On-line monitoring of surface roughness in turning operations with opto-electrical transducer
by Avisekh Banerjee, Evgueni V. Bordatchev, Sounak Kumar Choudhury
International Journal of Manufacturing Research (IJMR), Vol. 4, No. 1, 2009

Abstract: This 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. [Received 4 January 2008; Revised 14 April 2008; Accepted 9 June 2008]

Online publication date: Sun, 25-Jan-2009

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