface Roughness ◽  
Thermal Barrier Coating ◽  
Thermal Barrier ◽  
Roughness Measurement ◽  
Terahertz Waves ◽  
Surface Roughness Measurement ◽  
Barrier Coating

Digital Object Memory Integration into Indirect Surface Roughness Measurement in Turning

2013 ◽  
Vol 465-466 ◽  
pp. 764-768 ◽  
Author(s):  
Tanel Aruväli ◽  
Tauno Otto
Keyword(s):  
Surface Roughness ◽  
Tool Wear ◽  
Digital Object ◽  
Roughness Measurement ◽  
Object Memory ◽  
Surface Roughness Measurement ◽  
Memory Integration ◽  
Evaluation Time ◽  
Roughness Evaluation ◽  
Influencing Parameters

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.

scholarly journals Surface Roughness Measurement on a Wing Aircraft by Speckle Correlation

Sensors ◽  
2013 ◽  
Vol 13 (9) ◽  
pp. 11772-11781 ◽  
Author(s):  
Félix Salazar ◽  
Alberto Barrientos
Keyword(s):  
Surface Roughness ◽  
Roughness Measurement ◽  
Surface Roughness Measurement ◽  
Speckle Correlation

SURFACE ROUGHNESS MEASUREMENT

1978 ◽  
pp. 11-49 ◽  
Author(s):  
Toshimitsu Asakura
Keyword(s):  
Surface Roughness ◽  
Roughness Measurement ◽  
Surface Roughness Measurement

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

Materials ◽  
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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