On-line surface roughness measurement based on specular intensity component of speckle patterns

2008 ◽  
Author(s):  
Zhao Gao ◽  
Xuezeng Zhao
Keyword(s):  
Surface Roughness ◽  
Roughness Measurement ◽  
Surface Roughness Measurement ◽  
Speckle Patterns ◽  
On Line

Two systems for on-line oil film and surface roughness measurement for strip steel production

2007 ◽  
Vol 104 (7-8) ◽  
pp. 348-353 ◽  
Author(s):  
W. Bilstein ◽  
W. Enderle ◽  
G. Moreas ◽  
D. Oppermann ◽  
T. Routschek ◽  
...  
Keyword(s):  
Surface Roughness ◽  
Steel Production ◽  
Roughness Measurement ◽  
Strip Steel ◽  
Surface Roughness Measurement ◽  
Oil Film ◽  
Two Systems ◽  
On Line

Comparison of Surface Roughness Measurement in Dichromatic Speckle Patterns with Autocorrelation Method

2011 ◽  
Vol 189-193 ◽  
pp. 680-683 ◽  
Author(s):  
Zong Heng Yuan ◽  
Yan Hua Zhang ◽  
Jian Wei Zhang ◽  
Ye Fan Ge
Keyword(s):  
Surface Roughness ◽  
Autocorrelation Function ◽  
Correlation Length ◽  
High Reliability ◽  
Laser Speckle ◽  
Roughness Measurement ◽  
Elongation Ratio ◽  
Surface Roughness Measurement ◽  
Speckle Patterns ◽  
Autocorrelation Method

Applying autocorrelation method to process laser speckle patterns, the relation between surface roughness and speckle elongation and correlation length of autocorrelation function can be obtained, and the measured surface roughness can be achieved based on this relation. One-dimension autocorrelation and two-dimension autocorrelation function are used, Moreover, surface roughness is evaluated by speckle elongation and correlation length of autocorrelation function. Aspect ratio of speckle granular represents speckle elongation ratio, which eliminates effects of speckle granular average size on measurement results compared to other methods using before. It has high reliability and efficiency in surface roughness measurement evaluation.

scholarly journals On Line Surface Roughness Measurement Using Labview And Vision Method For E Quality Control

2020 ◽  
Author(s):  
Richard Chiou ◽  
Michael Mauk ◽  
Yueh-Ting Yang ◽  
Robin Kizirian ◽  
Yongjin Kwon
Keyword(s):  
Surface Roughness ◽  
Quality Control ◽  
Roughness Measurement ◽  
Surface Roughness Measurement ◽  
On Line

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
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