Modelling and on-line monitoring of machined surface in turning operations

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Proceedings titleInformation technology for balanced manufacturing systems
Series titleIFIP International Federation for Information Processing; no. 220
Conference7th IFIP International Conference on Information Technology for Balanced Automation Systems in Manufacturing and Services, September 4th to 6th 2006, Niagara Falls, Ontario
Pages489498; # of pages: 10
Subjectinformation systems applications
AbstractMachined surface profile and roughness are important parameters in evaluating the quality of a machining operation. They are resulted from the transformation of the complex tool-workpiece displacements involving the dynamics of the machine tool mechanical system, cutting process, and cutting motions. The focus of this study is the fundamental understanding of the surface profile formation during turning and development of regression and neural network (NN) models of surface roughness incorporating the effects of cutting parameters and tool-workpiece displacements. Also, a bifurcated opto- electrical transducer was developed for on-line monitoring of surface roughness based on the scattering of laser beams from machined surface. The feasibility of on-line monitoring was studied by comparing with actual roughness as well as the prediction results of the regression and NN models.
Publication date
PublisherSpringer US
AffiliationNRC Industrial Materials Institute; National Research Council Canada
Peer reviewedYes
NPARC number21274282
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Record identifier0ad042c7-6c54-4eb9-a496-6fd268b08340
Record created2015-03-09
Record modified2016-05-09
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