On-line monitoring of surface roughness in turning operations with opto-electrical transducer

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DOIResolve DOI: http://doi.org/10.1504/IJMR.2009.022743
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TypeArticle
Journal titleInternational Journal of Manufacturing Research
ISSN1750-0591
Volume4
Issue1
Subjecton-line monitoring; turning operation; surface roughness; bifurcated opto-electrical transducer; regression models; neural network models; pattern recognition
AbstractThis work studies the feasibility of on-line monitoring of surface roughness in turning operations using a developed opto-electrical transducer. Regression and Neural Network (NN) models are exploited to predict surface roughness and compared to actual and on-line measurements. The comparative study suggests feasibility of using the transducer within 15% tolerance. Pattern recognition analysis of on-line roughness and vibration displacements is used for reliable (>93%) classification of actual roughness. The results provide important information for the future development of on-line diagnostics and control of surface roughness in turning operation.
Publication date
LanguageEnglish
AffiliationNRC Industrial Materials Institute; National Research Council Canada
Peer reviewedYes
NPARC number21274329
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Record identifier1863da16-3912-45d6-8904-52a062cc6bd1
Record created2015-03-10
Record modified2016-05-09
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