Surface roughness monitoring using computer vision

In this paper, a comparative experimental surface roughness measurement method based on the speckle pattern caused by a laser beam on a rough surface is presented. Surfaces with known surface roughness are measured using this method to obtain a calibration curve. This information is used to measure...

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Bibliographic Details
Published inInternational journal of machine tools & manufacture Vol. 36; no. 7; pp. 817 - 828
Main Authors Sodhi, Manbir S., Tiliouine, Khalil
Format Journal Article
LanguageEnglish
Published Oxford Elsevier Ltd 01.07.1996
Elsevier
Subjects
Applied sciences
Calibration
Computer vision
Exact sciences and technology
Grinding (machining)
Grinding wheels
Industrial metrology. Testing
Laser beams
Mechanical engineering. Machine design
Monitoring
Online systems
Speckle
Surface roughness
Optical interferometry
Computer vision
On line
Roughness
Machining
Speckle
Calibration
Rough surface
Experimental study
Surface metrology
Grinding
Laser
Optical method
Metrology
Monitoring
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Summary:In this paper, a comparative experimental surface roughness measurement method based on the speckle pattern caused by a laser beam on a rough surface is presented. Surfaces with known surface roughness are measured using this method to obtain a calibration curve. This information is used to measure surfaces produced by surface grinding, and the results compared with stylus measurements. The online use of this method for tracking the roughness of a workpiece being processed on a surface grinder and to monitor the condition of the grinding wheel is also reported.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0890-6955
1879-2170
DOI:10.1016/0890-6955(96)00082-X